The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index; 42 of the 70 sources its claims cite were checked for support.
Digital Twin Technology Challenges and Applications: A Comprehensive Review
Open accessAbstract
A digital twin is a virtual representation of a physical object or process capable of collecting information from the real environment to represent, validate and simulate the physical twin’s present and future behavior. It is a key enabler of data-driven decision making, complex systems monitoring, product validation and simulation and object lifecycle management. As an emergent technology, its widespread implementation is increasing in several domains such as industrial, automotive, medicine, smart cities, etc. The objective of this systematic literature review is to present a comprehensive view on the DT technology and its implementation challenges and limits in the most relevant domains and applications in engineering and beyond.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This systematic literature review surveys digital twin (DT) technology across smart cities, freight logistics, medicine, engineering, and automotive domains, focusing on implementation challenges, enabling technologies, and maturity. It finds DT applications are still early-stage, with most at maturity level 3 or below and generally low societal readiness.
Key findings
- The review selected 115 publications, retained 84 references, and analyzed 18 recent (2019–present) studies in depth for comparative analysis of enabling technologies, TRL, SRL, and maturity.
- The global DT market was valued at USD $3.8 billion in 2019 and is expected to reach USD $35.8 billion by 2025, yet less than 5% of companies had something tangible at the time.
- Most DT concepts in the literature are at maturity levels 0–3; Table 2 shows most applications at maturity level 3, with high TRL especially in smart cities and automotive, but all domains showing low societal readiness levels.
- Five common implementation challenges are identified: data issues (trust, privacy, cybersecurity, governance, acquisition, large-scale analysis); lack of standards, frameworks, and regulations; high implementation costs; use of AI and big data for long-term/large-scale analysis; and communication network obstacles such as the need for 5G.
Methods
- A systematic literature review (SLR) was conducted following Charles Sturt University guidelines and Cochrane Handbook principles, with research questions on DT state of the art, implementation challenges, Latin American limitations, and enabling technology trends.
- Searches used ResearchGate, MDPI, Science Direct, and ProQuest; inclusion criteria required “digital twin” in keywords or title, publication from 2017 onward, and selection from Q1/Q2 Scopus-ranked journals across application industries.
- From 115 collected publications, 84 references were retained, and 18 recent studies were analyzed in depth using a comparative table covering enabling technologies, TRL, SRL, maturity level, application industry, evaluation methods, physical twin, and sensors.
Limitations
- The paper states five main DT implementation limitations: data-related issues (trust, privacy, cybersecurity, governance, acquisition, large-scale analysis); lack of standards, frameworks, and regulations; high costs from sensors and computational resources; challenges in using AI and big data for long-term/large-scale analysis; and communication network obstacles, including the need for faster interfaces such as 5G.
- The paper also states that most DT applications have not reached high SRL, with relevant stakeholders often not identified or consulted and societal/environmental impact not well defined.
- Evident from the text: the review is limited to publications from 2017 onward and mainly Q1/Q2 journals, with only 18 studies analyzed in depth; it is a literature synthesis without primary experimental validation, and the Latin American discussion notes greater challenges due to limited access to high-end technology in developing countries.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
42 of 70 cited sources checked · 19 supported · 2 flagged · accuracy not yet measured
Every source the paper cites for this claim was checked and supports it.
In the paper
“Additionally, high levels of fidelity represent some of the major limitations of bringing DTs up to the next level [43].”
§ remote sensing > •
What the sources say
- Supportedcites [43] Jones, 2020, Characterising the Digital Twin: A systematic literature review, CIRP J. Manuf.g Sci. Technol. source
The “Levels of fidelity” section says an exhaustive high-fidelity Digital Twin has yet to be demonstrated and may not currently be achievable because of network-speed and computational-processing constraints. It also identifies the expense and technical difficulty of implementation, supporting the claim that achieving high fidelity is a major limitation for further development. (LLM, conf=0.90)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Issues related to data (trust, privacy, cybersecurity, convergence and governance, acquisition and large-scale analysis) [10].”
§ remote sensing > 5.1. Application Challenges and Limitations
What the sources say
- Supportedcites [10] Singh, M., Fuenmayor, E., Hinchy, E.P., Qiao, Y., Murray, N., and Devine, D. (2021). Digital Twin: Origin to Future. Appl. Syst. Innov., 4. source
Section 4.2.4 (Data Related Issues; page unavailable) identifies privacy, cybersecurity, data convergence and governance, and difficulties identifying and accessing data as digital-twin challenges. Its discussion of ownership and sharing addresses trust-related concerns; section 4.2.2 (Time and Cost; page unavailable) describes the infrastructure and computational demands of processing data at scale. (LLM, conf=0.86)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: The reviewed literature is sufficiently comprehensive to identify the main challenges common to all domains.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Implementations of DTs in medicine have recently started to be reported in the literature [51].”
§ remote sensing > 3.3. Medicine
What the sources say
- Supportedcites [51] Shengli, 2021, Is Human Digital Twin possible?, Comput. Methods Programs Biomed. Update source
Section 3.3, “Applications and researches in healthcare” (page not available), reports published work developing a human digital-twin model to detect carotid stenosis and presenting a digital twin for health and well-being. The reference list dates these examples to 2019, supporting the claim that medical digital-twin implementations had recently begun appearing in the literature. (LLM, conf=0.91)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“This makes multi-physics modeling an important part of DT implementation for EVs.”
§ remote sensing > Electric Vehicles
What the sources say
- Supportedcites [73] Sanjurjo, 2021, Thermal Parameter and State Estimation for Digital Twins of E-Powertrain Components, IEEE Access source
The Introduction says EV powertrain components are multiphysics systems and that their design and operation require consideration of coupled effects. It also describes incorporating thermal effects into digital twins of those components, supporting the broad claim about EV digital-twin implementation. (LLM, conf=0.89)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Due to the expensiveness of DT implementations, their accessibility is limited by the accessibility of such resources, which is often poor in developing countries [79].”
§ remote sensing > 3.
What the sources say
- Supportedcites [79] Kshetri, 2021, The Economics of Digital Twins, Computer source
The COST-BENEFIT, TECHNICAL, AND OTHER CONSIDERATIONS section says high costs can constrain the benefits of digital twins. LIMITATIONS AND BARRIERS says developing economies may be unable to benefit because the computing power and bandwidth needed for high-fidelity models are beyond their reach. Page numbers are not available in our copy. (LLM, conf=0.88)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: The reviewed literature is sufficiently comprehensive to identify the main challenges common to all domains.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“The DT concept is key for modeling, simulating and optimizing cyber-physical systems [58].”
§ remote sensing > 3.4. Engineering
What the sources say
- Supportedcites [58] Guerra, 2019, Digital Twin-Based Optimization for Ultraprecision Motion Systems With Backlash and Friction, IEEE Access source
The Introduction explicitly describes the digital twin approach as a key concept for modeling, simulation, and optimization of industrial cyber-physical systems. The citing sentence closely paraphrases that statement. (LLM, conf=0.95)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“One of the biggest challenges of the HDT is that although some variables can be monitored to infer certain threats, other human traits, such as thinking, reactions and behavior, can be, to some extent, unpredictable, because humans are more complex than manufacturing processes.”
§ remote sensing > 3.3. Medicine
What the sources say
- Supportedcites [51] Shengli, 2021, Is Human Digital Twin possible?, Comput. Methods Programs Biomed. Update source
Section 5.2 (page unavailable) says human reactions have subjective as well as objective aspects, that humans are harder to model than ordinary digital twins, and that many laws of human behavior are statistical rather than rigid. The Conclusion (page unavailable) identifies human complexity as an HDT challenge. Together, these support the qualified point that thinking, reactions, and behavior can be difficult to predict relative to manufacturing systems. (LLM, conf=0.86)
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“The use of AI and big data to satisfy the long-term and large-scale requirements for data analysis [13,81].”
§ remote sensing > 3.
What the sources say
- Partly supportedcites [13] Juarez, 2021, Digital Twins: Review and Challenges, J. Comput. Inf. Sci. Eng. sourceExperimental — accuracy not yet measured
Section 3.2.2 (Big Data; page unavailable) says Big Data helps analyze data that evolve and reach large proportions. Section 4 (Utilize; page unavailable) recommends AI for digital-twin decisions and predictions. The paper does not specifically describe their combined use as a challenge of meeting long-term, large-scale data-analysis requirements. (LLM, conf=0.83)
- Partly supportedcites [81] Koturwar, P., Girase, S., and Mukhopadhyay, D. (2015). A Survey of Classification Techniques in the Area of Big Data. arXiv. sourceExperimental — accuracy not yet measured
The Introduction (pp. 1–2) describes the difficulty of processing and analyzing large, growing datasets, and the paper discusses classification techniques for big data. It does not specifically frame the challenge as using AI and big data to meet long-term data-analysis requirements. (LLM, conf=0.84)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: The reviewed literature is sufficiently comprehensive to identify the main challenges common to all domains.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“It is difficult for designers to mimic or model behaviors that cannot be explained by numbers.Such is the case of social conflicts, sociopolitical issues, social inequality [79] and environmental sustainability [80].”
