Enabling technologies and tools for digital twin

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

Digital Twin in manufacturing: A categorical literature review and classification

Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.08.474 · Cited by 3,612

Digital twin-driven product design, manufacturing and service with big data

Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920

The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles

Glaessgen, E., & Stargel, D. (2012) · 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA · doi:10.2514/6.2012-1818 · Cited by 2,404

Data-driven smart manufacturing

Tao, F., Qi, Q., Liu, A., & Kusiak, A. (2018) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2018.01.006 · Cited by 1,934

Deep learning for smart manufacturing: Methods and applications

Wang, J., Ma, Y., Zhang, L., Gao, R. X., & Wu, D. (2018) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2018.01.003 · Cited by 1,740

Digital twin and big data towards smart manufacturing and Industry 4.0: 360 degree comparison

Qi, Q., & Tao, F. (2018) · IEEE Access · doi:10.1109/access.2018.2793265 · Cited by 1,716

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

Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison

Tao, F., Qi, Q., Wang, L., & Nee, A. Y. C. (2019) · Engineering · doi:10.1016/j.eng.2019.01.014 · Cited by 1,589

About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.141 · Cited by 1,474

Exploring the Uncharted Waters

Deep, G., & Verma, J. (2024) · Advances in electronic commerce (AEC) book series/Advances in electronic commerce series · doi:10.4018/979-8-3693-1392-3.ch007 · Cited by 2

Study on intelligent assembly process planning and execution system based on digital twin

Wu, S., Wang, J., Jiang, H., & Xue, W. (2024) · Robotic Intelligence and Automation · doi:10.1108/ria-05-2023-0065 · Cited by 2

Using Petri Nets for Digital Twins Modeling and Deployment: A Power Wheelchair System Case Study

Lagartinho-Oliveira, C., Moutinho, F., & Gomes, L. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-61433-0_20 · Cited by 2

Research on Cauchy Mutation Grasshopper Optimization Algorithm-Based PID Control of the Dual-Drive Feed System

Jiang, T., Lu, H., Liu, Q., Xiao, C., Liu, B., He, J., Hu, M., & Wang, B. (2024) · Mechanisms and machine science · doi:10.1007/978-981-97-0922-9_71 · Cited by 2

A Digital Twin Framework for Industry 4.0/5.0 Technologies

Asranov, M., Aliev, K., Chiabert, P., & Inoyatkhodjaev, J. (2024) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-62578-7_2 · Cited by 2

Campus intelligent decision system based on digital twin

Tang, T., Wu, Y., Sun, S., & Wu, Y. (2024) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd61410.2024.10580139 · Cited by 2

Fluidware Meets Digital Twins

Casadei, R., Fornari, F., Mariani, S., & Savaglio, C. (2024) · Internet of things · doi:10.1007/978-3-031-62146-8_7 · Cited by 2

A Process Model for Deriving Asset Administration Shells for Inter-company Collaboration – A Practical Approach

Segura, A. S., Mediavilla, M. A., Braun, L., Freund, M., Kosel, C., & Rodríguez, M. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-71142-8_16 · Cited by 2

Cybersecurity, digital privacy, and modeling aspects of digital twins

Gourisetti, S. N. G., Sebastian-Cardenas, D. J., Ranade, A., Reid, W., Michael, M., Rene, K., & Cali, Ü. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-14070-9.00003-2 · Cited by 2

An FsQCA and NCA Analysis on the Drivers and Comprehensive Impact Analysis of the Implementation of Digital Twins

Khoo, T. K., Wang, J., Esa, M. B., & Sun, J. (2024) · Journal of Advanced Research in Applied Sciences and Engineering Technology · doi:10.37934/araset.53.2.283298 · Cited by 2

Research on the Digital Twin Polder Area System Driven by Integrating the Xin’anjiang Model and the N‐BEATS Model

Ye, F., Jin, Z., Zhang, P., Xu, D., Lin, L., & Sun, J. Q. (2025) · International Journal of Intelligent Systems · doi:10.1155/int/8899669 · Cited by 2

