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

ADAPTIVE CONTROL SYSTEMS OF MILLING PROCESS BY CHANGING THE CUTTING PARAMETERS: A REVIEW

Avramova, T., Tsvetanov, T., & Vasilev, T. (2025) · International Journal of Modern Manufacturing Technologies · doi:10.54684/ijmmt.2025.17.1.85 · Cited by 1

Examination of the Utilization of Use Phase Data for PSS Design

Werrel, M., Wagner, M., Klar, M., & Aurich, J. C. (2025) · Procedia CIRP · doi:10.1016/j.procir.2025.08.046 · Cited by 1

A Proxy Re-Encryption Based Trusted Data Sharing Scheme for Digital Twins with Privacy Protection

Wu, J., Gao, H., Chen, Y., Zhang, R., Hu, J., Ye, K., & Yan, X. (2025) · ACM Transactions on the Web · doi:10.1145/3768586 · Cited by 1

Design and Data-Driven Strategic Management Model Based on Digital Twin

Akarsu, O. (2025) · İnsan ve Toplum Bilimleri Araştırmaları Dergisi · doi:10.15869/itobiad.1719467 · Cited by 1

Visualization Real-Time Monitoring Platform for Ultra-Thin Strip Rolling Mills Based on Digital Twin Technology

Zhang, Y., Hu, L., Wang, S., Hu, Y., Ji, C., Zhi, C., Hu, S., & Ma, L. (2025) · Processes · doi:10.3390/pr13124075 · Cited by 1

A model-driven approach to streamline the development of prescriptive services for digital twins

Barriga, A., Barriga, J. A., Portillo, P. A., Lozano-Tello, A., & Clemente, P. J. (2025) · Information and Software Technology · doi:10.1016/j.infsof.2025.108001 · Cited by 1

Digital twin-based energy efficiency optimization of robotic pick-and-place process under uncertain payload

Peng, L., Yao, W., Qi, L., Xu, W., & Liu, J. (2025) · Computers & Industrial Engineering · doi:10.1016/j.cie.2025.111608 · Cited by 1

Innovative Technology for Sustainable Facilities Management in Urban Transportation Infrastructure

Mohammed, A. S., Caesar-Dzunu, O. A. D., & Yaa, T.-B. A. N. (2025) · Advances in engineering research/Advances in Engineering Research · doi:10.2991/978-94-6463-970-4_31 · Cited by 1

DRHAFHNet: Dense resolution high-order attention forward harmonic network-based learning effectiveness of shopfloor employees with digital twin

P., C. M. C., & Raghavendran, V. (2026) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2026.109605 · Cited by 1

Circular Economy & Industry 5.0 – Framework for Integrating Sustainability, Recycling, and Digital Manufacturing

Malik, F., & Haq, M. R. U. (2026) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/26jan1150 · Cited by 1

Laminating Analysis of Digital Twin Drivers and Barriers for Systematic Decision-making, Critical Understanding and Implementation in Manufacturing Industries

Nishad, S. K., Singh, A. K., & Sahu, A. K. (2026) · Global Business Review · doi:10.1177/09721509261420072 · Cited by 1

Dynamic stress monitoring and analysis of cranes based on digital-twin modeling

Yan, G., Yang, X., Zhang, J., Tao, Q., & Li, Y. (2026) · Mechanical sciences · doi:10.5194/ms-17-207-2026 · Cited by 1

Zastosowanie technologii Digital Twin w edukacji zawodowej jako odpowiedź na wyzwania Przemysłu 4.0

Noviello, M. (2026) · Studies of the Industrial Geography Commission of the Polish Geographical Society · doi:10.24917/20801653.401.5 · Cited by 1

Digital twin-based integrated modeling and maintenance framework in the power grid data center scenario

Xiao, M., Cui, S. G., & Wang, L. (2026) · Cyber-Physical Energy Systems · doi:10.1016/j.cpes.2026.01.001 · Cited by 1

Constructed by multiple on-machine inspection: intelligent machining system driven by digital twin

Zhang, Y., Wan, N., Zeng, Z., Li, X., Zheng, Z., Sun, H., & Zhou, X. (2026) · International Journal of Production Research · doi:10.1080/00207543.2026.2651391 · Cited by 1