§ remote sensing > 5.1. Application Challenges and Limitations
What the sources say
- Partly supportedcites [79] Kshetri, 2021, The Economics of Digital Twins, Computer sourceExperimental — accuracy not yet measured
The LIMITATIONS AND BARRIERS section says digital twins may not help address social inequality and are unlikely to address underlying sociopolitical issues. It does not say designers cannot model behaviors that resist numerical explanation, or discuss social conflicts. Environmental sustainability has a separate citation [80] in the citing sentence and is not assessed against this source. (LLM, conf=0.85)
- Partly supportedcites [80] Carvalho, R., and Da Silva, A. (2021). Sustainability Requirements of Digital Twin-Based Systems: A Meta Systematic Literature Review. Appl. Sci., 11. sourceExperimental — accuracy not yet measured
Citation [80] is attached to environmental sustainability, not the social issues cited to [79]. The Discussion says there is no integrated approach to understanding how digital twins can create environmental sustainability and that evaluating environmental costs adds work and complexity. It does not say environmental sustainability cannot be explained by numbers or that designers therefore cannot model it. (LLM, conf=0.78)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: The reviewed literature is sufficiently comprehensive to identify the main challenges common to all domains.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“The authors of [77] discuss that implementations of DTs are limited due to a lack of standards and recognized interoperability, especially in the manufacturing domain.”
§ remote sensing > 5.1. Application Challenges and Limitations
What the sources say
- Partly supportedcites [77] Harrison, 2021, A Connective Framework to Support the Lifecycle of Cyber–Physical Production Systems, Proc. IEEE sourceExperimental — accuracy not yet measured
In “CPPS and Emerging Digital Twins” (page not provided), the paper calls integration of the data-sharing entities needed for high-fidelity digital twins a major challenge in manufacturing. It discusses digital-twin standards and a manufacturing framework, but does not say that a lack of standards or recognized interoperability limits implementations. (LLM, conf=0.84)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: The reviewed literature is sufficiently comprehensive to identify the main challenges common to all domains.
- Partly supported
- Probably not a substantial claim. 49
- It may state two separate claims as one. 35
At least one cited source doesn’t support this claim or points to a different paper, and none confirmed it — see the verdicts below.
In the paper
“The European initiative seeks to develop “a distributed and international knowledge platform to facilitate multistakeholder collaboration and partnerships, sharing information, best practices, and policy advice among the United Nations Member States, civil society, the private sector, the scientific community and other stakeholders” [39].”
§ remote sensing > 3.1. Smart Cities and Urban Spaces
What the sources say
- Disputedcites [39] Nativi, S., Mazzetti, P., and Craglia, M. (2021). Digital Ecosystems for Developing Digital Twins of the Earth: The Destination Earth Case. Remote Sens., 13. sourceExperimental — accuracy not yet measured
Split into 2 atoms — 0 confirmed, 1 partially supported, 1 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Checked by a reasoning model — may be wrong.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Disputed
Some cited sources support this claim and some don’t — read each source’s verdict below.
In the paper
“Other literature reviews such as [9,13,62,84] focus on presenting the DT architecture, definitions, concepts and benefits while others, such as [15][16][17][18], focus on the technical aspect of the DT technology and explore the trending technologies for a solid DT implementation.”
§ remote sensing > 5.3. Contribution Benefits and Implications
What the sources say
- Not matchedcites [9] Campos-Ferreira, A., Lozoya-Santos, J.J., Vargas-Martínez, A., Mendoza, R., and Morales-Menéndez, R. (2019). Digital Twin Applications: A review. Memorias del Congreso Nacional de Control Automático, Asociación de México de Control Automático.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Supportedcites [13] Juarez, 2021, Digital Twins: Review and Challenges, J. Comput. Inf. Sci. Eng. source
The Introduction describes the paper as a literature-based overview of digital-twin concepts, functioning and characteristics. Section 2.1 reviews definitions, Section 4.3.2 discusses architecture, and Section 5.4 discusses benefits. The paper also covers technical trends, but that does not undermine the citing sentence’s characterization of this review. (LLM, conf=0.86)
- Disputedcites [62] Singh, 2021, Advancing digital twin implementation: A toolbox for modelling and simulation, Procedia CIRP sourceExperimental — accuracy not yet measured
The Introduction (Section 1) says the paper gives special attention to modelling and simulation, and the Conclusion (Section 5) identifies its contribution as a methodology and toolbox for improving those aspects of digital twins. Although it presents a DT architecture, its stated focus is not a literature review of architecture, definitions, concepts and benefits. (LLM, conf=0.86)
Checked by a reasoning model — may be wrong.
- Not checked — no full text of the sourcecites [84] Harper, 2019, Digital Twin Architecture and Standards, Ind. Internet Consort. J. Innov. source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Not matched
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“this work incorporates three studies [24][25][26] of smart city DT concepts being developed in China, which presents the highest frequency of all countries.”
§ remote sensing > 3.1. Smart Cities and Urban Spaces
What the sources say
- Not checked — no full text of the sourcecites [24] Zhou, 2019, Digital Twin Framework and Its Application to Power Grid Online Analysis, CSSE J. Power Energy Syst. source
- Partly supportedcites [25] Haiyuan, Y., Dachuan, W., Mengcha, S., and Qi, Y. (2021). Application of Digital Twins in Port System. J. Phys. Conf. Ser., 1846. sourceExperimental — accuracy not yet measured
The Introduction describes a digital-twin approach to port development in the context of Chinese government management, and the Conclusion discusses smart-port construction. That supports identifying this as a study of a Chinese smart-infrastructure application, but the paper addresses ports rather than smart-city digital-twin concepts. The count of three studies and China's rank are the citing review's own findings, not findings attributed to this individual source. (LLM, conf=0.83)
- Supportedcites [26] Ghandar, 2021, A Decision Support System for Urban Agriculture Using Digital Twin: A Case Study With Aquaponics, IEEE Access source
The paper describes a digital-twin approach to city-wide urban agriculture and reports experiments using data from Shenzhen, China (VOLUME 9, 2021; Experimental Results). It therefore supports its identification as one of the cited studies concerning a DT concept in China. The count of three studies and China's highest frequency describe the citing review's own selection, not a finding attributed to this individual paper. (LLM, conf=0.88)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In this initiative, information is used to study the set of natural and social phenomena that characterize the Earth system, a class of entities encompassing the local and global changes affecting the natural cycles, the deep under-surface processes and the interconnections with human society [39].”
§ remote sensing > 3.1. Smart Cities and Urban Spaces
What the sources say
- Partly supportedcites [39] Nativi, S., Mazzetti, P., and Craglia, M. (2021). Digital Ecosystems for Developing Digital Twins of the Earth: The Destination Earth Case. Remote Sens., 13. sourceExperimental — accuracy not yet measured
Section 1.3 describes the natural and social phenomena in the claim, including natural cycles, deep under-surface processes, and connections with human society. But it assigns the aim of studying them to Big Earth Data science, not specifically to Destination Earth. Section 2 describes Destination Earth as using natural and socio-economic information to develop digital twins of aspects of the Earth system; it does not explicitly assign the full study scope to that initiative. (LLM, conf=0.86)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“By aggregating smart capabilities, the PDT is able to process the information being monitored from the physical counterpart and generate actionable data that can be used for design optimization, maintenance strategy generation and drawing conclusions from a product's performance [12].”
§ remote sensing > Digital twin instance (DTI):
What the sources say
- Partly supportedcites [12] Sharma, A., Kosasih, E., Zhang, J., Brintrup, A., and Calinescu, A. (2021). Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions. arXiv. sourceExperimental — accuracy not yet measured
The Introduction describes digital twins as combining real-time monitoring, analytics and optimisation. Section 4.2 reports that they merge physical and real-time data to provide trends, optimisation and maintenance strategy. The cited paper does not identify a distinct “performance digital twin” (PDT) or explicitly describe drawing conclusions from a product’s performance, so it supports the sentence’s general capabilities but not all of its specificity. (LLM, conf=0.84)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In accordance with DT characteristics, the DTP is able to simulate manufacturing scenarios and perform validation testing, evaluation and even quality control testing prior to the actual manufacturing process itself.This approach effectively reduces production costs and operational time by identifying flaws or possible risks of the physical twin before production.”