An Intelligent Digital Twin Streamlines Production Planning in the Context of Custom 3D Workpieces for Powder Coating

Kiener, C., Schwarzer, S., & Zimmermann, S. (2025) · IEEE Access · doi:10.1109/access.2025.3544140 · Cited by 2

Digital Twin Integration using Lingua Franca and FMI for Testing Factory Automation Software

Turco, P., Zanella, E., Valentini, A., Gaiardelli, S., Dall’Ora, N., Lora, M., & Fummi, F. (2024) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon55916.2024.10905305 · Cited by 2

Digital twin modelling of heavy-haul train for longitudinal impulse simulation

Ran, X., Chen, S., Hu, X., Xie, B., & Wang, K. (2025) · Vehicle System Dynamics · doi:10.1080/00423114.2025.2483348 · Cited by 2

Digital Twins in Retail: Optimizing Store Operations and Enhancing Customer Experience

Pala, N. P. N. (2025) · International Journal of Advanced Research in Science Communication and Technology · doi:10.48175/ijarsct-24657 · Cited by 2

Proactive Monitoring of Functional Characteristics of Radio Information Systems Using Risk Analysis Concept

Sazonov, V. V., Bulatov, M. F., Timoshenko, A. V., & Perlov, A. Y. (2025) · Russian Aeronautics · doi:10.3103/s1068799825050010 · Cited by 2

An Adaptive Whole‐Body Control Approach for Dynamic Obstacle Avoidance of Mobile Manipulators for Human‐Centric Smart Manufacturing

Tao, Y., Gao, H., Tan, D., Wan, J., Wang, B., Li, C., & Zheng, P. (2025) · IET Collaborative Intelligent Manufacturing · doi:10.1049/cim2.70031 · Cited by 2

Enhanced Cybersecurity Monitoring in Multi-Plant Flexible Manufacturing Environments

Iannaccone, A., & Nardone, R. (2025) · IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S) · doi:10.1109/dsn-s65789.2025.00027 · Cited by 2

Universal, Bi-directional Real Time Communication Between Real and Digital Twin in an MBSE Environment

Lack, S., Klopfer, R., & Schmid, D. (2025) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-93319-6_16 · Cited by 2

From service to digital twin service

Qi, Q., Tao, F., & Nee, A. Y. C. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91300-3.00006-1 · Cited by 2

Toward a 2D/3D Finite‐Element–Based Digital Shadow for the Approximation of Metrologically Inaccessible Dynamic Fields of State Variables during Heavy Plate Rolling

Nemetz, A. W., Parteder, E., Reimer, P. J., Kaltenbrunner, T., Heise, B., Lekue, J., Gross, T. J., Egger, R., & Zeman, K. (2022) · steel research international · doi:10.1002/srin.202200672 · Cited by 2

Digital Twin in manufacturing. Part II. Case studies in removal and additive machining processes

Grzesik, W. (2023) · Mechanik · doi:10.17814/mechanik.2023.2.4 · Cited by 2

Digital Twin: Is It Hype?

Göksoy, A., Yalırsu, H. Y., & Vayvay, Ö. (2023) · Contributions to management science · doi:10.1007/978-3-031-23432-3_7 · Cited by 2

Reconfigurable Digital Twin Framework for Manufacturing Systems

Cai, H., Wang, H., Rong, Z., Bian, Y., & Chen, X. (2023) · Advances in transdisciplinary engineering · doi:10.3233/atde230070 · Cited by 2

Leveraging epoch‐era analysis and digital twin for effective system concept and execution: A CO2$_2$ storage salt‐cave project

Vieira, D. P., Fonseca, Í. A., Nishimoto, K., Assi, G. R. S., Gaspar, H. M., & Rhodes, D. H. (2023) · Systems Engineering · doi:10.1002/sys.21741 · Cited by 2

A tutorial on digital twins for predictive maintenance

Hu, Z. Y., Hu, C. K., & Hu, W. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15476-8.00005-8 · Cited by 2

