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

The Brain Behind the Grid: A Comprehensive Review on Advanced Control Strategies for Smart Energy Management Systems

Rajendran, G., Raute, R., & Caruana, C. (2025) · Energies · doi:10.3390/en18153963 · Cited by 24

Digital twin technology in AI-operated metaverse for food processing: A pathway to sustainability, efficiency and innovation

İnanlar, B., & Altay, F. (2025) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2025.105491 · Cited by 23

Aircraft composite structures integrated approach: a review

Pogosyan, M. A., Назаров, Е. В., Bolshikh, A., Koroliskii, V., Turbin, N. V., & Shramko, K. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1925/1/012005 · Cited by 22

Research on Wireless Sensor Network Access Control and Load Balancing in the Industrial Digital Twin Scenario

Zhou, W. H. (2022) · Journal of Sensors · doi:10.1155/2022/3929958 · Cited by 22

A digital twin modeling method for production resources of shop floor

Liu, X., Qiu, C., Shi, J., Huang, J., Zhu, C., Ni, Z., Zhu, M., & Liu, T. (2023) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-023-11903-2 · Cited by 22

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

Cali, Ü., Dimd, B. D., Hajialigol, P., Moazami, A., Gourisetti, S. N. G., Lobaccaro, G., & Aghaei, M. (2023) · International Conference on Future Energy Solutions (FES) · doi:10.1109/fes57669.2023.10182868 · Cited by 22

Digital twin-enabled domain adaptation for zero-touch UAV networks: Survey and challenges

McManus, M., Cui, Y., Zhang, J. Z., Hu, J., Moorthy, S. K., Mastronarde, N., Bentley, E. S., Medley, M. J., & Guan, Z. (2023) · Computer Networks · doi:10.1016/j.comnet.2023.110000 · Cited by 24

Unlocking factors of digital twins for smart manufacturing: a case of emerging economy

Gardas, B. B., Gunasekaran, A., & Narwane, V. S. (2023) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2023.2257655 · Cited by 22

Digital Twin Models for Personalised and Predictive Medicine in Ophthalmology

Iliuţă, M.-E., Moisescu, M. A., Caramihai, S. I., Cernian, A. S., Pop, E., Daniel Ioan, C. H. I. S., & Mitulescu, T.-C. (2024) · Technologies · doi:10.3390/technologies12040055 · Cited by 22

Digital Twins in Manufacturing: A Survey of Current Practices and Future Trends

Singh, A. P. A., & Gameti, N. (2024) · International Journal of Science and Research Archive · doi:10.30574/ijsra.2024.13.1.1705 · Cited by 22

A Cognitive Approach to Manage the Complexity of Digital Twin Systems

Lu, J., Zheng, X., Schweiger, L., & Kiritsis, D. (2021) · Progress in IS · doi:10.1007/978-3-030-72090-2_10 · Cited by 22

Requirements and Design Architecture for Digital Twin End-to-End Trustworthiness

Bicocchi, N., Fogli, M., Giannelli, C., Picone, M., & Virdis, A. (2024) · IEEE Internet Computing · doi:10.1109/mic.2024.3376439 · Cited by 21

Parallel simulation and prediction techniques for digital twins in urban underground spaces

Gong, H., Su, D., Zeng, S., & Chen, X. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106212 · Cited by 21

Pursuing Energy Saving and Thermal Comfort With a Human-Driven DRL Approach

Scarcello, L., Cicirelli, F., Guerrieri, A., Mastroianni, C., Spezzano, G., & Vinci, A. (2022) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2022.3216365 · Cited by 21

Digital Twins-Based Smart Monitoring and Optimisation of Mineral Processing Industry

Hasidi, O., Abdelwahed, E. H., Qazdar, A., Boulaamail, A., Krafi, M., Benzakour, I., Bourzeix, F., Baïna, S., Bäına, K., Cherkaoui, M., et al. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-20490-6_33 · Cited by 21

Digital Twin simulation for deep learning framework for predicting solar energy market load in Trade-By-Trade data

You, L., & Zhu, M. (2023) · Solar Energy · doi:10.1016/j.solener.2023.01.004 · Cited by 21

