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
Parents
79
KangKang Yin, Kevin Loken, Michiel van de Panne · 2007 · 334 citations
KangKang Yin, Kevin Loken, Michiel van de Panne · ACM Transactions on Graphics · 2007 · 331 citations
Shahaboddin Shamshirband, Dalibor Petković, Amineh Amini et al. · Energy · 2014 · 122 citations
Computing, Computational Engineering, Mechanical Engineering +8
1–5 of 79
280
5
h-index
4
h-index
4
h-index
4
h-index
3
h-index
1–5 of 280
128

Shanghai Jiao Tong University
Shanghai, China
6 h-index
30 publications
2.7K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
10 publications
477 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
8 publications
192 citations

McGill University
Montreal, Canada
2 h-index
4 publications
67 citations

University of British Columbia
Vancouver, Canada
2 h-index
6 publications
2K citations

Université de Montpellier
Montpellier, France
2 h-index
6 publications
141 citations
Aalborg University
Aalborg, Denmark
2 h-index
5 publications
107 citations
Tsinghua University
Beijing, China
2 h-index
5 publications
120 citations
1–8 of 128
3 publications · 51 citations
3
h-index
MSSP · 3 publications · 342 citations
3
h-index
2 publications · 53 citations
2
h-index
2 publications · 69 citations
2
h-index
2 publications · 204 citations
2
h-index
1–5