A taxonomy of built asset information coupling

Davari, S., & Poirier, É. (2024) · Frontiers of Engineering Management · doi:10.1007/s42524-024-0303-7 · Cited by 2

Digital Twin Technology: A Comprehensive Review

Abayadeera, M. R., & Ganegoda, G. U. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24jun425 · Cited by 2

A conceptual framework-based architecture strategy for implementing industry 4.0 enabling technologies in Indian commercial vehicle manufacturing plant

Jena, A., & Patel, S. K. (2024) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2024.2387788 · Cited by 2

Digital Twins in Logistics: Requirements, Application and Potentials

Zarnitz, S., & Straube, F. (2024) · Springer eBooks · doi:10.1007/978-3-658-45670-2_12 · Cited by 2

Optimizing Large-Scale Inorganic Processes: Model-Based Digital Design of RH-DS Apparatus

Szczeblewski, S., Wachowiak, M., & Gębicki, J. (2025) · Processes · doi:10.3390/pr13010077 · Cited by 2

Research on optimization method of coal mine safety investment driven by digital twin-enabled INFO-SVR

Wang, Y., Li, W., Wang, L., Li, R., & Wang, H. (2025) · Process Safety and Environmental Protection · doi:10.1016/j.psep.2025.107345 · Cited by 2

COVID-19 ile İvmelenen Dijitalleşmenin PLM’e Etkileri

FİLİK, A., & Yeşilay, R. B. (2020) · Mühendis ve Makina · doi:10.46399/muhendismakina.853325 · Cited by 2

Holistic Approach to Smart Factory

Monsone, C. R. (2021) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-80847-1_11 · Cited by 2

A Flexible and Adaptable Workflow to Develop and Visualise Industrial Digital Twins

Guidazzoli, A., Imboden, S., Paolo, Z., Luca, D. D., Peruch, E., Pascolo, E., Farroni, F., & Liguori, M. C. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-85607-6_18 · Cited by 2

Human-centric Application in Cyber-Physical System: An Inertial-based Motion Capture and Recognition System

Zhou, H., Wang, L., Wang, B., & Yang, G. (2022) · IEEE International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin51773.2022.9976121 · Cited by 2

Interoperability Assessment Model in Industrial Maintenance According to Digital Twin Concept Based on Multicriteria Decision Support Methods

Helmann, A., Leal, R. P., de Camargo, L. R. G., Tiepolo, L. M., Deschamps, F., & Loures, E. D. F. R. (2023) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-38165-2_7 · Cited by 2

Temporal Prediction Models for Technological Processes Based on Predictive Analytics

Dolgiy, A. I., Kovalev, S., Olgeizer, I., & Sukhanov, A. V. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-43792-2_18 · Cited by 2

Reconstruction Algorithm for Complex Dexel Models Based on Composite Block Partition

Yu, H., Wu, D., & Xu, H. (2023) · Journal of Computing and Information Science in Engineering · doi:10.1115/1.4063955 · Cited by 2

Digital Twin Technology: A Scoping Review of Characterization and Implementation Through Business IT Perspectives

Htet, H., Usman, I., & Anshori, M. Y. (2023) · Business and Finance Journal · doi:10.33086/bfj.v8i1.3662 · Cited by 2

Digital Twin: Background, Challenges, Enabling Technologies, Benefits, and Use Case in the Elevator Industry

Dreković, E., Karabegović, I., & Stojić, N. (2023) · doi:10.5644/pi2023.209.12 · Cited by 2

Functionality and Fault Modeling of a DC Motor with Verilog-AMS

Dall’Ora, N., Vinco, S., & Fummi, F. (2020) · IEEE International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin45582.2020.9442191 · Cited by 2

Application of artificial intelligence technologies in intelligent diagnosis of crude oil pipelines

Lian, J., Zhao, L., Li, Z., & Xie, R. (2022) · International Symposium on Computer Applications and Information Systems (ISCAIS) · doi:10.1117/12.2639551 · Cited by 2

