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

Authors

2.6K

  1. VK
    Vladimir Kuts

    Tallinn University of Technology, Estonia

    6 publications · 406 citations

    6

    h-index

  2. JR
    Juergen Rossmann

    RWTH Aachen University, Germany

    5 publications · 918 citations

    5

    h-index

  3. JB
    Jinsong Bao

    Donghua University, China

    5 publications · 313 citations

    5

    h-index

  4. PL
    Paulo Leitão

    Polytechnic Institute of Bragança, Portugal

    5 publications · 314 citations

    5

    h-index

  5. FT
    Fei Tao

    Beihang University, China

    5 publications · 1.2K citations

    5

    h-index

1–5 of 2.6K

Venues

  1. Applied Sciences

    27 publications · 1.6K citations

    20

    h-index

  2. Procedia CIRP

    22 publications · 1.1K citations

    17

    h-index

  3. IFAC-PapersOnLine

    18 publications · 1.1K citations

    16

    h-index

  4. IEEE Access

    15 publications · 2.4K citations

    15

    h-index

  5. 12

    h-index

1–5