Digital Twin Development
Digital Twin Development is the systematic creation and evolution of a dynamic, data-driven computational model that maintains a continuous, bidirectional synchronization between a physical spacecraft system and its virtual counterpart to enable real-time monitoring, prediction, and performance optimization throughout the system's lifecycle.
1.2K
Publications
109.3K
Citations
4.5K
Authors
1.3K
Institutions
Publications per year
2017–2026
1.2K
1.2K
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 1.2K
4.5K
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10
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10
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8
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8
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1–5 of 4.5K
1.3K

Beihang University
Beijing, China
25 h-index
63 publications
42.8K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
20 h-index
41 publications
3.4K citations
University of Cambridge
Cambridge, United Kingdom
18 h-index
51 publications
5.3K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
29 publications
3.6K citations
Tsinghua University
Beijing, China
15 h-index
36 publications
1.9K citations
RWTH Aachen University
Aachen, Germany
15 h-index
50 publications
2.7K citations

Huazhong University of Science and Technology
Wuhan, China
14 h-index
51 publications
3K citations
National University of Singapore
Singapore, Singapore
13 h-index
23 publications
8.8K citations
1–8 of 1.3K
42 publications · 9.2K citations
34
h-index
33 publications · 6.3K citations
28
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34 publications · 1.6K citations
23
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27 publications · 2.1K citations
23
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20 publications · 1.1K citations
18
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1–5