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