Coastscapes for a Metaverse: From height maps to virtual vegetated environmentsPreprint

Groß, F., Petersen, L., Wallmeier, C., & Karstens, S. (2022) · Research Square · doi:10.21203/rs.3.rs-2225992/v1 · Cited by 2

Toward Smart Public Lighting of Future Cities

Mohammadzadeh, M., & Phung, S. (2022) · Springer eBooks · doi:10.1007/978-3-030-87745-3_107 · Cited by 2

Digital Twins: Shaping the Future of Energy Systems and Smart Cities through Cybersecurity, Efficiency, and SustainabilityPreprint

Dimd, B. D., Cali, Ü., Hajialigol, P., Moazami, A., Gourisetti, S. N. G., Lobaccaro, G., & Aghaei, M. (2023) · doi:10.36227/techrxiv.22731911 · Cited by 2

Cyber Security issues in the industrial applications of digital twinsPreprint

Siddique, S., Haque, M. A., George, R., sujjaee, K., & Gupta, K. D. (2023) · doi:10.36227/techrxiv.23789667 · Cited by 2

Data as a New Productivity Factor: Theory and Evidence from ManufacturingPreprint

Zhang, L. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4862685 · Cited by 2

Advancing Healthcare Diagnostics

Awujoola, O. J., Enem, T. A., Ogwueleka, F. N., Abioye, O. A., & Awujoola, E. A. (2024) · Wiley eBooks · doi:10.1002/9781394287420.ch21 · Cited by 2

Using digital twin in product design and development

Zhong, R. Y., Su, S., & Yu, C. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-28993-4.00040-8 · Cited by 2

HWoDT Framework: A toolchain to build interoperable Digital Twin Ecosystems

Giulianelli, A., Burattini, S., Ciortea, A., & Ricci, A. (2025) · SoftwareX · doi:10.1016/j.softx.2025.102275 · Cited by 2

Digital twin: science or engineering?

Tao, F., Qi, Q., & Grieves, M. W. (2026) · Digital Twin · doi:10.1080/27525783.2026.2641390 · Cited by 2

Digital twins in banking: Problems and prospects

ЛЫТКИН, А. Н. (2023) · Economics and Management · doi:10.35854/1998-1627-2023-6-718-729 · Cited by 1

Development of a Digital Twin for Gas Mixing in a Generator

Shypul, O., Garin, V., Tkachenko, D., Plankovskyy, S. I., & Tryfonov, O. (2023) · Hungarian Journal of Industry and Chemistry · doi:10.33927/hjic-2023-06 · Cited by 1

Application of human-machine interaction in digital twin system of industrial robot

Tao, J., Nor, N. M., & Yiting, F. (2023) · AIP conference proceedings · doi:10.1063/5.0179179 · Cited by 1

Linking Ports’ Digital Twins to Those of Cities

Klar, R., & Angelakis, V. (2023) · IEEE Smart World Congress (SWC) · doi:10.1109/swc57546.2023.10448730 · Cited by 1

Digital Twins of Bridges: Characteristics of a Framework Leading to Practical Implementations

Korus, K., Salamak, M., & Winkler, J. (2024) · ASCE International Conference on Computing in Civil Engineering (i3CE) · doi:10.1061/9780784485231.072 · Cited by 1

A Digital-Twin Assisted Performance Prediction Model for Industrial Gas Turbines

Huang, Q., Gu, X., Shao, J., & Yang, S. (2024) · Mechanisms and machine science · doi:10.1007/978-3-031-49421-5_41 · Cited by 1

AI-Based Surrogate Models of Digital Twins for Industrial Processes

Lwele, E., & Shenfield, A. (2024) · IEEE Industrial Electronics and Applications Conference (IEACon) · doi:10.1109/ieacon61321.2024.10797334 · Cited by 1

Advanced Powertrain Fault Diagnosis for Electric Buses: An IoV Approach

Taha, H. A., Mammeri, A., & Yacout, S. (2024) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot62078.2024.10811251 · Cited by 1

