Feature Recognition

Feature Recognition is a computational method in computer-aided process planning that identifies and extracts geometric and technological features from a part design to enable automated interpretation and manufacturing process specification.

967

Publications

40K

Citations

2.6K

Authors

825

Institutions

Publications per year

2017–2026

357

Authors

2.6K

  1. JJ
    Jami J. Shah

    Arizona State University, United States

    14 publications · 694 citations

    12

    h-index

  2. YS
    Yong Se Kim

    Sungkyunkwan University, South Korea

    14 publications · 716 citations

    12

    h-index

  3. WC
    William C. Regli

    Drexel University, United States

    13 publications · 783 citations

    12

    h-index

  4. JH
    JungHyun Han

    Korea University, South Korea

    9 publications · 580 citations

    10

    h-index

  5. AN
    A.Y.C. Nee

    National University of Singapore, Singapore

    10 publications · 370 citations

    10

    h-index

1–5 of 2.6K

Venues

  1. Computer-Aided Design

    55 publications · 4.4K citations

    38

    h-index

  2. International Journal of Production Research

    35 publications · 1.2K citations

    23

    h-index

  3. 21

    h-index

  4. 17

    h-index

  5. Computers in Industry

    16 publications · 1.1K citations

    15

    h-index

1–5