Multidimensional risk analysis and prediction over digital twins via big data paradigms

Cuzzocrea, A., & Benlaredj, I. (2026) · Information Sciences · doi:10.1016/j.ins.2026.123582 · Cited by 1

Next-Generation Manufacturing Technologies for High-Performance Turbomachinery Blades: Trends, Challenges, and Future Directions

Roșu, R. A., Prisăcariu, E. G., Dumitrescu, O., & Crunțeanu, D. E. (2026) · Eng—Advances in Engineering · doi:10.3390/eng7050225 · Cited by 1

Identifying and characterising uncertainty in digital twin engineering

Tiali, B. E. B., Creff, S., Kallel, A., & Anwer, N. (2026) · Digital Twin · doi:10.1080/27525783.2026.2668886 · Cited by 1

Energy-Oriented Multi-Robot Collaborative Exploration and Mapping for Nuclear Power Plant Operation and Maintenance Based on I-WFD-Gmapping-DT

Wu, T., Zhu, M., Liu, Z., Zhang, X., Chen, F., Zhu, X., Sun, H., Zhang, C., & Wu, J. (2026) · Energies · doi:10.3390/en19102355 · Cited by 1

Institutional pressures and environmental innovations of manufacturing firms in Uganda

Alinda, K., & Wakibi, A. (2026) · Innovation & Management Review · doi:10.1108/inmr-03-2024-0058 · Cited by 1

Autonomous digital twins: foundations, challenges, and future directions

Manzano, W., Neto, V. V. G., Teki̇nerdoğan, B., & Nakagawa, E. Y. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-45573-5.00017-3 · Cited by 1

Urban digital twins for sustainable smart cities: A systematic literature review of UAV-assisted MEC, federated intelligence, and semantic communications

Arsalan, A., Umer, T., Fang, K., & Gadekallu, T. R. (2026) · Computer Science Review · doi:10.1016/j.cosrev.2026.101006 · Cited by 1

Distributed embedded digital twins for real-time coordinated operations: framework and proof-of-concept

Hagen, D., & Østerholt, L. (2026) · European Conference on Modelling and Simulation (ECMS) · doi:10.7148/2026-0267 · Cited by 1

Digital twin use-case prioritisation for sustainability in smart manufacturing: A multi-criteria decision analytics approach

Youssef, A. B., Zeqiri, A., & Mbang, S. (2026) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2026.102553 · Cited by 1

Review of research on the application of artificial intelligence and digital twins for accelerating railway transport flows

Osminin, A. T., Malakhova, T., Сергеевич, Р. А., & Os'minina, I. (2026) · Вестник Ростовского государственного университета путей сообщения · doi:10.46973/0201-727x_2026_1_36 · Cited by 1

Digital Twin-Enabled Intelligent Stability Management in Ultra-Precision Machining

Zhu, T., Lee, C. K. M., To, S., & Yip, L. W. S. (2026) · International Journal of Precision Engineering and Manufacturing-Green Technology · doi:10.1007/s40684-026-00931-4 · Cited by 1

TOWARDS REPRESENTING TRANSITIONAL SPACES: DEVELOPMENTAL DIRECTION FOR INDOORGML ANCHOR NODE

Claridades, A. R. C., Kim, M.-S., Park, S., & Lee, J. (2021) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xlvi-4-w4-2021-11-2021 · Cited by 1

Requirements for an Ontology of Digital Twins.

Barros, C., Salles, R. P., Ogasawara, E., Guizzardi, G., & Porto, F. A. M. (2021) · University of Twente Research Information · Cited by 1

Digital twin-driven cutting tool service

Sun, H., & Yao, Y. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91300-3.00010-3 · Cited by 1

Simulation and Genetic Algorithms to Improve the Performance of an Automated Manufacturing Line

Ruane, P., Walsh, P., & Cosgrove, J. (2022) · Acta Technica Jaurinensis · doi:10.14513/actatechjaur.00668 · Cited by 1

Design for Weapon Live Test Decision Support System Using Digital Twin Architecture