Real-time optimization for a Digital Twin of a robotic cell with human operators

Albini, T., Brocchi, A., Murgia, G., & Pranzo, M. (2023) · Computers in Industry · doi:10.1016/j.compind.2023.103858 · Cited by 21

Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review

Hammerschmid, M., Rosenfeld, D. C., Bartik, A., Benedikt, F., Fuchs, J., & Müller, S. (2023) · Energies · doi:10.3390/en16062641 · Cited by 21

Assessing the Maturity of Digital Twinning Solutions for Ports

Klar, R., Fredriksson, A., & Angelakis, V. (2023) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomworkshops56833.2023.10150378 · Cited by 21

A Cloud-Edge Collaboration Framework for Generating Process Digital Twin

Shen, B., Han, Y., Hu, P., Cai, H., Guo, J., Xu, B., & Jiang, L. (2024) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2024.3362989 · Cited by 21

Advancing digital healthcare engineering for aging ships and offshore structures: an in-depth review and feasibility analysis

Sindi, A., Kim, H. J., Yang, Y. J., Thomas, G. A., & Paik, J. K. (2024) · Data-Centric Engineering · doi:10.1017/dce.2024.14 · Cited by 21

Digital Twin Technology in the Gas Industry: A Comparative Simulation Study

Yun, J., Kim, S., & Kim, J. (2024) · Sustainability · doi:10.3390/su16145864 · Cited by 21

Digital Transformation in the Construction Sector: A Digital Twin for Seismic Safety in the Lifecycle of Buildings

Lauria, M., & Azzalin, M. (2024) · Sustainability · doi:10.3390/su16188245 · Cited by 21

The status quo and future prospects of digital twins for healthcare

Li, T., Shen, Y., Li, Y., Zhang, Y., & Wu, S. (2024) · EngMedicine · doi:10.1016/j.engmed.2024.100042 · Cited by 21

Exploiting Blockchain Technology for Enhancing Digital Twins’ Security and Transparency

Ferone, A., & Verrilli, S. (2025) · Future Internet · doi:10.3390/fi17010031 · Cited by 21

Towards a DevOps Approach in Cyber Physical Production Systems Using Digital Twins

Ugarte, M., Etxeberria, L., & Sagardui, G. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-55583-2_15 · Cited by 21

A Design of Digital Twins for Supporting Decision-Making in Production Logistics

Jeong, Y., Flores-García, E., & Wiktorsson, M. (2020) · Winter Simulation Conference · doi:10.1109/wsc48552.2020.9383863 · Cited by 21

Integration of data science with product design towards data-driven design

Liu, A., Lu, S. C.-Y., Tao, F., & Anwer, N. (2024) · CIRP Annals · doi:10.1016/j.cirp.2024.06.003 · Cited by 21

How does artificial intelligence capacity enhance the production system resilience and operational performance? A human-organization-technology fit perspective

Wang, J., Shi, Y., Jiang, X., & Venkatesh, V. G. (2025) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2025.103023 · Cited by 20

The development of a digital twin concept system

Duan, H., Gao, S., Yang, X., & Li, Y. (2022) · Digital Twin · doi:10.12688/digitaltwin.17599.1 · Cited by 20

A Taxonomy of Security and Defense Mechanisms in Digital Twins-based Cyber-Physical Systems

Hussaini, A., Qian, C., Liao, W., & Yu, W. (2022) · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · doi:10.1109/ithings-greencom-cpscom-smartdata-cybermatics55523.2022.00112 · Cited by 20

A new meshless approach for marine power component modelling using digital twin reduced-order technique

Zheng, J., Jiang, D., Jia, X., Wang, C., Zhang, Q., Brumerčík, F., & Li, Z. (2023) · Engineering Analysis with Boundary Elements · doi:10.1016/j.enganabound.2023.05.027 · Cited by 20

Digital twin enhanced fault diagnosis reasoning for autoclave

Wang, Y., Tao, F., Zuo, Y. N., Zhang, M., & Qi, Q. (2023) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-023-02174-5 · Cited by 20

The convergence of Digital Twins and Distributed Ledger Technologies: A systematic literature review and an architectural proposal

Somma, A., Benedictis, A. D., Esposito, C., & Mazzocca, N. (2024) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2024.103857 · Cited by 20