§ remote sensing > Digital twin instance (DTI):
What the sources say
- Partly supportedcites [10] Singh, M., Fuenmayor, E., Hinchy, E.P., Qiao, Y., Murray, N., and Devine, D. (2021). Digital Twin: Origin to Future. Appl. Syst. Innov., 4. sourceExperimental — accuracy not yet measured
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
- Not checked — no full text of the sourcecites [11] Dahmen, U., and Rossmann, J. (2018, January 1–3). Experimentable Digital Twins for a Modeling and Simulation-based Engineering Approach. Proceedings of the 2018 IEEE International Systems Engineering Symposium (ISSE), Rome, Italy. source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“However, the modern state of the art classifies and defines DTs based on the application domain [10] and their levels of integration.”
§ remote sensing > 2.5. The Digital Twin Architecture
What the sources say
- Supportedcites [10] Singh, M., Fuenmayor, E., Hinchy, E.P., Qiao, Y., Murray, N., and Devine, D. (2021). Digital Twin: Origin to Future. Appl. Syst. Innov., 4. source
Section 3.3 states that digital twins can be classified by their applications and level of integration. Sections 3.3.2 and 3.3.3 describe those two classification criteria, supporting the paraphrase. (LLM, conf=0.91)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“City-scale DTs are used to improve the quality of life, mobility and services of the citizens [22] in such a way that technological advances are people-centered and improve the quality of life of citizens rather than achieve economic efficiency [23].”
§ remote sensing > 3.1. Smart Cities and Urban Spaces
What the sources say
- Not checked — no full text of the sourcecites [22] Wright, 2020, How to tell the difference between a model and a digital twin, Adv. Model. Simul. Eng. Sci. source
- Supportedcites [23] Dembski, F., Wossner, U., Letzgus, M., Ruddat, M., and Yamu, C. (2020). Urban Digital Twins for Smart Cities and Citizens: The Case Study of Herrenberg, Germany. Sustainability, 12. source
The citation [23] attaches to the people-centered clause. In §2, “Background: The Smart(er) City,” the authors explicitly advocate that technical innovations improve inhabitants’ quality of life rather than prioritize process or economic efficiency. (LLM, conf=0.94)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Although not explicitly related to DTs, this standardization approach is key for the widespread implementation of DTs.”
§ remote sensing > 3.1.2. Building Information Models
What the sources say
- Partly supportedcites [29] Tagliabue, L., Cecconi, F., Maltese, S., Rinaldi, S., Ciribini, A., and Flammini, A. (2021). Leveraging Digital Twin for Sustainability Assessment of an Educational Building. Sustainability, 13. sourceExperimental — accuracy not yet measured
Section 3.1 says the authors made the eLUX digital-twin creation process as compliant with ISO 19650-3 as possible. It does not say that this standardization approach is key to widespread digital-twin implementation or explicitly characterize the standard as unrelated to digital twins. (LLM, conf=0.82)
- Not matchedcites [47] International Organization for Standardization (2020). ISO 19650-3:2020. Int. Stand. Civ. Eng., 10, Available online: https://www.iso.org/standard/75109.html.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“The study relied on surveys with industry experts to focus on the lifecycle applicability and the integration of the CDT model in practice.”
§ remote sensing > 3.1.2. Building Information Models
What the sources say
- Supportedcites [45] Yitmen, I., Alizadehsalehi, S., Akiner, I., and Akiner, M. (2021). An Adapted Model of Cognitive Digital Twins for Building Lifecycle Management. Appl. Sci., 11. source
Section 4, “Evaluation of the Proposed CDTsBLM Model,” says the authors distributed a digital survey to industry professionals to assess the model’s effectiveness in practice. It identifies the survey’s core theme as the lifecycle applicability and integration of CDTs with existing building lifecycle management practices. (LLM, conf=0.93)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“The challenge of running the DT in real time is not only related to the need for re-running the optimization algorithm, but to the migration of the DT from one edge server to another [68].”
§ remote sensing > 3.4. Engineering
What the sources say
- Partly supportedcites [68] Chukhno, O., Chukhno, N., Araniti, G., Campolo, C., Iera, A., and Molinaro, A. (2020). Optimal Placement of Social Digital Twins in Edge IoT Networks. Sensors, 20. sourceExperimental — accuracy not yet measured
The Conclusions and Future Works section says that real-time replacement of social digital twins can require both rerunning the optimization algorithm and migrating a twin between edge servers. The citing sentence broadens this from the specific challenge of real-time replacement to running a digital twin in real time generally. (LLM, conf=0.83)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Another challenge is related to the complexity of urban planning in megacities [50] which significantly delays all freight and logistics operations-see the example of Seattle where freight vehicles spend 28% of their trip time finding available parking.”
§ remote sensing > 3.2. Freight Logistics
What the sources say
- Partly supportedcites [50] Pan, 2021, Smart city for sustainable urban freight logistics, Int. J. Prod. Res. sourceExperimental — accuracy not yet measured
Section 2.1, “Megacities and urban planning,” says growing freight demand will make logistics harder to manage and reports that cruising for parking took an average of 28% of trip time for commercial vehicles in downtown Seattle. It does not say urban-planning complexity significantly delays all freight and logistics operations, and the Seattle figure is specific to downtown commercial vehicles. (LLM, conf=0.88)
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Another one is that humans, if seen as models, are not independent from one another.Factors such as genetics, heredity and even culture might play a role in determining differences in specific human features [51].”
§ remote sensing > 3.3. Medicine
What the sources say
- Partly supportedcites [51] Shengli, 2021, Is Human Digital Twin possible?, Comput. Methods Programs Biomed. Update sourceExperimental — accuracy not yet measured
Sections 4.2–4.3 say relatives share inherited genes and that people with consanguinity may have similar characteristics; section 5.2 says human digital twin models must account for heredity and variation. The paper also discusses social and environmental influences, but our copy does not specifically say that culture determines differences in human features. (LLM, conf=0.83)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“The authors of [44] have proposed a DT evaluation of net-zero energy building (NZEB) for existing buildings; the approach is to combine a novel hierarchy flow chart with a BIM which is then used to thoroughly visualize each option, promote collaboration among stakeholders and accurately estimate associated costs and associated technical issues encountered while producing an NZEB in a predetermined”
§ remote sensing > 3.1.2. Building Information Models
What the sources say
- Supportedcites [44] Sakdirat, K., Rungskunroch, P., and Welsh, J. (2019). A Digital-Twin Evaluation of Net Zero Energy Building for Existing Buildings. Sustainability, 11. source
Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Other authors [29] have started to use DTs to conduct a sustainability assessment of an educational building in combination with an IoT-enabled dynamic approach.This is one of the few approaches to date that has shifted towards a maturity level of 3 by real-time data integration with the physical DT model of the building.”
§ remote sensing > 3.1.2. Building Information Models
What the sources say
- Partly supportedcites [29] Tagliabue, L., Cecconi, F., Maltese, S., Rinaldi, S., Ciribini, A., and Flammini, A. (2021). Leveraging Digital Twin for Sustainability Assessment of an Educational Building. Sustainability, 13. sourceExperimental — accuracy not yet measured
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“DTs have been identified as enablers for further optimization of the efficiency and reliability of electric vehicles (EVs).”
§ remote sensing > Electric Vehicles
What the sources say
- Supportedcites [71] Van Mierlo, J., Berecibar, M., El Baghdadi, M., De Cauwer, C., Messagie, M., Coosemans, T., Jacobs, V., and Hegazy, O. (2021). Beyond the State of the Art of Electric Vehicles: A Fact-Based Paper of the Current and Prospective Electric Vehicle Technologies. World Electr. Veh. J., 12. source
The Conclusions state directly that digital twins will enable further optimisation of EV efficiency and reliability. The citing sentence accurately paraphrases that prospective claim. (LLM, conf=0.95)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Furthermore, the DTs may generate actionable intelligence necessary for addressing global challenges, facilitating sustainable transitions and contributing to realizing the United Nations Sustainable Development Goal (SDG) agenda [39].”
§ remote sensing > 5.2. Digital Twin Challenges in Latin America
What the sources say
- Supportedcites [39] Nativi, S., Mazzetti, P., and Craglia, M. (2021). Digital Ecosystems for Developing Digital Twins of the Earth: The Destination Earth Case. Remote Sens., 13. source
The Discussion and Conclusions section says that datafication generates actionable intelligence for work on global change and sustainable development, and that this approach can leverage Digital Twins of the Earth. It also describes a framework supporting those twins for implementation of the SDG agenda. This supports the citing sentence’s qualified claim that digital twins may contribute to those aims. (LLM, conf=0.88)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Rests on an assumption: The reviewed literature is sufficiently comprehensive to identify the main challenges common to all domains.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“However, applications in Latin America offer significant opportunities for environmental and sustainable development [27].”