An Innovative Big Data Framework for Supporting Multidimensional Risk Analysis and Prediction over Digital Twins

Cuzzocrea, A., & Benlaredj, I. (2024) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata62323.2024.10825260 · Cited by 1

Towards Digital Twin Integrated Border Control

Tobing, V., Hamzah, M., Chew, J., & Hamdan, M. (2024) · IEEE International Conference on Computing (ICOCO) · doi:10.1109/icoco62848.2024.10928191 · Cited by 1

Leveraging Middleware to Support Digital Twin System Development

Pereira, L. S., Almeida, A., Delicato, F. C., Cavalcante, E., Batista, T., Motta, R. C., & Vieira, M. P. A. (2024) · IEEE Smart World Congress (SWC) · doi:10.1109/swc62898.2024.00319 · Cited by 1

Optimization of monocrystalline silicon photovoltaic module assembly lines based on simulation model

Liu, Y., Xia, X., Zhang, J.-Y., Wang, K., Yu, B., Wu, M., Shi, J., Ma, C., Liu, Y., Hu, B., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0325152 · Cited by 1

A responsive digital twin approach for machining based on biomimetic perception and cognition

Sun, Y., Xu, M., Bao, J., & Liu, S. (2025) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-025-02652-y · Cited by 1

Machine Learning-Based Prediction Model in Digital Twin System of Wind Farm

Yang, H., Jiao, Y., Wang, X., & Luo, X. (2025) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc65474.2025.11090170 · Cited by 1

Integrating Digital Twins and Lean Management for Sustainable Supply Chains in the Age of Industry 5.0: A Conceptual Framework

Alguirat, I., Zouari, A., & Lehyani, F. (2025) · International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA) · doi:10.1109/logistiqua66323.2025.11122832 · Cited by 1

Maturity model for the implementation of digital twins in a brazilian public health unit

Ribeiro, A. D. O., Sabbadini, F. S., Costa, K. A., Hernández, C., Nikoofard, V., & Ribeiro, R. B. (2025) · Research Society and Development · doi:10.33448/rsd-v14i8.49393 · Cited by 1

Research on data-driven and model-driven methods for compensating machine tool feed system transient errors

Lu, H., Yang, K., Zhang, Y., Wang, R., Liu, Q., Li, Z., He, J., Xiao, J., & Shi, X. (2025) · Measurement Science and Technology · doi:10.1088/1361-6501/ae01c9 · Cited by 1

Design Decisions for Architecting Digital Twins of Microservices-Based Systems

Macías, A., Ntentos, E., Zdun, U., & Navarro, E. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-04207-1_29 · Cited by 1

Towards Automating the Life Cycle Management of Digital Twins

Beaumont, G. G., Beugnard, A., Martínez, S., Urtado, C., & Vauttier, S. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-08623-5_22 · Cited by 1

Federated Learning-Driven Digital Twin: A Privacy-Preserving AI Approach for Crisis Logistics

Mouhsine, H. E., Saidi, R., & Cherif, W. (2025) · doi:10.3390/engproc2025112044 · Cited by 1

Next-Generation Condition Monitoring: Digital Twin in RUL Predictive Maintenance for Main Bearings of Semi-Direct Drive

Lv, D., Zhang, C., Zhao, W., & Pang, Y. (2025) · International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM) · doi:10.1109/iceiom65271.2025.11239920 · Cited by 1

Designing a digital twin of an employee

Orlova, E. V. (2025) · Ontology of Designing · doi:10.18287/2223-9537-2025-15-4-471-485 · Cited by 1

Towards Architectural Coordination of Digital Twin Development in Urban Planning

Schnellmann, M., Bjeković, M., Proper, H. A., & Sottet, J.-S. (2025) · Lecture notes in business information processing · doi:10.1007/978-3-032-12063-2_18 · Cited by 1

Users’ well-being in university buildings: towards a research framework development

