Digital Twin Validation is a simulation-based validation methodology that distinguishes itself by dynamically verifying and assuring the fidelity of a digital twin through continuous, bidirectional synchronization with its corresponding physical system under real-time operational conditions.
341
Publications
20.4K
Citations
1.6K
Authors
517
Institutions
Publications per year
2017–2026
337
Publications
341
Digital Twin: Vision, Benefits, Boundaries, and Creation for Buildings
Siavash H. Khajavi, Naser Hossein Motlagh, Alireza Jaribion et al. · IEEE Access · 2019 · 582 citations · Full text
Digital twin – Proof of concept
Sebastian Haag, Reiner Anderl · Manufacturing Letters · 2018 · 546 citations
1–5 of 341
Authors
1.6K
- JS
4
h-index
- FT
4
h-index
- CC
3
h-index
- MW
3
h-index
- MU
3
h-index
1–5 of 1.6K
Institutions
517
Cranfield University
Cranfield, United Kingdom
7 h-index
37 publications
596 citations
Politecnico di Milano
Milan, Italy
7 h-index
25 publications
702 citations
Centre National de la Recherche Scientifique
Paris, France
7 h-index
17 publications
2K citations
Shanghai Jiao Tong University
Shanghai, China
6 h-index
19 publications
894 citations
Wuhan University of Technology
Wuhan, China
5 h-index
21 publications
985 citations
University of Sheffield
Sheffield, United Kingdom
5 h-index
17 publications
1.9K citations
Beihang University
Beijing, China
5 h-index
15 publications
1.2K citations
Xi'an Jiaotong University
Xi'an, China
5 h-index
19 publications
592 citations
1–8 of 517
Venues
- The International Journal of Advanced Manufacturing Technology
18 publications · 820 citations
16
h-index
- Journal of Manufacturing Systems
10 publications · 936 citations
10
h-index
- Sensors
10 publications · 476 citations
10
h-index
- Applied Sciences
9 publications · 605 citations
9
h-index
- Energies
7 publications · 257 citations
7
h-index
1–5