Digital Twins

Digital Twin is a dynamic, digital representation of a physical asset, process, or system that enables real-time simulation, monitoring, and analysis through bidirectional data exchange and synchronization between the physical and virtual counterparts.

3.2K

Publications

241.6K

Citations

10.6K

Authors

2.5K

Institutions

Publications per year

2017–2026

3.2K

Authors

10.6K

  1. FT
    Fei Tao

    Beihang University, China

    33 publications · 17.8K citations

    31

    h-index

  2. ZL
    Zhihan Lv

    Qingdao University, China

    41 publications · 2.9K citations

    31

    h-index

  3. HL
    Haibin Lv

    National Bureau of Statistics of China, China

    21 publications · 1.9K citations

    20

    h-index

  4. JB
    Jinsong Bao

    Donghua University, China

    17 publications · 1.8K citations

    17

    h-index

  5. MW
    Michael Weyrich

    University of Stuttgart, Germany

    17 publications · 1.1K citations

    16

    h-index

1–5 of 10.6K

Venues

  1. IEEE Access

    79 publications · 16.5K citations

    48

    h-index

  2. Journal of Manufacturing Systems

    63 publications · 9.9K citations

    44

    h-index

  3. Applied Sciences

    79 publications · 4.6K citations

    40

    h-index

  4. Procedia CIRP

    101 publications · 5K citations

    38

    h-index

  5. Sensors

    69 publications · 3.7K citations

    37

    h-index

1–5