Kim, E.-S., & Ryu, K.-Y. (2022) · Journal of the Korea Institute of Military Science and Technology · doi:10.9766/kimst.2022.25.5.501 · Cited by 1

Cognitive Systems for Energy Efficiency and Thermal Comfort in Smart Buildings

Scarcello, L., & Mastroianni, C. (2022) · Internet of things · doi:10.1007/978-3-031-15160-6_15 · Cited by 1

3D point clouds simplification based on geometric primitives and graph-structured optimization

Guinard, S. A., Daniel, S., & Badard, T. (2022) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr56361.2022.9956643 · Cited by 1

Development of Digital Twin of a Compact Bulk Feeder to Optimise its Functionality

Al-Ashaab, A., Fadilah, N., Djafri, F., Jaini, S. N. K., Fargher, G. P., & Chester, H. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2022.12.249 · Cited by 1

Digital Twin Lifecycle: Core Challenges and Open Issues

Abdoune, F., Nouiri, M., Cardin, O., & Castagna, P. (2023) · Studies in computational intelligence · doi:10.1007/978-3-031-24291-5_13 · Cited by 1

The Workforce Needed to Support Digital Twins in the Global Space Ecosystem

Brunswick, S. (2022) · Advances in civil and industrial engineering book series · doi:10.4018/978-1-6684-3833-6.ch006 · Cited by 1

A Generic Digital Twin Framework for Collaborative Supply Chain Development

Lu, X. B., Wang, W., Li, W., Jing, Y., & Li, X. (2022) · International Conference on Computing and Big Data (ICCBD) · doi:10.1109/iccbd56965.2022.10080555 · Cited by 1

How Does Geometric Algebra Support Digital Twin—A Case Study with the Passive Infrared Sensor Scene

Yin, Y., Pan, B., Zhou, C., Luo, W., Yu, Z., & Yuan, L. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-30923-6_8 · Cited by 1

An Introduction and Characterisation of Non-identical Digital Twins in Manufacturing Systems

Su, S., Hicks, B. J., & Nassehi, A. (2023) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-34821-1_81 · Cited by 1

Joint Modeling of Multi-domain Digital Twins for Lithium Battery Pack

Su, Y., Wu, J., Zhang, X., Lei, S., & Li, Z. (2023) · International Conference on Computer Network, Electronic and Automation (ICCNEA) · doi:10.1109/iccnea60107.2023.00077 · Cited by 1

CLASSIFICAÇÃO E FATORES CONDICIONANTES DOS MOVIMENTOS DE MASSA EM TALUDES DE CORTE NA BR 277 277- BALSA NOVA, PARANÁ

Meneguzzo, I. S., Pontes, H. S., & Ribeiro, A. G. (2023) · Revista SODEBRAS · doi:10.29367/issn.1809-3957.2023.10.214.39 · Cited by 1

A Model-Driven Platform for Engineering Holistic Digital Twins

Lehner, D. (2023) · ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) · doi:10.1109/models-c59198.2023.00045 · Cited by 1

Digital Twin Technology

Guo, S., Han, L., & Guo, Y. (2023) · Springer eBooks · doi:10.1007/978-981-99-9585-1_4 · Cited by 1

Real-Time Monitoring of Glacial Changes Using Artificial Intelligence

Babu, K. T. S., Vijayalakshmi., G., Umadevi, P., Patel, N., & Gopalakrishnan, S. (2023) · International Conference on Computation, Automation and Knowledge Management (ICCAKM) · doi:10.1109/iccakm58659.2023.10449632 · Cited by 1

Implementation of Industry 4.0: Examples from the Serbian Manufacturing Industry

Rajković, T. (2024) · Green and Digital Transition – Challenge or Opportunity · doi:10.18690/um.fov.3.2024.61 · Cited by 1

Construction and Application of Digital Twin in Aluminum Electrolysis

Li, J., Qiang, K., Yang, C., Chen, X., Li, J., & Zhang, H. (2024) · The minerals, metals & materials series · doi:10.1007/978-3-031-50308-5_58 · Cited by 1

Digital Twin-Based Energy-Efficient Trajectory Optimization for Robotic Pick-and-Place Process Under Uncertain Payload