§ remote sensing > 5.2. Digital Twin Challenges in Latin America
What the sources say
- Partly supportedcites [27] Guevara, 2019, Towards the design and implementation of a Smart City in Bogotá, Colombia, Rev. Fac. DeIng. Univ. Antioq. sourceExperimental — accuracy not yet measured
The Environment section says smart-city development offers environmental opportunities and requires an approach to sustainable development; the paper also describes projects in Bogotá, Colombia. It does not assess applications across Latin America, so the regional scope of the claim goes beyond the evidence in our copy (page not specified). (LLM, conf=0.83)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: The reviewed literature is sufficiently comprehensive to identify the main challenges common to all domains.
- Partly supported
None of the sources cited for this claim have been checked yet.
In the paper
“In the literature to date, the majority of DT concepts are at levels 0-3 of maturity, and few have started the integration with real-time data streams”
§ remote sensing > 2.8. Maturity Spectrum
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“On-demand delivery methods such as AmazonPrime, Deliveroo, Uber Eats, etc. are gaining significant momentum, leading to an increase in on-demand personal trips around cities; the complexity of modeling all this behavior currently represents a unique challenge.”
§ remote sensing > 3.1. Smart Cities and Urban Spaces
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The 3D simulation modeling with the time component is the preferred approach to date due to the availability of running multiple what-if scenarios powered by real data sets.”
§ remote sensing > 2.8. Maturity Spectrum
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The total number of publications was 115, and after filtering the highly ranked studies, 84 references were obtained for presentation in this review; moreover, we selected a smaller set of 18 more recent (2019-present) studies that were analyzed in depth and used for a comparative analysis that presents more insights on the trending enabling technologies used in the current applications of DT-base”
§ remote sensing > 2.3. Selection
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Hence, the practical implementation of DTs faces obstacles such as real-time communication, complexity, accuracy, integration and structural foundations.”
§ remote sensing > 3.4. Engineering
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Each domain demands specific tools for development, but the most common are GIS modeling, ANSYS, ML data processing, big data, GPS/LIDAR sensors and IoT communication using various interfaces.”
§ remote sensing > 4. Results and Findings on Enabling Technologies
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The 18 studies selected for final comparison are representative of digital twin implementation across the reviewed domains.
- Rests on an assumption: The assigned TRL, SRL and maturity spectrum levels accurately characterize each study's development stage.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“All domains present advanced and mature implementations with most of them classified at level 3 of the maturity spectrum (where models are enriched with real-time and static data).”
§ remote sensing > 4. Results and Findings on Enabling Technologies
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The 18 studies selected for final comparison are representative of digital twin implementation across the reviewed domains.
- Rests on an assumption: The assigned TRL, SRL and maturity spectrum levels accurately characterize each study's development stage.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The findings in Table 2 show that some technologies such as ML, big data, remote sensing, IoT and cloud computing are common across all domains and are therefore the most relevant when it comes to DT implementation in general.”
§ remote sensing > 4. Results and Findings on Enabling Technologies
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The 18 studies selected for final comparison are representative of digital twin implementation across the reviewed domains.
- Rests on an assumption: The assigned TRL, SRL and maturity spectrum levels accurately characterize each study's development stage.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As presented in Table 2, most applications lie in the early stages of DT development and levels of these evaluation methods, indicating the infancy stage of DT implementations and the large gap to fill.”
§ remote sensing > 4. Results and Findings on Enabling Technologies
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The 18 studies selected for final comparison are representative of digital twin implementation across the reviewed domains.
- Rests on an assumption: The assigned TRL, SRL and maturity spectrum levels accurately characterize each study's development stage.
In the paper
“According to the literature, around 18% of engineering applications of DTs focus on design, approximately 35% on production areas, 38% on prognostics and health management (PHM) and 9% on other areas [59].”
§ remote sensing > 3.4. Engineering
What the sources say
- Not checked — no full text of the sourcecites [59] Tao, 2018, Digital Twin in Industry: State-of-the-Art, IEEE Access source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“For instance, some key features, such as realtime monitoring, predictive analysis or edge/cloud computing, will differ in terms of relevance but the main concept and basic architecture of the DT are still prevalent across all domains.”
§ remote sensing > 6. Conclusions
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In the different domains presented in this work, their respective concepts of DTs have different focuses and needs.”
§ remote sensing > 6. Conclusions
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Table 2 includes advanced applications of DTs, but more work needs to be done to fully enable autonomous, sustainable and accepted DTs in real environments.”
§ remote sensing > 6. Conclusions
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“For instance, some key features, such as realtime monitoring, predictive analysis or edge/cloud computing, will differ in terms of relevance but the main concept and basic architecture of the DT are still prevalent across all domains.”
§ remote sensing > 6. Conclusions
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The emergent use of DT applications across a number of domains is on the rise and, combined with enabling technologies such as big data, ML, advanced modeling, simulation and advanced communication interfaces, it enables insights on their physical twin's operation in a way that is useful and actionable by the designer or the operator.”
§ remote sensing > 6. Conclusions
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“In the experimental setup presented in [32], the DT of the urban space uses information from three sources: citizens, IoT data from smart devices and sensors and 3D and urban mobility data enabled by internet connectivity between the DT and the city's council [32].”
§ remote sensing > 3.1. Smart Cities and Urban Spaces
What the sources say
- Not checked — no full text of the sourcecites [32] White, 2021, A digital twin smart city for citizen feedback, Cities source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Currently, research scientists are being left behind by several industrial leaders which are moving towards detailed simulation modeling without considering the true and powerful research questions about the capability of such systems powered by big data and AI, which represents a significant gap in some cases that needs to be filled.”
§ remote sensing > 3.1. Smart Cities and Urban Spaces
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“For this work, a systematic literature review (SLR) method is employed in accordance with Charles Sturt University guidelines.Higgins et al. in the “Cochrane Handbook for Systematic Reviews of Intervention” [1] define a systematic review as one that “seeks to collate evidence that fits prespecified eligibility criteria in order to answer a specific research question.”
§ remote sensing > 1. Introduction
What the sources say
- Not checked — no full text of the sourcecites [1] Higgins, J.P.T., and Thomas, J. (2021). Cochrane Handbook for Systematic Reviews of Interventions, John Wiley & Sons. Chapter Part 2: Core Methods. source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“We finally selected articles and publications from recent years (2017-present), and from Q1 and Q2 high-ranked journals (as classified by the Scopus journal search engine).”
§ remote sensing > 2.2. Systematic Search of Related Literature
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
In the paper
“However, there is a general framework for the DT architecture which is composed of three main elements: the physical world, the virtual world and the connectivity between the two [9].”
§ remote sensing > 2.5. The Digital Twin Architecture
What the sources say
- Not matchedcites [9] Campos-Ferreira, A., Lozoya-Santos, J.J., Vargas-Martínez, A., Mendoza, R., and Morales-Menéndez, R. (2019). Digital Twin Applications: A review. Memorias del Congreso Nacional de Control Automático, Asociación de México de Control Automático.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In terms of the SRL for this type of DT, considering the interests of all participants and stakeholders and balancing their utility are the bottlenecks and pose a challenge that still needs to be solved.”
§ remote sensing > 3.1. Smart Cities and Urban Spaces
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“The authors in [6] mention that a DT must have a physical counterpart to be determined as such.Without the physical counterpart, it is merely a digital model or a digital functional description [6].”
§ remote sensing > 2.4. Revision and Synthesis
What the sources say
- Not checked — no full text of the sourcecites [6] Biesinger, F., and Weyrich, M. (2019, January 23–26). The Facets of Digital Twins in Production and the Automotive Industry. Proceedings of the 2019 23rd International Conference on Mechatronics Technology (ICMT), Salerno, Italy. source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“However, the main databases used were ResearchGate, MDPI, Science Direct and ProQuest.”
§ remote sensing > 2.2. Systematic Search of Related Literature
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“due to the significant challenge of data gathering, filtering and processing in real time, as well as device malfunctioning and poor calibration which may create anomalies or missing data points.”
§ remote sensing > 2.8. Maturity Spectrum
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Smart city DTs offer a way of gathering and handling data for automated decision making.”
§ remote sensing > 3.1.1. Remote Sensing Technologies
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“One of the most important insights from [5] is related to a classification of several maturity levels for DTs as presented in Table 1, which are agnostic of the industry domain or the technologies used to build the models.”
§ remote sensing > 2.8. Maturity Spectrum
What the sources say
- Not matchedcites [5] Evans, S., Savian, C., Burns, A., and Cooper, C. (2021, October 15). Digital Twins for the Built Environment: An Introduction to the Opportunities, Benefits, Challenges and Risks. Built Environmental News, Available online: https://www.theiet.org/impact-society/sectors/built-environment/built-environment-news/digital-twins-for-the-built-environment/.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Big data-based diagnosis and prognosis will be the mainstream research object, including algorithm design, feature extraction, performance improvement, etc.”
