Most Cited Paper Award
The Most Cited Paper Award recognizes the most influential publications in the field of digital twin technologies based on citation performance during the designated evaluation period.
DigiTwin 2025
Digital Twin: Benefits, Use Cases, Challenges, and Opportunities
Authors: Mohsen Attaran, Bilge Gokhan Celik
Published in: Decision Analytics Journal, Volume 6 (March 2023), 100165
Digital Twin-Driven Intelligent Assessment of Gear Surface Degradation
Authors: Ke Feng, J.C. Ji, Yongchao Zhang, Qing Ni, Zheng Liu, Michael Beer
Published in: Mechanical Systems and Signal Processing, Volume 186 (1 March 2023), 109896
A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future
Authors: Mina Jafari, Abdollah Kavousi-Fard, Tao Chen, Mazaher Karimi
Published in: IEEE Access, Volume 11 (2023), 17471–17484
Digital Twin in Healthcare: Recent Updates and Challenges
Authors: Tianze Sun, Xiwang He, Zhonghai Li
Published in: Digital Health, Volume 9 (2023), 20552076221149651
Digital Twin Applications toward Industry 4.0: A Review
Authors: Mohd Javaid, Abid Haleem, Rajiv Suman
Published in: Cognitive Robotics, Volume 3, Issue 1 (2023), 71–92
DigiTwin 2024
Digital Twin Modeling
Authors: Fei Tao, Bin Xiao, Qinglin Qi, Jiangfeng Cheng, Ping Ji
Published in: Journal of Manufacturing Systems, Volume 64 (July 2022), 372–389
Digital Twin Technology Challenges and Applications: A Comprehensive Review
Authors: D. M. Botin-Sanabria, A. S. Mihaita, R. E. Peimbert-Garcia, et al.
Published in: Remote Sensing, Volume 14 (2022), 1335
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
Authors: S. Mihai, M. Yaqoob, D. V. Hung, et al.
Published in: Remote Sensing, Volume 14 (2022), Article 1335
Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions
Authors: L. U. Khan, W. Saad, D. Niyato, et al.
Published in: IEEE Communications Magazine, Volume 60, Issue 1 (January 2022), 74–80
Digital Twin in Smart Manufacturing
Authors: L. Li, B. Lei, C. Mao
Published in: Journal of Industrial Information Integration, Volume 26 (March 2022), 100289
DigiTwin 2023
Enabling Technologies and Tools for Digital Twin
Authors: Q. Qi, F. Tao, T. Hu, N. Anwer, A. Liu, et al.
Published in: Journal of Manufacturing Systems, Volume 58, Part B (January 2021), 3–21
Review of Digital Twin about Concepts, Technologies, and Industrial Applications
Authors: M. Liu, S. Fang, H. Dong, C. Xu
Published in: Journal of Manufacturing Systems, Volume 58, Part B (2021), 346–361
Digital Twin Paradigm: A Systematic Literature Review
Authors: C. Semeraro, M. Lezoche, H. Panetto, M. Dassisti
Published in: Computers in Industry, Volume 130 (2021), 103469
Digital Twin-Based Sustainable Intelligent Manufacturing: A Review
Authors: B. He, K. J. Bai
Published in: Advances in Manufacturing, Volume 9 (2021), 1–21
Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model
Authors: S. Aheleroff, X. Xu, R. Y. Zhong, Y. Lu
Published in: Advanced Engineering Informatics, Volume 47 (2021), 101225