Yao, W., Xu, W., Liu, J., Yang, H., & Zhou, Z. (2024) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-52649-7_12 · Cited by 1

The Twinning Technique of the SyncLMKD Method

Cardoso, F. S., Rohrich, R. F., & de Oliveira, A. S. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-59057-3_27 · Cited by 1

Digital Twin driven Deployment Optimization of Environmental Monitoring Sensors

Chen, S., & Xu, L. (2023) · International Conference on Sensors, Signal and Image Processing (SSIP) · doi:10.1145/3653863.3653871 · Cited by 1

Towards Autonomous Networks-Applying Digital Twin to 5G Xhaul Telecom Equipment Configuration Dynamic Management

Lee, C. L., Lei, Z., & Liao, M.-T. (2024) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms59830.2024.10575516 · Cited by 1

Unveiling the Essence of Digital Twins

Mondal, H., Siddika, S., Nag, A., & Sil, R. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-5893-1.ch001 · Cited by 1

DECEPTWIN: Proactive Security Approach for IoV by Leveraging Deception-based Digital Twins and Blockchain

Iqbal, M., Suhail, S., & Matulevičius, R. (2024) · International Conference on Availability, Reliability and Security (ARES) · doi:10.1145/3664476.3670473 · Cited by 1

Product Customization based on Digital Twin and Cloud Manufacturing within a Decentralized Production System

de Castro, H. C. G. A., Câmara, F., Ávila, P., Ferreira, L., & Cruz-Cunha, M. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.06.431 · Cited by 1

Insights into Risk Management: Leveraging Digital Twins for Ophthalmic Diagnosis

Iliuţă, M.-E., Moisescu, M. A., Pop, E., & Mitulescu, T.-C. (2024) · International Conference on Electronics, Computers and Artificial Intelligence (ECAI) · doi:10.1109/ecai61503.2024.10607468 · Cited by 1

An Evaluation Method for Digital Twin Development Platforms

Monteiro, J., & Barata, J. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-71707-9_36 · Cited by 1

Theoretical Framework for Blockchain Secured Predictive Maintenance Learning Model Using Digital Twin

Vinodha, D., Jenefa, J., Anita, E. A. M., & Babenko, M. G. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-72171-7_6 · Cited by 1

A shop floor modelling and co-simulation approach for online production progress evaluation

Liu, M., Yang, H., Zhang, J., Qin, S., Fu, J., & Ding, G. (2024) · International Conference on Automation and Computing (ICAC) · doi:10.1109/icac61394.2024.10718783 · Cited by 1

From Smart to Intelligent: Energy Conservation Management of Air Conditioner System

Yu, H., Sun, Q., Xu, P., & Xu, X. (2024) · Lecture notes in operations research · doi:10.1007/978-981-97-1949-5_96 · Cited by 1

Digital Twin Technology as Facilitator to Sustainable and Energy-Efficient Ecosystem

Sharma, S., Singh, J., & Rahul, J. (2024) · Advances in intelligent systems and computing · doi:10.1007/978-981-97-6349-8_5 · Cited by 1

Digital Twin Framework for Powertrain Energy Consumption of Fuel Cell Electric Bus

Taha, H. A., & Mammeri, A. (2024) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot62078.2024.10811123 · Cited by 1

[Vision Paper] Digital Twin System – From Frameworks to a Comprehensive System

Hildebrandt, J., Habich, D., & Lehner, W. (2024) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata62323.2024.10825419 · Cited by 1

Demagnetization Prediction Method of Permanent Magnet Synchronous Motor Based on Digital Twin Model

Xu, S., Zhang, Z., Huang, Y., & Han, T. (2024) · China Automation Congress (CAC) · doi:10.1109/cac63892.2024.10865195 · Cited by 1

Comments on mutual authentication schemes for security of digital twins technology

Hassan, F., Kumar, V., Nishad, A. K., Kashyap, J., & Yadav, S. K. (2025) · AIP conference proceedings · doi:10.1063/5.0265154 · Cited by 1

AI: Challenges for contemporary digital education

Cano, C. A. G. (2025) · EthAIca · doi:10.56294/ai2025155 · Cited by 1

Ethical Implications of Digital Twins in Ophthalmology

Iliuţă, M.-E., Trentesaux, D., Moisescu, M. A., & Mitulescu, T.-C. (2025) · Studies in computational intelligence · doi:10.1007/978-3-031-85316-6_7 · Cited by 1

