Torque Prediction Models

Torque Prediction Models is a computational framework that distinguishes itself by quantitatively estimating rotational force in mechanical systems through mathematical representations of input variables, boundary conditions, and physical laws governing torsional dynamics.

79

Publications

3.4K

Citations

280

Authors

128

Institutions

Publications per year

2017–2026

35

Authors

280

  1. CQ
    Chengjin Qin

    Shanghai Jiao Tong University, China

    5 publications · 416 citations

    5

    h-index

  2. YJ
    Yanrui Jin

    Shanghai Jiao Tong University, China

    4 publications · 393 citations

    4

    h-index

  3. CL
    Chengliang Liu

    Shanghai Jiao Tong University, China

    4 publications · 393 citations

    4

    h-index

  4. JT
    Jianfeng Tao

    Shanghai Jiao Tong University, China

    4 publications · 393 citations

    4

    h-index

  5. MH
    Mitsuhiro Hayashibe

    Tohoku University, Japan

    3 publications · 131 citations

    3

    h-index

1–5 of 280

Venues

  1. Sensors

    3 publications · 51 citations

    3

    h-index

  2. Mechanical Systems and Signal Processing

    MSSP · 3 publications · 342 citations

    3

    h-index

  3. ISIJ International

    2 publications · 53 citations

    2

    h-index

  4. IEEE Transactions on Magnetics

    2 publications · 69 citations

    2

    h-index

  5. 2

    h-index

1–5