Enhancing Cognitive Digital Twin Interaction using an LLM Agent

Šturm, J., Zajec, P., Škrjanc, M., Mladenić, D., & Grobelnik, M. (2024) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.1109/mipro60963.2024.10569919 · Cited by 20

Redefining fan manufacturing: Unveiling industry 5.0's human-centric evolution and digital twin revolution

Yang, T., Razzaq, L., Fayaz, H., & Qazi, A. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e33551 · Cited by 20

Application of Machine Learning Approaches to Prediction of Corrosion Defects in Energy Pipelines

Hussain, M. N., Zhang, T., Jamil, I., Soomro, A. A., & Hussain, I. (2024) · Engineering materials · doi:10.1007/978-3-031-60358-7_7 · Cited by 20

AI and Smart Manufacturing

Motia, K., Kumar, R., & Akhai, S. (2024) · Advances in business strategy and competitive advantage book series · doi:10.4018/979-8-3693-6720-9.ch001 · Cited by 20

Improving industrial sustainability by the use of digital twin models in maintenance and production activities

Franciosi, C., Miranda, S., Veneroso, C. R., & Riemma, S. (2022) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2022.09.215 · Cited by 20

A digital twin modeling and application for gear rack drilling rigs lifting system

Jiangang, W., Shi, L., Ding, F., Jinli, L., Hou, L., & Enming, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-73954-z · Cited by 19

Embracing digital transformation for sustainable development: Barriers to adopting digital twin in asset management within Singapore's energy and chemicals industry

Zhan, H., Hwang, B., & Krishnankutty, P. (2024) · Sustainable Development · doi:10.1002/sd.3270 · Cited by 20

Review and Insights Toward Cognitive Digital Twins in Pavement Assets for Construction 5.0

Oditallah, M., Alam, M., Palaneeswaran, E., & Ranjha, S. A. (2025) · Infrastructures · doi:10.3390/infrastructures10030064 · Cited by 19

Fundamental requirements of Digital Twins for production system in Oil and Gas Industry: A systematic literature review

Belo, R. C., Pimenta, M. S., Salvador, T. T., Petry, R. H., & Abel, M. (2025) · Information and Software Technology · doi:10.1016/j.infsof.2025.107742 · Cited by 19

TwinArch: A digital twin reference architecture

Somma, A., Amalfitano, D., Benedictis, A. D., & Pelliccione, P. (2025) · Journal of Systems and Software · doi:10.1016/j.jss.2025.112613 · Cited by 19

Digital Twin in Safety-Critical Robotics Applications: Opportunities and Challenges

Baidya, S., Das, S. K., Uddin, M. H., Kosek, C., & Summers, C. (2022) · IEEE International Performance, Computing, and Communications Conference · doi:10.1109/ipccc55026.2022.9894313 · Cited by 19

Digital twin development through auto-linking to manage legacy assets in nuclear power plants

Edwards, C., Morales, D. L., Haas, C. T., Narasimhan, S., & Cascante, G. (2023) · Automation in Construction · doi:10.1016/j.autcon.2023.104774 · Cited by 19

Digital Twin for Advanced Automation of Future Smart Grid

Khan, S. A., Rehman, H. Z. U., Waqar, A., Khan, Z. H., Hussain, M., & Masud, U. (2023) · International Conference on Advanced Innovations in Smart Cities (ICAISC) · doi:10.1109/icaisc56366.2023.10085428 · Cited by 19

Digital twins for automotive development: Two wheelers application

Smeets, J., Öztürk, K., & Liebich, R. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.101982 · Cited by 19

Digital Twin of Wind Turbine Based on Microsoft® Azure IoT Platform

Issa, R., Hamad, M. S., & Abdel-Geliel, M. (2023) · IEEE Conference on Power Electronics and Renewable Energy (CPERE) · doi:10.1109/cpere56564.2023.10119576 · Cited by 19

Cost estimation approach of a digital twin implementation in industry

Oettl, F., Eckart, L., & Schilp, J. (2023) · Procedia CIRP · doi:10.1016/j.procir.2023.06.055 · Cited by 19

