Digital Twin Modeling

Digital Twin Modeling is a computational modeling paradigm that instantiates a digital replica of a physical system, distinguished by its capacity for real-time bidirectional synchronization between the physical and virtual domains to enable dynamic prediction, monitoring, and optimization across the system lifecycle.

1.5K

Publications

121.4K

Citations

5.8K

Authors

1.5K

Institutions

Publications per year

2017–2026

1.5K

Authors

5.8K

  1. FT
    Fei Tao

    Beihang University, China

    21 publications · 8.8K citations

    21

    h-index

  2. JB
    Jinsong Bao

    Donghua University, China

    12 publications · 1.3K citations

    12

    h-index

  3. PZ
    Pai Zheng

    Hong Kong Polytechnic University, Hong Kong SAR China

    12 publications · 2K citations

    12

    h-index

  4. MW
    Michael Weyrich

    University of Stuttgart, Germany

    11 publications · 508 citations

    11

    h-index

  5. KW
    Karen Willcox

    Massachusetts Institute of Technology, United States

    9 publications · 754 citations

    9

    h-index

1–5 of 5.8K

Venues

  1. Journal of Manufacturing Systems

    45 publications · 6.3K citations

    39

    h-index

  2. IEEE Access

    44 publications · 7.3K citations

    34

    h-index

  3. Procedia CIRP

    55 publications · 2.6K citations

    28

    h-index

  4. Robotics and Computer-Integrated Manufacturing

    30 publications · 4K citations

    27

    h-index

  5. Applied Sciences

    38 publications · 1.7K citations

    24

    h-index

1–5