Digital Twin-Based Controller Parameter Tuning for Robotic Joints

Wu, P., Lin, J., Zhang, X., & Chi, Z. (2025) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc65474.2025.11090294 · Cited by 1

Anticipatory Innovation for Strengthening Pandemic Preparedness and Response: Tech Enabled Predictive Pandemic Intelligence for Capability Planning

Michael, E., & Masys, A. J. (2025) · Advanced sciences and technologies for security applications · doi:10.1007/978-3-031-86997-6_9 · Cited by 1

The Implementation of Sipakatau, Sipakainga, Sipakalebbi as Concept of Service by Local Community at Lae Lae Island, Makassar City

Hayati, R., Sasmita, A. S., & Achmadi, N. S. (2025) · Home Journal · doi:10.61141/home.v7i1.610 · Cited by 1

Metaheuristic-Guided Deep Learning for Smart Warehouse Anomaly Detection

Bhimavarapu, U. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-3176-8.ch014 · Cited by 1

Reconciling Urban Mobility and CCAM Digital Twins for Enhanced Integration and Mutual Advancement

Feltus, C., Ferrero, F., Nicolas, D., Viti, F., Castignani, G., Connors, R. D., Khadraoui, D., & Nakao, H. (2026) · Data Science for Transportation · doi:10.1007/s42421-025-00146-0 · Cited by 1

Endüstriyel Süreçlerin Dijitalleştirilmesi için Yol Haritası

İLERİ, Y., & Furat, M. (2020) · European Journal of Science and Technology · doi:10.31590/ejosat.araconf45 · Cited by 1

Measurement Method of Civil Engineering Complexity Structure Based on Logical Equivalent Model

Li, Q., Gong, Y., Zang, J., Zhang, Y., & Sun, Y. (2022) · Mathematical Problems in Engineering · doi:10.1155/2022/6782822 · Cited by 1

Geospatial Information Construction and Usability Evaluation Using Nadir Image and Oblique Image

Park, J. K., & Lee, K.-W. (2022) · Sensors and Materials · doi:10.18494/sam3728 · Cited by 1

On enhancing reconfigurability of I/O connection and access in lEC 61499

Lyu, T., Atmojo, U. D., & Vyatkin, V. V. (2022) · IEEE International Symposium on Industrial Electronics (ISIE) · doi:10.1109/isie51582.2022.9831506 · Cited by 1

Розробка цифрового близнюка наповнення резервуару газовою сумішшю

Garin, V., Tkachenko, D., Shypul, O., Zaklinskyy, S., Tryfonov, O., & Plankovskyy, S. I. (2022) · Aerospace technic and technology · doi:10.32620/aktt.2022.5.03 · Cited by 1

Digital Twins: Modelling Languages Comparison

Wahid, A., Zhu, J., Mauceri, S., Li, L., & Liu, M. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-25891-6_13 · Cited by 1

Recent Development Techniques on Digital Twins for Manufacturing: State of the Art

Gandouzi, G., Belhadj, I., Hammadi, M., Aifaoui, N., & Choley, J. (2022) · IEEE Information Technologies & Smart Industrial Systems (ITSIS) · doi:10.1109/itsis56166.2022.10118420 · Cited by 1

A Maturity Assessment Model for Digital Twin-Value Stream Technology in Greenhouses

Norouzi, H., ElMaraghy, W. H., & ElMaraghy, H. A. (2023) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-34821-1_79 · Cited by 1

Digital Twin - solution in the digital age for improving critical infrastructure resilience to extreme events

Tran, M. Q., Sousa, H. S., Texeira, E., Matos, J. C., & Dang, H. T. (2023) · CRC Press eBooks · doi:10.1201/9781003323020-511 · Cited by 1

Optimalisasi Produksi Warung Makan Menggunakan Model Linear Programming Dengan Metode Simplex

Winursito, Y. C., Semnasti, E. A. S., Semnasti, M. C. P. I., & Semnasti, A. K. S. (2023) · WALUYO JATMIKO PROCEEDING · doi:10.33005/wj.v16i1.30 · Cited by 2