The Roadmap to a Quantum-Enabled Wireless Metaverse: Beyond the Classical Limits

Chehimi, M. M., Hashash, O., & Saad, W. (2023) · International Conference on Advances in Computational Tools for Engineering Applications · doi:10.1109/actea58025.2023.10194017 · Cited by 19

Integrating Virtual Twin and Deep Neural Networks for Efficient and Energy-Aware Robotic Deburring in Industry 4.0

Rahul, M. R., & Chiddarwar, S. S. (2023) · International Journal of Precision Engineering and Manufacturing · doi:10.1007/s12541-023-00875-8 · Cited by 19

On the Generation of Digital Data and Models from Point Clouds: Application to a Pedestrian Bridge Structure

Çatbaş, F. N., Cano, J. A., Luleci, F., Walters, L. C., & Michlowitz, R. A. (2023) · Infrastructures · doi:10.3390/infrastructures9010006 · Cited by 19

Big data for furniture intelligent manufacturing: conceptual framework, technologies, applications, and challenges

Yue, X., Xiong, X., Xu, X., & Zhang, M. (2024) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-024-13719-0 · Cited by 19

Virtual Building Models in built environments

Yoon, S. (2024) · Developments in the Built Environment · doi:10.1016/j.dibe.2024.100453 · Cited by 19

A Systematic Review of Digital Twin Technology for Home Care

Zafar, R. O., Rybarczyk, Y. P., & Borg, J. (2024) · ACM Transactions on Computing for Healthcare · doi:10.1145/3681797 · Cited by 19

A digital twin-assisted intelligent fault diagnosis method for hydraulic systems

Yang, J., Cai, B., Kong, X., Shao, X., Wang, B., Yu, Y., Gao, L., Yang, C. Y., & Liu, Y. (2024) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2024.100725 · Cited by 19

A digital twin-based human-robot collaborative system for the assembly of complex-shaped architectures

Zhang, Y., Jingyu, L., & Hongwei, Y. (2022) · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · doi:10.1177/09544054221110960 · Cited by 19

A novel intelligent assembly-adjustment method for aero-engine rotor system aimed at improving interface load-bearing performance

Zhao, B., Mu, X., Li, H., Du, W., & Sun, Q. (2025) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2025.03.001 · Cited by 18

A five-dimensional digital twin framework driven by large language models-enhanced RL for CNC systems

Lin, X., Chen, W., Zhou, Z., Li, J., Zhao, Y., & Zhang, X. (2025) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2025.103009 · Cited by 18

The Forging of Autonomic and Cooperating Digital Twins

Rivera, L. F. Z., Jiménez, M., Villegas, N. M., Tamura, G., & Müller, H. A. (2021) · IEEE Internet Computing · doi:10.1109/mic.2021.3051902 · Cited by 18

Development of a digital model and metamodel to improve the performance of an automated manufacturing line

Ruane, P., Walsh, P., & Cosgrove, J. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.10.011 · Cited by 18

SWLC-DT: An Architecture for Ship Whole Life Cycle Digital Twin Based on Vertical–Horizontal Design

Xiao, W., He, M., Wei, Z., & Wang, N. (2022) · Machines · doi:10.3390/machines10110998 · Cited by 18

Modeling Methods of 3D Model in Digital Twins

Liu, R., Li, H., & Lv, Z. (2022) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2023.023154 · Cited by 18

Value Creation with Digital Twins: Application-Oriented Conceptual Framework and Case Study

Barth, L., Schweiger, L., Galeno, G., Schaal, N., & Ehrat, M. (2023) · Applied Sciences · doi:10.3390/app13063511 · Cited by 18

Digital Twin Based Laboratory for Control Engineering Education

Tjahyadi, H., Prasetya, K., & Murwantara, I. M. (2023) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2023.13.4.1856 · Cited by 18

Digital Twin and Manufacturing

Can, Ö., & Türkmen, A. (2023) · Springer eBooks · doi:10.1007/978-981-99-0252-1_8 · Cited by 18

Remote Operation of Marine Robotic Systems and Next-Generation Multi-Purpose Control Rooms

Vasilijević, A., Bremnes, J. E., & Ludvigsen, M. (2023) · Journal of Marine Science and Engineering · doi:10.3390/jmse11101942 · Cited by 18

