Digital Twins
Digital Twin is a dynamic, digital representation of a physical asset, process, or system that enables real-time simulation, monitoring, and analysis through bidirectional data exchange and synchronization between the physical and virtual counterparts.
3.2K
Publications
241.6K
Citations
10.6K
Authors
2.5K
Institutions
Publications per year
2017–2026
3.2K
3.2K
Digital Twin in Industry: State-of-the-Art
Fei Tao, He Zhang, Ang Liu et al. · IEEE Transactions on Industrial Informatics · 2019 · 3.8K citations
Engineering, Industrial Engineering, Manufacturing Engineering +17
Digital Twin: Enabling Technologies, Challenges and Open Research
Aidan Fuller, Zhong Fan, Charles Day et al. · IEEE Access · 2020 · 2.5K citations · Full text
Engineering, Manufacturing Engineering, Artificial Intelligence +14
1–5 of 3.2K
10.6K
31
h-index
31
h-index
20
h-index
17
h-index
16
h-index
1–5 of 10.6K
2.5K

Beihang University
Beijing, China
43 h-index
147 publications
63.3K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
32 h-index
87 publications
9K citations
Nanyang Technological University
Singapore, Singapore
31 h-index
77 publications
7.9K citations
University of Cambridge
Cambridge, United Kingdom
30 h-index
125 publications
15.2K citations

Centre National de la Recherche Scientifique
Paris, France
30 h-index
118 publications
11.3K citations

Uppsala University
Uppsala, Sweden
29 h-index
39 publications
2.8K citations
Norwegian University of Science and Technology
Trondheim, Norway
29 h-index
98 publications
9.8K citations

Huazhong University of Science and Technology
Wuhan, China
27 h-index
97 publications
6.6K citations
1–8 of 2.5K
79 publications · 16.5K citations
48
h-index
63 publications · 9.9K citations
44
h-index
79 publications · 4.6K citations
40
h-index
101 publications · 5K citations
38
h-index
69 publications · 3.7K citations
37
h-index
1–5