Foundations of Blockchain and Digital Twins

Ravi Prakash, B., & Mohamadi Begum, Y. (2024) · Advances in finance, accounting, and economics book series · doi:10.4018/979-8-3693-1878-2.ch002 · Cited by 1

Digital Twin - an Exploratory Study on its Opportunities and Challenges from a Supply Chain Perspective

Sandén, E., & Falk, J. (2021) · Lund University Publications Student Papers (Lund University) · Cited by 1

Tecnologias digitais aplicadas na gestão do corte florestal com harvester

Silva, A. A. (2021) · doi:10.47328/ufvbbt.2021.188 · Cited by 1

Fault Tolerance in CPS

Pascucci, F. (2021) · Springer eBooks · doi:10.1007/978-3-642-27739-9_1724-1 · Cited by 1

Design of Intelligent and Connected Vehicle Driving System Based on Digital TwinPreprint

Zhang, H., Zheng, Z., & Yu, H. (2022) · Research Square · doi:10.21203/rs.3.rs-1849997/v1 · Cited by 1

Potentials and Challenges of Digital Twin: Toward Industry 4.0

Baranidharan, M., Kalel, D., & Singh, R. R. (2022) · Wiley eBooks · doi:10.1002/9781119872061.ch6 · Cited by 1

Editorial: Advances and applications of geospatial modeling and analysis in digital twins

Luo, W., & Zhang, G. (2023) · Frontiers in Earth Science · doi:10.3389/feart.2023.1226466 · Cited by 1

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.v1 · Cited by 1

BASIC TECHNOLOGIES AND MODELS FOR IMPLEMENTATION OF INDUSTRY 4.0

(2023) · doi:10.5644/pi2023.209.00 · Cited by 1

Digital Twin Based Framework to Design, Commission, and Operate Human-Robot Collaborative Assembly SystemsPreprint

Malik, A. A., Masood, T., & Brem, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4781837 · Cited by 1

Sensor- and Data-Supported Sustainable Manufacturing

Fleischer, J., Hansjosten, M., Sawodny, J., Puchta, A., & Gönnheimer, P. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-90386-8.00128-5 · Cited by 1

Efficient IoT Solutions for Remote Health Monitoring

Vijayakumar, S., Hameed, N. S., Tiwari, K. S., Sundarraj, A. A., Gopinath, N., & Buckingham, L. R. (2025) · Wiley eBooks · doi:10.1002/9781394305490.ch12 · Cited by 1

Role of AI and Digital Twin for Smart Transportation

Ritesh Gangasingh, B. A. I. S., KUMAR, V., Joshi, M. C., SHARMA, J., BORKAR, P., & Hossain, M. A. (2025) · Wiley eBooks · doi:10.1002/9781394411337.ch7 · Cited by 1

Digital twin is revolutionising manufacturing industry

Tao, F., & Qi, Q. (2025) · Digital Twin · doi:10.1080/27525783.2026.2620942 · Cited by 1

3D Point Cloud-Based Tree Canopy Visualization for a Smart Deployment of Mobile Communication Systems

Egi, Y., & Eyceyurt, E. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.96179

Fibre Bragg Grating (FBG)-based force and pose sensing for endoscopic robotic systems

Lai, W. (2021) · doi:10.32657/10356/150542

Digital Twin and Ecological Transition Integration in Training Process

Pernelle, P., Carron, T., Talbot, S., & Wayntal, D. (2021) · International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) · doi:10.1109/iceccme52200.2021.9591099

Digital Twin An Aid To Sustainability: “The Samba” Case

Aura, C. (2021) · The European Proceedings of Social & Behavioural Sciences · doi:10.15405/epsbs.2021.12.04.1

Toward Smart Public Lighting of Future Cities

Mohammadzadeh, M., & Phung, S. (2022) · Springer eBooks · doi:10.1007/978-3-030-51812-7_107-1

Digital Twin of a Data Center at an Educational Institution

Mutawa, A. M., & Tolba, A. S. (2022) · Journal of Engineering Research · doi:10.36909/jer.15973

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