Digital Twin Development

Digital Twin Development is the systematic creation and evolution of a dynamic, data-driven computational model that maintains a continuous, bidirectional synchronization between a physical spacecraft system and its virtual counterpart to enable real-time monitoring, prediction, and performance optimization throughout the system's lifecycle.

1.2K

Publications

109.3K

Citations

4.5K

Authors

1.3K

Institutions

Publications per year

2017–2026

1.2K

Authors

4.5K

  1. FT
    Fei Tao

    Beihang University, China

    18 publications · 11.9K citations

    18

    h-index

  2. ZL
    Zhihan Lv

    Qingdao University, China

    10 publications · 821 citations

    10

    h-index

  3. AE
    Abdulmotaleb El Saddik

    University of Ottawa, Canada

    10 publications · 1.5K citations

    10

    h-index

  4. JB
    Jinsong Bao

    Donghua University, China

    8 publications · 909 citations

    8

    h-index

  5. ZW
    Ziran Wang

    Purdue University West Lafayette, United States

    8 publications · 768 citations

    8

    h-index

1–5 of 4.5K

Venues

  1. IEEE Access

    42 publications · 9.2K citations

    34

    h-index

  2. Journal of Manufacturing Systems

    33 publications · 6.3K citations

    28

    h-index

  3. Procedia CIRP

    34 publications · 1.6K citations

    23

    h-index

  4. Advanced Engineering Informatics

    27 publications · 2.1K citations

    23

    h-index

  5. Sensors

    20 publications · 1.1K citations

    18

    h-index

1–5