Singularity Detection

Singularity Detection is a methodological framework within singularity analysis that identifies and characterizes points in a system or function where behavior becomes unbounded, non-analytic, or structurally divergent from regular patterns.

272

Publications

15K

Citations

656

Authors

365

Institutions

Publications per year

2017–2026

37

Authors

656

  1. WX
    Wenfu Xu

    Harbin Institute of Technology, China

    4 publications · 167 citations

    4

    h-index

  2. RD
    Raffaele Di Gregorio

    University of Ferrara, Italy

    4 publications · 212 citations

    4

    h-index

  3. JG
    Jaime Gallardo-Alvarado

    Technological Institute of Celaya, Mexico

    3 publications · 121 citations

    3

    h-index

  4. YL
    Yanlin Li

    Hangzhou Normal University, China

    3 publications · 84 citations

    3

    h-index

  5. ZC
    Zhijun Chen

    Huazhong University of Science and Technology, China

    3 publications · 149 citations

    3

    h-index

1–5 of 656

Venues

  1. 5

    h-index

  2. Journal of Mechanical Design

    5 publications · 341 citations

    5

    h-index

  3. Mechanism and Machine Theory

    5 publications · 472 citations

    5

    h-index

  4. Robotica

    3 publications · 83 citations

    3

    h-index

  5. Applied and Computational Harmonic Analysis

    3 publications · 60 citations

    3

    h-index

1–5