Digital Twin in Logistics and Supply Chain Management

Cebir, Y., & Akkartal, E. (2024) · Advances in logistics, operations, and management science book series · doi:10.4018/979-8-3693-3575-8.ch008 · Cited by 18

A digital twin for operations management in manufacturing engineering-to-order environments

Carlavan, G. V., Rossit, D. A., & Toncovich, A. (2024) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2024.100679 · Cited by 18

A digital shadow framework using distributed system concepts

AboElHassan, A., & Yacout, S. (2022) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-022-02028-6 · Cited by 18

BioDT: An Integrated Digital-Twin-Based Framework for Intelligent Biomanufacturing

Zhao, B., Li, X., Sun, W., Qian, J., Liu, J., Gao, M., Guan, X., Ma, Z., & Li, J. (2023) · Processes · doi:10.3390/pr11041213 · Cited by 17

Process Manufacturing Intelligence Empowered by Industrial Metaverse: A Survey

Luo, W., Huang, K., Liang, X., Ren, H., Zhou, N., Zhang, C., Yang, C., & Gui, W. (2024) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2024.3420958 · Cited by 18

Digital Twin With Soft Actor-Critic Reinforcement Learning for Transitioning From Industry 4.0 to 5.0

Asmat, H., Din, I. U., Almogren, A., & Khan, M. Y. (2025) · IEEE Access · doi:10.1109/access.2025.3546085 · Cited by 17

Computer-aided process planning, digital twin, and smart manufacturing: interconnections and integration in CNC machining processes

Afif, M. F., & Sarhan, A. A. D. (2025) · International Journal of Production Research · doi:10.1080/00207543.2025.2521717 · Cited by 17

Digital-Twin-Enabled Process Monitoring for a Robotic Additive Manufacturing Cell Using Wire-Based Laser Metal Deposition

Álvares, A. J., Rodriguez, E., & Figueroa, B. S. (2025) · Processes · doi:10.3390/pr13082335 · Cited by 17

Dynamic parameters identification of rolling joints based on the digital twin dynamic model of an assembled ball screw feed system

Zhang, W. D., Zhu, D., Huang, Z., Zhu, Y., & Zhu, J. (2022) · Advances in Mechanical Engineering · doi:10.1177/16878132221108491 · Cited by 17

Bionic digital brain realizing the digital twin-cutting process

Chen, J., Li, S., Leng, X., Li, C., Kurniawan, R., Kwak, Y., & Ko, T. J. (2023) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2023.102591 · Cited by 17

VR-based digital twin for remote monitoring of mining equipment: Architecture and a case study

Plavšić, J., & Mišković, I. (2024) · Virtual Reality & Intelligent Hardware · doi:10.1016/j.vrih.2023.12.002 · Cited by 17

DTwin-TEC: An AI-based TEC district digital twin and emulating security events by leveraging knowledge graph

Wajid, M. S., Terashima‐Marín, H., Najafirad, P., Conant-Pablos, S. E., & Wajid, M. A. (2024) · Journal of Open Innovation Technology Market and Complexity · doi:10.1016/j.joitmc.2024.100297 · Cited by 19

Landscaping the digital twin technology: Patent-based networks and technology reference model

Sung, K., Park, K. T., & Lee, H. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123576 · Cited by 17

Industry 4.0: digital twins characteristics, applications, and challenges in-built environments

Zribi, H., Abid, T. B., Elloumi, A., Hani, Y., Graba, B. B., & Elmhamedi, A. (2025) · Production & Manufacturing Research · doi:10.1080/21693277.2025.2456277 · Cited by 17

Review of Digital Twin in the Automotive Industry on Products, Processes and Systems

Liu, H., Zhang, B., Wu, V. L., Yang, X. Z., & Wang, L. (2025) · International Journal of Automotive Manufacturing and Materials · doi:10.53941/ijamm.2025.100006 · Cited by 20

Aerospace Transformation through Industry 4.0 Technologies

Carou, D. (2021) · SpringerBriefs in applied sciences and technology · doi:10.1007/978-3-030-67849-4_3 · Cited by 18