§ remote sensing > 3.1. Smart Cities and Urban Spaces
Strength:plain· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Search criteria: publications with the term “digital twin” in the keywords or in the title.2. Year of publication from 2017 to present.3. Publications were selected from different application industries such as smart cities, freight logistics, medicine, engineering, automotive, etc.”
§ remote sensing > 2.1. Protocol
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
In the paper
“The use of ML and DL techniques has become more relevant as smart cities have become “exciting testbeds for data mining and ML” [32].”
§ remote sensing > 3.1. Smart Cities and Urban Spaces
What the sources say
- Not checked — no full text of the sourcecites [32] White, 2021, A digital twin smart city for citizen feedback, Cities source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Other implementations of DTs as smart city applications can be found in [40] where the authors mention that the latest implementations of smart cities seek to use the information gathered from IoT real-time sensory information to “improve the efficiency, sustainability and security of urban spaces while reducing costs and resource consumption”.”
§ remote sensing > 3.1. Smart Cities and Urban Spaces
What the sources say
- Not matchedcites [40] Lee, S., Jain, S., Zhang, Y., Liu, J., and Son, Y.J. (June, January 30). A Multi-Paradigm Simulation for the Implementation of Digital Twins in Surveillance Applications. Proceedings of the 2020 IISE Annual Conference, New Orleans, LA, USA.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Not matched
In the paper
“On the other hand, the functionality and behavior of a system depends on the correct interaction of modules with a local intelligence [11].”
§ remote sensing > 3.4. Engineering
What the sources say
- Not checked — no full text of the sourcecites [11] Dahmen, U., and Rossmann, J. (2018, January 1–3). Experimentable Digital Twins for a Modeling and Simulation-based Engineering Approach. Proceedings of the 2018 IEEE International Systems Engineering Symposium (ISSE), Rome, Italy. source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This is representative of applications where relevant stakeholders are not identified or consulted, and the potential impact on society and the environment is not well defined.”
§ remote sensing > 4. Results and Findings on Enabling Technologies
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: The 18 studies selected for final comparison are representative of digital twin implementation across the reviewed domains.
- Rests on an assumption: The assigned TRL, SRL and maturity spectrum levels accurately characterize each study's development stage.
In the paper
“Thus, DTs enable companies to make more accurate predictions, rational decisions and informed plans [59].”
§ remote sensing > 3.4. Engineering
What the sources say
- Not checked — no full text of the sourcecites [59] Tao, 2018, Digital Twin in Industry: State-of-the-Art, IEEE Access source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The engineering applications of DTs seek to predict the future behavior and the performance of a physical system (predictive) and build a relevant industrial big data that allow the self-adaptive behavior of the equipment, providing support in the decision-making process (interrogative) [24,60].”
§ remote sensing > 3.4. Engineering
What the sources say
- Not checked — no full text of the sourcecites [24] Zhou, 2019, Digital Twin Framework and Its Application to Power Grid Online Analysis, CSSE J. Power Energy Syst. source
- Not matchedcites [60] Bottani, E., Assunta, C., Murino, T., and Vespoli, S. (2017, January 19–22). From the Cyber-Physical System to the Digital Twin: The process development for behaviour modelling of a Cyber Guided Vehicle in M2M logic. Proceedings of the Conference: XXII Summer School Francesco Turco–Industrial Systems Engineering, Paris, France.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Nonetheless, a robust simulation requires precision, accuracy, data acquisition and synchronization [24].”
§ remote sensing > 3.4. Engineering
What the sources say
- Not checked — no full text of the sourcecites [24] Zhou, 2019, Digital Twin Framework and Its Application to Power Grid Online Analysis, CSSE J. Power Energy Syst. source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Vehicles can be classified as systems-of-systems which adds to the complexity of representing cars in a virtual world.”
§ remote sensing > Electric Vehicles
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Big data sets would need to be monitored closely in terms of accuracy, frequency and the level of agreement amongst all stakeholders.”
§ remote sensing > •
Strength:hedged· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The increase in the amount of sensors needed comes with an added complexity with regard to data connectivity and processing which poses a challenge to reach level 3 in the maturity spectrum from Table 1 (where the digital model needs to be enriched with real-time information).”
§ remote sensing > 3.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The reviewed literature is sufficiently comprehensive to identify the main challenges common to all domains.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The use of urban spaces and human health DTs is aligned with citizen well-being and Sustainable Development Goals which target a framework of sustainability for DT development.”
§ remote sensing > 6. Conclusions
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This suggests a point of improvement when it comes to developing more sustainable and society-centered applications where communities, governments and stakeholders are taken into account.”
§ remote sensing > 5.3. Contribution Benefits and Implications
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This insight leads to a data-driven decision making, which in some domains is the main advantage of DTs.”
§ remote sensing > 6. Conclusions
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although universal standards for this technology still lack widespread adoption, the increasing amount of publications and attention towards DTs is an important step for standardization organizations such as ISO to take DTs into account.”
§ remote sensing > 6. Conclusions
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
- Rests on an assumption: Universal standards for DT technology lack widespread adoption.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Table 2 includes advanced applications of DTs, but more work needs to be done to fully enable autonomous, sustainable and accepted DTs in real environments.”
§ remote sensing > 6. Conclusions
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The emergent use of DT applications across a number of domains is on the rise and, combined with enabling technologies such as big data, ML, advanced modeling, simulation and advanced communication interfaces, it enables insights on their physical twin's operation in a way that is useful and actionable by the designer or the operator.”
§ remote sensing > 6. Conclusions
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“DT technology is still in its early stages and reaching its full potential will require addressing significant limitations and challenges for a modern DT implementation, such as: costs, information complexity and maintenance, a lack of standards and regulations and issues related to cybersecurity and communications.”
§ remote sensing > 6. Conclusions
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
In the paper
“Other literature reviews such as [9,13,62,84] focus on presenting the DT architecture, definitions, concepts and benefits while others, such as [15][16][17][18], focus on the technical aspect of the DT technology and explore the trending technologies for a solid DT implementation.”
§ remote sensing > 5.3. Contribution Benefits and Implications
What the sources say
- Not matchedcites [15][16][17][18]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
In the paper
“With the large amount of data generated and analyzed in DT systems, big data algorithms and the IoT technology are powerful allies that can provide support to a great extent to successful DT implementations [75].”
§ remote sensing > 3.
What the sources say
- Not matchedcites [75] Oracle (2018). Developing Applications with Oracle Internet of Things Cloud Service: Digital Twins. Oracle, Available online: https://docs.oracle.com/en/cloud/paas/iot-cloud/iotgs/oracle-iot-digital-twin-implementation.html.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: The reviewed literature is sufficiently comprehensive to identify the main challenges common to all domains.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Technologies and tools for data processing and analysis will be key enablers for further improvements in DTs.”
§ remote sensing > 6. Conclusions
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
The paper relies on this without support.
The 18 studies selected for final comparison are representative of digital twin implementation across the reviewed domains.
“the final steps of our current work focused on gathering and comparing a small set of studies (18 for this work).”
“These studies were compiled using every criterion in our methodology and are summarized in Table 2, where enabling technology trends, TRL, SRL and maturity levels are presented for each domain.”
The paper relies on this without support.
The assigned TRL, SRL and maturity spectrum levels accurately characterize each study's development stage.
“For evaluating different publications, a TRL, an SRL and a maturity spectrum index (only for implemented applications) were assigned.”
The paper relies on this without support.
The reviewed literature is sufficiently comprehensive to identify the main challenges common to all domains.
“From the reviewed literature, five main challenges that are common for all domains were found in DT technology implementation.”
The paper relies on this without support.
Universal standards for DT technology lack widespread adoption.
“Although universal standards for this technology still lack widespread adoption, the increasing amount of publications and attention towards DTs is an important step for standardization organizations such as ISO to take DTs into account.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“These sectors have recently seen a boom in adopting the DT idea [7,8].”
From Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure (2024) · cites this paper as [7]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Cited ISO-standard reference is a logistics paper
MinorThe text cites [47] for the description of ISO 19650-3:2020, but reference 47 is titled as a paper about a transportation-sector four-corner model.
“This work focuses on the development of the SDT under a green BIM concept that is created in accordance to the International Standardization Organization (ISO) standard ISO 19650-3:2020 [29] which relates to the organization and digitalization of information about buildings and civil engineering works [47].”
“47. Carvalho, A.; Melo, P.; Oliveira, M.; Barros, R. The 4-corner model as a synchromodal and digital twin enabler in the transportation sector.”
Four-corner model is attributed to the wrong reference
MinorThe account attributes the four-corner model to [48], whose listed title concerns urban last-mile logistics. The listed four-corner-model paper is reference 47.
“For example, the authors of [48] produced one real business scenario where a four-corner model solution enables synchromodality across the logistics network of one industry unit and its providers, the DT for the process and the verified gross mass (VGM) formality documents.”