Gasbarri, P., Meschini, S., Tagliabue, L. C., & Giuda, G. M. D. (2025) · Journal of Physics Conference Series · doi:10.1088/1742-6596/3140/9/092008 · Cited by 1

Emerging perspectives on embodied intelligence in future smart manufacturing

Xia, D., Xu, P., Han, G., & Jiang, J. (2025) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2025.101020 · Cited by 1

Digital Twins in Civil Engineering: A Step Toward Optimized Monitoring of Engineered Landfill

Maurya, R., Kumari, M., & Shukla, S. K. (2026) · Lecture notes in civil engineering · doi:10.1007/978-981-95-0736-8_4 · Cited by 1

An introduction to digital twins and big data analytics

Kabbaj, N., & El-Amin, M. F. (2026) · Elsevier eBooks · doi:10.1016/b978-0-44-326735-2.00015-8 · Cited by 1

Cognitive Digital Twins for Pavement Management: A Comprehensive Review

Daneshvar, A., Golroo, A., Nejad, F. M., Hossein, A. K. M., Hosseini, P., & Rasti, M. (2026) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-026-10503-z · Cited by 1

A method for constructing digital twins of production lines based on an object-oriented distributed model-free adaptive algorithm

Zhang, X., Cheng, Q., Lin, Z., Zhang, Y., Yan, J., Zhang, T., & Liu, Z. (2026) · Applied Soft Computing · doi:10.1016/j.asoc.2026.114857 · Cited by 1

Enhancing preservation of tangible cultural heritage artifacts through digital twin technology and deep learning-based 3D point cloud completion

Zhang, X., Li, L., & He, M. (2026) · Discover Computing · doi:10.1007/s10791-026-10049-5 · Cited by 1

Spatial modelling for bridge construction environment towards geospatial digital twin

Li, W., Zhu, J., Zhang, J., Wu, J., Zhu, Q., & Dehbi, Y. (2026) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2026.105296 · Cited by 1

A critical review on interplay of water-energy-carbon nexus and circular economy in petrochemical industry enabled by digital intelligence

Zhang, H., Tan, Z., Zheng, L., Zhang, B., He, C., Ma, Z., Liu, Z., Liu, Z., & Chen, Q. (2026) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2026.117017 · Cited by 1

Digital Twin-Driven Optimization of Pilot-Scale Polyurethane Aerogel Production Using SVR Modelling

Basdediós, Ó. B., Miguélez-Riádigos, L., Pinilla-Peñalver, E., Alonso, M., Sánchez, P., Sanchez-Silva, L., & Sobreira-Seoane, J. L. (2026) · Gels · doi:10.3390/gels12060483 · Cited by 1

Evaluating digital twin adoption for sustainable supply chains in pharma: a fuzzy MEREC–TOPSIS approach

Rahbar, E., Chenarlogh, A. G., MohammadSalehi, R., & Zanjirchi, S. M. (2026) · Environment Systems & Decisions · doi:10.1007/s10669-026-10097-8 · Cited by 1

Fostering sustainability with digital twins and gamification: a systematic review

Samiepour, M., Barricelli, B. R., & Fogli, D. (2026) · Multimedia Tools and Applications · doi:10.1007/s11042-026-21730-8 · Cited by 1

Digital twin-empowered sustainable remanufacturing of high-value components: a review of intelligent repair strategies

Nandi, S., Mukherjee, M., & Das, S. K. (2026) · Computers & Industrial Engineering · doi:10.1016/j.cie.2026.112251 · Cited by 1

A TLS-Based Framework for the Realization of Digital Twin Basemaps Applied to an Adaptively Reused Heritage Building

Ismail, M. H., Shaker, A., & Li, S. (2026) · Applied Sciences · doi:10.3390/app16168306 · Cited by 1

NEFT-QAZ SƏNAYESİ ÜÇÜN RƏQƏMSAL ƏKİZLƏRİN KONSEPTUAL MODELİ

İmamverdiyev, Y. (2020) · Problems of Information Technology · doi:10.25045/jpit.v11.i2.04 · Cited by 1

