Digital Twin Simulation
Digital Twin Simulation is a computational modeling approach that dynamically mirrors physical assets, processes, or systems in real time by integrating live data streams, distinguishing itself through bidirectional synchronization between the physical and virtual domains for predictive, diagnostic, and prescriptive analytics.
661
Publications
43.2K
Citations
2.6K
Authors
818
Institutions
Publications per year
2017–2026
654
Parents
661
Digital twin driven prognostics and health management for complex equipment
Fei Tao, Meng Zhang, Yushan Liu et al. · CIRP Annals · 2018 · 935 citations
1–5 of 661
2.6K
6
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5
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5
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5
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5
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1–5 of 2.6K
818
RWTH Aachen University
Aachen, Germany
13 h-index
53 publications
4.3K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
14 publications
466 citations

University of Southern Denmark
Odense, Denmark
10 h-index
19 publications
1.8K citations
Norwegian University of Science and Technology
Trondheim, Norway
10 h-index
28 publications
4.4K citations
Tsinghua University
Beijing, China
9 h-index
29 publications
1.7K citations

Shanghai Jiao Tong University
Shanghai, China
9 h-index
22 publications
1.2K citations
Politecnico di Milano
Milan, Italy
9 h-index
28 publications
1.8K citations
Siemens (Germany)
Munich, Germany
8 h-index
19 publications
653 citations
1–8 of 818
27 publications · 1.6K citations
20
h-index
22 publications · 1.1K citations
17
h-index
18 publications · 1.1K citations
16
h-index
15 publications · 2.4K citations
15
h-index
12 publications · 541 citations
12
h-index
1–5