“48. Gutierrez-Franco, E.; Mejia-Argueta, C.; Rabelo, L. Data-Driven Methodology to Support Long-Lasting Logistics and Decision Making for Urban Last-Mile Operations.”
Viral-infection study is attributed to a health-standard reference
MinorThe text identifies [53] as a study simulating viral infections, but reference 53 is titled as a standardized digital-twin framework for health and well-being. The viral-infection paper appears as reference 52.
“In a recent work [53], the description of a DT used to simulate human response to viral infections is presented.”
“53. Laamarti, F.; Badawi, H.; Ding, Y.; Arafsha, F.; Hafidh, B.; El Saddik, A. An ISO/IEEE 11073 Standardized Digital Twin Framework for Health and Well-Being in Smart Cities.”
Citations
Cites
Cochrane Handbook for Systematic Reviews of Interventions
Higgins, J. P. T., Green, S., & Ben Van Den, A. (2020) · International Coaching Psychology Review · doi:10.53841/bpsicpr.2020.15.2.123 · Cited by 5,670
Digital Twin in Industry: State-of-the-Art
Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2873186 · Cited by 4,391
Characterising the Digital Twin: A systematic literature review
Jones, D., Snider, C., Nassehi, A., Yon, J., & Hicks, B. (2020) · CIRP Journal of Manufacturing Science and Technology · doi:10.1016/j.cirpj.2020.02.002 · Cited by 2,422
A Review of the Roles of Digital Twin in CPS-based Production Systems
Negri, E., Fumagalli, L., & Macchi, M. (2017) · Procedia Manufacturing · doi:10.1016/j.promfg.2017.07.198 · Cited by 1,669
Enabling technologies and tools for digital twin
Qi, Q., Tao, F., Hu, T., Anwer, N., Liu, A., Wei, Y., Wang, L., & Nee, A. Y. C. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2019.10.001 · Cited by 1,579
Digital twin: origin to future
Singh, M., Fuenmayor, E., Hinchy, E., Qiao, Y., Murray, N., & Devine, D. (2021) · Applied System Innovation · doi:10.3390/asi4020036 · Cited by 1,038
A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin
Liu, Y., Zhang, L., Yang, Y., Zhou, L., Ren, L., Wang, F., Liu, R., Pang, Z., & Deen, M. J. (2019) · IEEE Access · doi:10.1109/access.2019.2909828 · Cited by 763
Lim, K. Y. H., Zheng, P., & Chen, C.-H. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-019-01512-w · Cited by 700
Urban Digital Twins for Smart Cities and Citizens: The Case Study of Herrenberg, Germany
Dembski, F., Wössner, U., Letzgus, M., Ruddat, M., & Yamu, C. (2020) · Sustainability · doi:10.3390/su12062307 · Cited by 622
Rathore, M. M., Shah, S. A., Shukla, D., Bentafat, E., & Bakiras, S. (2021) · IEEE Access · doi:10.1109/access.2021.3060863 · Cited by 616
Flagged first, then by citations
Research works printed but not linked: 6
- Botin-Sanabria, D.M., Lozoya-Reyes, J.G., Vargas-Maldonado, R.C., Rodríguez-Hernández, K.L., Ramírez-Mendoza, R.A., Ramírez-Moreno, M.A., and Lozoya-Santos, J.J. (2021, January 3–5). Digital Twin for Urban Spaces: An Application. Proceedings of the International Conference on Industrial Engineering and Operations Management, Monterrey, Mexico.
- Quirk, 2020, Digital Twins: Details of Implementation: Part 2, AHRAE J., 62, 20
- Campos-Ferreira, A., Lozoya-Santos, J.J., Vargas-Martínez, A., Mendoza, R., and Morales-Menéndez, R. (2019). Digital Twin Applications: A review. Memorias del Congreso Nacional de Control Automático, Asociación de México de Control Automático.
- Quirk, 2020, Digital twins: Answering the hard questions, ASHRAE J., 62, 22
- Briggs, 2020, Deloitte Tech Trends 2020, Insights, 2020, 1
- Bottani, E., Assunta, C., Murino, T., and Vespoli, S. (2017, January 19–22). From the Cyber-Physical System to the Digital Twin: The process development for behaviour modelling of a Cyber Guided Vehicle in M2M logic. Proceedings of the Conference: XXII Summer School Francesco Turco–Industrial Systems Engineering, Paris, France.
Cited by
Sorted by citations
Items 501–600 of 878
Shawier, A., Gadoue, S. M., & Mehran, K. (2025) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2025.3643364 · Cited by 2
Xue, C., Li, L. C., Liu, J., Su, F., Wu, W., Ma, Z., Xiang, Z., Wu, S., & Qin, Q. (2026) · Digital Twin · doi:10.1080/27525783.2025.2610851 · Cited by 2
Chowdhury, T. A., Gratz‐Kelly, S., Wagner, E., Motzki, P., & Lehser, M. (2026) · Advanced Intelligent Discovery · doi:10.1002/aidi.202500217 · Cited by 2
Zero-plastic: AI-assisted sensing for microplastic assessment
Guterres, B., Flores, E. D. S., Malheiros, M. D. G., Barros, P. A. B., Teixeira, T. A., Dora, C. L., Poersch, L., Junior, W. F. B. W., & Pias, M. R. (2026) · Microplastics and Nanoplastics · doi:10.1186/s43591-026-00180-x · Cited by 4
Ugwu, C. N., Ogenyi, F. C., Ugwu, J. N., & Ugwu, P.-C. O. (2026) · Discover Environment · doi:10.1007/s44274-026-00538-1 · Cited by 3
Opportunities and Gaps in Supply Chain Digital Twin Deployments: A Biopharmaceutical Industry Focus
Charoenwut, P., Kulvatunyou, B., & Wing, S. (2026) · Journal of Computing and Information Science in Engineering · doi:10.1115/1.4071384 · Cited by 2
Medical Digital Twin Technology for Interoperability: Challenges and Opportunities
Alang, T. A. I. T., Lee, Y. Y., Tan, T. X., & Mokhtar, A. M. (2026) · Biomedical Engineering and Computational Biology · doi:10.1177/11795972261431928 · Cited by 3
Hussein, R., Zhang, Z., Lizano-Sánchez, F., Arguedas-Matarrita, C., Cabeza-Rodríguez, M.-Á., Idoyaga, I., Rodríguez-Gil, L., & Orduña, P. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-07319-8_8 · Cited by 2
Moses, P. A., Sharma, S., Sharma, S., & Dahotre, N. B. (2026) · Materials Today Communications · doi:10.1016/j.mtcomm.2026.115253 · Cited by 2
Digital twin (DT) for deep-sea mining: system design, application and sea trial validation
Liu, W. F., Liu, J., Sun, Y., Li, L., Wang, S. Q., Hong, X., Yu, L., Li, Y., Gu, H., Lianjin, J., et al. (2026) · Ocean Engineering · doi:10.1016/j.oceaneng.2026.125853 · Cited by 3
Devarajan, Y., Thandavamoorthy, R., Jain, M. V., Bramaramba, V., Samantaray, S., Anand, A., Vichitra, M., & Mehar, K. (2026) · Energy Conversion and Management X · doi:10.1016/j.ecmx.2026.102010 · Cited by 3
Saci, H., Bougamra, R., Ghoumrassi, N., et al. (2026) · Habitat International · doi:10.1016/j.habitatint.2026.103936 · Cited by 2
Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications
Ozioko, O., Akah, C. G., & Dahiya, R. (2026) · Advanced Materials · doi:10.1002/adma.74369 · Cited by 2
Physically Invertible System Identification for Monitoring System Edges with Unobservability
Yuan, J., & Weng, Y. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-26422-1_16 · Cited by 2
On the Use of Resilience Models as Digital Twins for Operational Support and In-time Decision Making
Irshad, L., & Hulse, D. E. (2023) · AIAA AVIATION Forum · doi:10.2514/6.2023-3559 · Cited by 2
Sequeira, D. Q., Bortoluzzi, S., & Tortato, U. (2023) · Revista SODEBRAS · doi:10.29367/issn.1809-3957.18.2023.210.132 · Cited by 2
Accardo, D., Meschini, S., Boscariol, M., et al. (2023) · Computing in construction · doi:10.35490/ec3.2023.326 · Cited by 2
Digital Twin-Enabled Solutions for Smart City Applications
Pillai, S. V., Purandare, P., & Jain, R. (2023) · Advances in electronic government, digital divide, and regional development book series · doi:10.4018/979-8-3693-0744-1.ch002 · Cited by 2
Challenges in Metaverse Research: An Internet of Things Perspective
Abdelzaher, T., Caesar, M., Mendis, C., Nahrstedt, K., Srivastava, M. B., & Yu, M. (2023) · IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom) · doi:10.1109/metacom57706.2023.00042 · Cited by 3
Frameworks for Standard Cases of Unmanned Aerial Systems in the Construction Industry
Vanderhorst, H. D. R., Suresh, S., Renukappa, S., et al. (2023) · Journal of Legal Affairs and Dispute Resolution in Engineering and Construction · doi:10.1061/jladah.ladr-969 · Cited by 2