Research on the Construction of a Digital Twin System for the Long-Term Service Monitoring of Port Terminals

Bi, J., Wang, P., Zhang, W., Bao, K., & Qin, L. (2024) · Journal of Marine Science and Engineering · doi:10.3390/jmse12071215 · Cited by 16

Real-time drilling torque prediction ahead of the bit with just-in-time learning

Bai, K., Sheng, M., Zhang, H., Fan, H., & Pan, S.-W. (2024) · Petroleum Science · doi:10.1016/j.petsci.2024.12.014 · Cited by 16

Digital Twin Technologies for Vehicular Prototyping: A Survey

Kabir, M. R., Ravi, B. B. Y., & Ray, S. (2025) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2025.3562504 · Cited by 16

Machine Learning and Artificial Intelligence for Digital Twin to Accelerate Sustainability in Positive Energy Districts

Shen, J., Saini, P. K., & Zhang, X. (2021) · Sustainable development goals series · doi:10.1007/978-981-16-2778-1_20 · Cited by 16

Collaboration in Value Constellations for Sustainable Production: The Perspective of Small Technology Solution Providers

Rahnama, H., Johansen, K., Larsson, L., & Rönnbäck, A. Ö. (2022) · Sustainability · doi:10.3390/su14084794 · Cited by 16

A 5M Synchronization Mechanism for Digital Twin Shop-Floor

Liu, W., Cheng, J., Wen, Z., Zou, X., Wang, Z., Liu, H., & Tao, F. (2023) · Chinese Journal of Mechanical Engineering · doi:10.1186/s10033-023-00965-8 · Cited by 18

Digital Twin Space: The Integration of Digital Twins and Data Spaces

Somma, A., Benedictis, A. D., Zappatore, M. S., Martella, C., Martella, A., & Longo, A. (2023) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata59044.2023.10386737 · Cited by 16

Graphics-based modular digital twin software framework for production lines

Yu, X., Sun, X., & Ou, L. (2024) · Computers & Industrial Engineering · doi:10.1016/j.cie.2024.110308 · Cited by 16

Digital twin-driven modeling and application of carbon emission for machine tool

Li, C. C., Ge, W., Huang, Z., Zhang, Q., Li, H., & Cao, H. (2024) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-024-13788-1 · Cited by 16

Construction 4.0: enhancing sustainable construction practices by evaluating digital twin barriers in the Nigerian AEC industry

Ibrahim, K., Okanlawon, T. T., Oyewobi, L. O., Badamasi, A. A., Dodo, M., & Jimoh, R. A. (2024) · Engineering Construction & Architectural Management · doi:10.1108/ecam-04-2024-0520 · Cited by 16

How Can Digital Twins Support the Economic, Environmental, and Social Sustainability of Healthcare Systems: A Systematic Review Focused on the Triple Bottom Line

Xames, M. D., & Topcu, T. G. (2025) · IEEE Access · doi:10.1109/access.2025.3559502 · Cited by 18

Digital Twin Architecture and Development Trends on Manufacturing Topologies

Lim, K. Y. H., Le, N. T., Agarwal, N., & Huynh, B. H. (2021) · Intelligent systems reference library · doi:10.1007/978-3-030-67270-6_10 · Cited by 16

Defining a Model for Integrating Indoor and Outdoor Network Data to Support Seamless Navigation Applications

Claridades, A. R. C., & Lee, J. (2021) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi10080565 · Cited by 16

Digital Twin Technologies, Architecture, and Applications: A Comprehensive Systematic Review and Bibliometric Analysis

Ofosu, R., Far, A. H., & Sarwar, D. (2022) · Advanced sciences and technologies for security applications · doi:10.1007/978-3-030-98225-6_5 · Cited by 16

Automating Production Process Data Acquisition Towards Spaghetti Chart 4.0

Alzubaidi, S., Coli, E., & Fantoni, G. (2022) · International Journal of Industrial Engineering and Management · doi:10.24867/ijiem-2022-3-308 · Cited by 16

An IoT Digital Twin for Cyber-Security Defence Based on Runtime Verification

Diego, J. D. D. H., Temperekidis, A., Katsaros, P., & Konstantinou, C. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19849-6_31 · Cited by 16

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