Assembly Feature Recognition

Assembly Feature Recognition is a computational method in computer-aided design that identifies and extracts functional or geometric relationships between parts in an assembly to support downstream engineering tasks such as design reuse, manufacturability analysis, or automated assembly planning.

43

Publications

1.2K

Citations

120

Authors

56

Institutions

Publications per year

2017–2026

13

Authors

120

  1. JJ
    Jami J. Shah

    Arizona State University, United States

    4 publications · 66 citations

    4

    h-index

  2. CM
    Christian Mascle

    Polytechnique Montréal, Canada

    3 publications · 82 citations

    3

    h-index

  3. DE
    D. E. R. Clark

    Heriot-Watt University, United Kingdom

    3 publications · 93 citations

    3

    h-index

  4. JC
    Jonathan Corney

    University of Strathclyde, United Kingdom

    3 publications · 93 citations

    3

    h-index

  5. RS
    Raymond Sung

    Heriot-Watt University, United Kingdom

    2 publications · 77 citations

    2

    h-index

1–5 of 120

Venues

  1. 3

    h-index

  2. Journal of Intelligent Manufacturing

    3 publications · 90 citations

    3

    h-index

  3. Journal of Manufacturing Systems

    3 publications · 58 citations

    3

    h-index

  4. Computers in Industry

    2 publications · 34 citations

    2

    h-index

  5. Procedia CIRP

    2 publications · 47 citations

    2

    h-index

1–5