RETRACTED: BIM Data Model Based on Multi-Scale Grids in Civil Engineering Buildings
Zhang, H., Li, G., & Pu, M. (2024) · Remote Sensing · doi:10.3390/rs16040690 · Cited by 2
RetractedMethods for aggregating multi‐source heterogeneous data in the IoT based on digital twin technology
Li, M. (2024) · Internet Technology Letters · doi:10.1002/itl2.511 · Cited by 2
Poddar, H., & Ramachandran, V. P. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-1586-6.ch001 · Cited by 2
Disruptive Technologies Through the Lens of Applications in the Automotive Industry
Dreković, E., Teofilović, Ž., & Jovanović, N. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-66268-3_46 · Cited by 2
Liu, Q. A., & McAuley, K. B. (2024) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2024.08.361 · Cited by 2
Research on Model Reduction of AUV Underwater Support Platform Based on Digital Twin
Lu, D., Ning, Y., Wang, J., Du, K., & Song, C. (2024) · Journal of Marine Science and Engineering · doi:10.3390/jmse12091673 · Cited by 2
Smart Fire Digital Twin Scene and Multi-Terminal Collaboration: A Systematic Design
She, M., & Zhao, Y. (2024) · International Conference on Electronics and Sustainable Communication Systems (ICESC) · doi:10.1109/icesc60852.2024.10689859 · Cited by 2
The Seminal Role of Internet of Things in the Digital Transformation of Supply Chain Management
Anurag, A. S., & Johnpaul, M. (2024) · Advances in logistics, operations, and management science book series · doi:10.4018/979-8-3693-4427-9.ch003 · Cited by 2
Digital twin technology fundamentals
Chaiburi, C., & Yingngam, B. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-28884-5.00001-4 · Cited by 3
Shen, X., Devaraja, P., Wagg, D., & Bonney, M. S. (2024) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-3-031-68893-5_2 · Cited by 2
Gupta, S., Iyer, R. S., & Kumar, S. (2024) · Springer eBooks · doi:10.1007/978-3-031-76564-3_2 · Cited by 2
Katsigiannis, M., & Mykoniatis, K. (2024) · Winter Simulation Conference · doi:10.1109/wsc63780.2024.10838980 · Cited by 2
DTL-GNN: Digital Twin Lightweight Method Based on Graph Neural Network
Li, C., Yao, L., Lu, Y., Zhang, S., & Zhang, T. (2025) · Future Internet · doi:10.3390/fi17020065 · Cited by 3
Key Considerations for Developing Cost-Effective and Efficient Future Spaceports
Major, C., Elkamel, M., & Rabelo, L. C. (2025) · AIAA SciTech Forum · doi:10.2514/6.2025-1924 · Cited by 2
Sensors and digital twin for healthcare monitoring frameworks
Kumari, S., Tyagi, A. K., Tiwari, S., & Kulshreshtha, G. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-34174-8.00011-9 · Cited by 2
A system dynamics-based digital twin application for mealworm farming
Taylor, I. W., Koul, S., Araujo, F., & Campbell, B. (2025) · Journal of Simulation · doi:10.1080/17477778.2025.2492682 · Cited by 2
Urban digital twin for resilient urban planning: Opportunities and challenges in the Global South
Pazhuhan, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33333-0.00011-9 · Cited by 4
Algorithm Comparison for Real-Time Indoor Environment Digital Twin using BIM
Xie, H. S., Gandla, S. R., Bhattacharya, M., et al. (2025) · International Symposium on Computer Technology and Information Science (ISCTIS) · doi:10.1109/isctis65944.2025.11065183 · Cited by 2
Research on a virtual-real fusion experimental system for the cutting part of a boom-type roadheader
Zhang, J., Chen, C., Ding, X., Wang, T., Wan, C., & Li, W. (2025) · PLoS ONE · doi:10.1371/journal.pone.0330291 · Cited by 2
Mathematical and Computational Nuclear Oncology
Ryhiner, M., Song, Y., Saboury, B., Glatting, G., Rahmim, A., & Shi, K. (2025) · PET Clinics · doi:10.1016/j.cpet.2025.09.005 · Cited by 4
Human motion capture algorithm for creating digital shadows of the movement process
Obukhov, A. D., Volkov, A. A., Vekhteva, N. A., et al. (2022) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2388/1/012033 · Cited by 2
Role of Digital Twin Technology in Automotive Sectors: An Overview
Raffik, R., Mageshwaran, K., Ashlin Joe, J., et al. (2023) · International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA) · doi:10.1109/icaeca56562.2023.10200510 · Cited by 2
Htet, H., Usman, I., & Anshori, M. Y. (2023) · Business and Finance Journal · doi:10.33086/bfj.v8i1.3662 · Cited by 2
Hallajian, A. J., & Din, Z. U. (2024) · ASCE International Conference on Computing in Civil Engineering (i3CE) · doi:10.1061/9780784485248.091 · Cited by 2
Jin, S., & Deng, F. (2024) · Sustainability · doi:10.3390/su16083407 · Cited by 3
Digital Twins and AI, the Cosmic Revolution in Space Technology
Ambalkar, P. S., Mandhare, P. M., Ninawe, P. P., et al. (2024) · Advances in business information systems and analytics book series · doi:10.4018/979-8-3693-3234-4.ch010 · Cited by 2
Utama, P. H. K., Haq, I. N., Pradipta, J., Putra, A. P., & Leksono, E. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4844249 · Cited by 2
Introduction to Different Simulation Techniques of Digital Twin Development
Sharma, S., & Monga, C. (2024) · doi:10.1002/9781394257003.ch1 · Cited by 2
Blockchain for Edge Association in Digital Twin Empowered 6G Networks
Fancy, C., Anand, M., & Sheeba, T. M. (2024) · Wiley eBooks · doi:10.1002/9781394287420.ch7 · Cited by 3
Ferdous, Z., & Barman, S. C. (2025) · Research Square · doi:10.21203/rs.3.rs-5740831/v1 · Cited by 5
Digital Twins of Hybrid Additive and Subtractive Manufacturing Systems–A Review
Jain, R., Bharat, N., & Bose, P. S. C. (2023) · Lecture notes in mechanical engineering · doi:10.1007/978-981-99-6094-1_18 · Cited by 1
Control of SCARA Robot and Rotary Table in ROS and Gazebo as Part of a Cyber-Physical System
Chikurtev, D., Al-Moghrabi, N., & Chikurteva, A. (2023) · International Conference on Control, Decision and Information Technologies (CoDIT) · doi:10.1109/codit58514.2023.10284442 · Cited by 1
A Review of the Concept, Applications, Risks and Control Strategies for Digital Twin
Farid, F., Bello, A., Jahan, N., & Sultana, R. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-54820-8_21 · Cited by 3
Feasibility study of using digital twins for conceptual design of air-quenching processes
Bi, Z., Mueller, D. W., & Mikkola, A. (2024) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-024-13444-8 · Cited by 1
Низамутдинов, М. М., Martynov, V. V., & Davletova, Z. (2024) · International Russian Smart Industry Conference (SmartIndustryCon) · doi:10.1109/smartindustrycon61328.2024.10515491 · Cited by 1
Okada, N., Toriya, H., Gebretsadik, A., et al. (2024) · Journal of Material Cycles and Waste Management · doi:10.1007/s10163-024-02080-9 · Cited by 1
Khatraty, Y. B., Mellouli, N., Diallo, M. T., et al. (2024) · doi:10.1145/3702636.3703759 · Cited by 1
A Cross Reality Application for a Hydrogen Pipeline Digital Twin
Wang, N., & Maurer, F. (2024) · IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) · doi:10.1109/ismar-adjunct64951.2024.00038 · Cited by 1
Sağlık Hizmetlerinde Çığır Açan Uygulamalar: İnsan Dijital İkizi ile Geleceğe Yolculuk
Özsezer, G., & Mermer, G. (2024) · Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi · doi:10.46413/boneyusbad.1440963 · Cited by 3
Role of IOT in Additive Manufacturing
Dewang, Y., Khan, A. A., Sharma, V., et al. (2024) · Lecture notes in mechanical engineering · doi:10.1007/978-981-97-6016-9_25 · Cited by 1
Digital twins toward smart manufacturing
Can, Ö. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-34174-8.00025-9 · Cited by 1
Integrated Cloud-Twin Synchronization for Supply Chain 5.0
Latha, D. S., & Mokkhamakkul, T. (2025) · EAI Endorsed Transactions on Industrial Networks and Intelligent Systems · doi:10.4108/eetinis.v12i2.8600 · Cited by 1
21st-Century Alienation: From Engineered Humans to Predicted Humans
Chiodo, S. (2025) · SpringerBriefs in philosophy · doi:10.1007/978-3-031-85478-1_2 · Cited by 1