Energy modelling and forecasting for an underground agricultural farm using a higher order dynamic mode decomposition approach

Conti, Z. X., Ward, R. M., & Choudhary, R. (2023) · Building Simulation Conference proceedings · doi:10.26868/25222708.2023.1529 · Cited by 1

Food processing and preservation in the Food Industry 4.0 era

Özkan, G., Turgut, S. S., Subaşı, B. G., Çapanoğlu, E., Esatbeyoglu, T., & Feyissa, A. H. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15516-1.00006-2 · Cited by 1

Digital twins and biodiversity: a conceptual framework of opportunities and challenge

Sun, Y., & Xu, C. (2024) · Kybernetes · doi:10.1108/k-04-2024-0892 · Cited by 1

A Methodological Approach to Prioritize Digital Twin Development in Manufacturing

Roman, S. B., & Böttjer, T. (2024) · Applied Stochastic Models in Business and Industry · doi:10.1002/asmb.2889 · Cited by 1

Application of digital twin technology in production process optimization and performance prediction of new energy battery packs

Li, C., Li, Z., Ding, H., Huang, J., & Zhang, H. (2024) · Applied Mathematics and Nonlinear Sciences · doi:10.2478/amns-2024-3464 · Cited by 1

Digital Twin of an Electric Bicycle Using Smartphone Sensors and Weather Data

Haralampous, O. A., & Samaras, N. (2025) · Lecture notes in intelligent transportation and infrastructure · doi:10.1007/978-3-031-82818-8_24 · Cited by 1

A Multiscale Approach to Cyber-Mechanical Threat Modeling for Predicting and Preventing Failures in Critical Energy Infrastructure

Ogunmolu, A. M. (2025) · Journal of Engineering Research and Reports · doi:10.9734/jerr/2025/v27i61523 · Cited by 1

Harmonizing Physical and Digital Twins Lifecycles

Picone, M., Morandi, R., Barbone, A., Burattini, S., Fogli, M., Bicocchi, N., Giannelli, C., & Ricci, A. (2025) · IEEE International Conference on Software Architecture Companion (ICSA-C) · doi:10.1109/icsa-c65153.2025.00039 · Cited by 1

Application of spatial analysis using GIS and digital twins techniques in pavement management: a review

Al-Mistarehi, B. W., Shtayat, A., Moridpour, S., Maabreh, H., Mijwil, M. M., Imam, R., & Al-Omari, A. A. (2025) · Innovative Infrastructure Solutions · doi:10.1007/s41062-025-02108-5 · Cited by 1

The Role of Digital Twins in AI-Driven Enterprise BI: Transforming Scenario Simulation and Strategic Planning

Puppala, A. (2025) · European Journal of Computer Science and Information Technology · doi:10.37745/ejcsit.2013/vol13n4496103 · Cited by 1

Digital twin modeling

Tao, F., Xiao, B., Qi, Q., Cheng, J., & Ji, P. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.06.015 · Cited by 1,255

Digital twin: a state-of-the-art review of its enabling technologies, applications and challenges

Hu, W., Zhang, T., Deng, X., Liu, Z., & Tan, J. (2021) · Journal of Intelligent Manufacturing and Special Equipment · doi:10.1108/jimse-12-2020-010 · Cited by 228

Five-Dimension Digital Twin Modeling and Its Key Technologies

Tao, F., Zhang, M., & Nee, A. (2019) · Digital Twin Driven Smart Manufacturing · doi:10.1016/b978-0-12-817630-6.00003-5 · Cited by 45

Digital Twin: An Investigation of the Characteristics, Visions, Challenges, and Opportunities

El-Douh, A. A.-R., & Abdel-aziem, A. H. (2023) · International journal of advances in applied computational intelligence. · doi:10.54216/ijaaci.040105 · Cited by 1

Digital Twin

Kaur, J., Bhambri, P., & Rani, S. (2024) · CRC Press eBooks · doi:10.1201/9781003395416-6 · Cited by 5