Digital twin for blockchain-enabled intelligent transportation systems in smart cities
Tyagi, A. K., Balogun, B. F., & Tiwari, S. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-27434-3.00006-4 · Cited by 1
Cloud computing and digital twin-based healthcare monitoring frameworks for next generation
Balamurugan, G., Kumari, S., Tyagi, A. K., et al. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-27434-3.00014-3 · Cited by 1
Razzaq, H. A., Mehmood, M., & Khan, F. (2024) · International Multi-Topic Conference · doi:10.1109/inmic64792.2024.11004403 · Cited by 1
Blockchain-Based Built Environment Data Management for Modular Construction
Zhang, Y., Tryfonas, T., Carhart, N., & Eker, A. (2024) · IEEE International Smart Cities Conference (ISC2) · doi:10.1109/isc260477.2024.11004252 · Cited by 1
Secured and Privacy Preserving Data Management System for 6G Network Digital Twin
Sayın, A., Babaei, M., Fuladi, R., & Gülen, U. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-92605-1_37 · Cited by 1
Huraux, T., Lesieur, A., Loubière, V., & Veyrin-Forrer, L. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33333-0.00004-1 · Cited by 2
Hsu, W.-S., Chen, Y., Chen, L.-Y., Kao, W.-C., Wang, T.-C., & Wu, S. (2025) · Progress in Nuclear Energy · doi:10.1016/j.pnucene.2025.105924 · Cited by 1
Dynamic tile‐map generation for crack‐free rendering of large‐scale terrain data
Oh, C., & Lee, A. (2025) · ETRI Journal · doi:10.4218/etrij.2024-0496 · Cited by 1
A System Dynamics-Based Hybrid Digital Twin Model for Driving Green Manufacturing
Fan, S.-L., Tong, H.-G., & Wang, S. (2025) · Syst. · doi:10.3390/systems13080651 · Cited by 2
AI-Driven Intelligent Decision Support System for Digital Twin Industrial Operation
Li, M. (2025) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126625504419 · Cited by 1
Yan, Z., Larsson, T. C., Haoqiang, W., et al. (2025) · Procedia CIRP · doi:10.1016/j.procir.2025.08.121 · Cited by 1
Mihaela-Claudia, A. (2025) · International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) · doi:10.1109/acdsa65407.2025.11166380 · Cited by 1
A reliable and effective authentication mechanism for vehicular digital twin networks
Kumar, V., Hassan, F., Kar, R. N., & Nishad, A. K. (2025) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2025.103601 · Cited by 1
From Smart Cities to Manufacturing: A Comprehensive Study on Digital Twin Applications and Barrier
Pathri, B. P., & Ganduri, K. V. (2025) · Digital twins and applications. · doi:10.1049/dgt2.70014 · Cited by 1
Cao, L., Hu, P., Chen, M., et al. (2025) · Buildings · doi:10.3390/buildings15234228 · Cited by 1
Computer Simulation as a Tool for Cost and CO2 Emission Analysis in Production Process Simulations
Pawlak, S., & Saternus, M. (2025) · Sustainability · doi:10.3390/su172410932 · Cited by 1
MetaGadget: An Accessible Framework for IoT Integration Into Commercial Metaverse Platforms
Kurai, R., Yanagawa, H., Hiroi, Y., & Hiraki, T. (2025) · IEEE Pervasive Computing · doi:10.1109/mprv.2025.3602289 · Cited by 1
MDE for crop representations in smart farming digital twins: a reinforcement learning perspective
Archambault, P., Sahraoui, H. A., & Syriani, E. (2026) · Software & Systems Modeling · doi:10.1007/s10270-025-01349-3 · Cited by 1
Debnath, S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33655-3.00003-1 · Cited by 1
Haghshenas, S. S., Astarita, V., Haghshenas, S. S., Guido, G., & Martino, G. (2025) · International Conference on Control, Decision and Information Technologies (CoDIT) · doi:10.1109/codit66093.2025.11321352 · Cited by 1
Kumar, C. P., Ramu, T. B., Manohari, V., Al-Assaf, K. T., Lakhanpal, S., & Balasubramaniyan, R. (2025) · International Conference on Smart Structures and Systems (ICSSS) · doi:10.1109/icsss66939.2025.11346244 · Cited by 2
Developing the systemic digital twin of an industrial enterprise with Σ
Krob, D., & Rauzy, A. B. (2026) · Digital Twin · doi:10.1080/27525783.2026.2618303 · Cited by 3
Integrated Technology and System for Risk and Safety Management in Smart Construction
Wang, B. (2025) · Transactions on Engineering and Technology Research · doi:10.62051/21dmgk35 · Cited by 1
Walling, B. M., Desens, L., Howard, V., O’Neill, R., Scannell, D., Giammarino, M., Elson, S. B., & Rosen, S. L. (2026) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2026.1715883 · Cited by 1
P, V. S., Suryae, R. R., Rajasimhan, R., et al. (2025) · doi:10.1109/aectsd65988.2025.11410935 · Cited by 1
SimPRIVE: A Simulation Framework for Physical Robot Interaction with Virtual Environments
Nesti, F., D'Amico, G., Marinoni, M., & Buttazzo, G. (2025) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc60802.2025.11423662 · Cited by 2
Hu, G., Tang, L., Lai, Z., Chen, H., Jiang, H., Chang, T., & Zi, Y. (2026) · Journal of Intelligent Material Systems and Structures · doi:10.1177/1045389x261429622 · Cited by 1
Ma, Y., Yang, C., Chen, H., et al. (2026) · Egyptian Informatics Journal · doi:10.1016/j.eij.2026.100940 · Cited by 1
Zhang, Z., Hussein, R., & Orduña, P. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-07319-8_29 · Cited by 1
Impact of Data Collection on Digital Shadow Modeling in Manufacturing: A Digital Twin Approach
Rivera, B., Zehra, F., Zaman, U. K. U., et al. (2026) · Smart and Sustainable Manufacturing Systems · doi:10.1520/ssms20240039 · Cited by 1
IoT and Cloud-based Digital Twin for Smart Classroom
Waheed, N., Wasey, A., Khan, A., et al. (2026) · International Conference on Robotics and Automation in Industry (ICRAI) · doi:10.1109/icrai70912.2026.11551947 · Cited by 1
Digital twins in hospitality and tourism: a theory-informed framework for system-level integration
Bilgihan, A., Huang, A., & Liu, Y. (2026) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-08-2025-0714 · Cited by 3
Reimagining City Life: Key Concepts and Features of Proximity-Oriented Development
Pozoukidou, G., & Plastara, D. (2026) · Footprints of regional science · doi:10.1007/978-3-032-20840-8_3 · Cited by 1
El-Hajj, M. I. (2026) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2026.1871684 · Cited by 2
Bhatt, H., Banduni, N., Bahuguna, R., Singh, R., Gehlot, A., Thakur, A. K., Dogra, S., & Ghubade, A. B. (2026) · Forensic Science International Reports · doi:10.1016/j.fsir.2026.100513 · Cited by 1
Göksoy, A., Yalırsu, H. Y., & Vayvay, Ö. (2023) · Contributions to management science · doi:10.1007/978-3-031-23432-3_7 · Cited by 2
Experience OBSEA: a web-based 3D virtual environment of a seafloor observatory
Llorach, G., Padró, E. M., Fernández, J. D. R., & Garcı́a-Ladona, E. (2023) · MTS/IEEE OCEANS Conference (OCEANS) · doi:10.1109/oceanslimerick52467.2023.10244688 · Cited by 2
Metadata
- Authors
- Botín-Sanabria, D. M., Mihaita, A.-S., Peimbert-García, R. E., Ramírez-Moreno, M. A., Ramírez-Mendoza, R. A., & Lozoya-Santos, J. D. J.
- Affiliations
- Tecnológico de Monterrey (MX)
- Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW 2007, Australia
- Corresponding author
- Lozoya-Santos, Jorge de J.
- ORCID
- Venue
- Remote Sensing
- Publisher
- MDPI AG
- Published
- 2022-03-09
- Volume
- 14
- Issue
- 6
- Pages
- 1335
- ISSN
- 2072-4292 (ISSN-L)
- OpenAlex
- W4220831070
- Cited by
- 878
- References
- 70
- Citations by year
- 2026: 156 · 2025: 254 · 2024: 264 · 2023: 160 · 2022: 43
- FWCI
- 82.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Remote Sensing (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
- Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
- Keywords
- digital twin, implementation barriers, data-driven decision making, product validation, simulation, industrial applications, automotive applications, medical applications, smart cities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-11, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-11 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review