Feature Tree Representation

Feature Tree Representation is a hierarchical data structure that organizes design features in a parent-child relationship, where each node represents a distinct geometric or functional feature, and the tree structure captures the sequential dependencies and logical relationships among features in a CAD model.

85

Publications

3.3K

Citations

292

Authors

140

Institutions

Publications per year

2017–2026

34

Authors

292

  1. BX
    Bing Xue

    Victoria University of Wellington, New Zealand

    4 publications · 304 citations

    4

    h-index

  2. MZ
    Mengjie Zhang

    Victoria University of Wellington, New Zealand

    4 publications · 304 citations

    4

    h-index

  3. MR
    Matthias Rarey

    Universität Hamburg, Germany

    3 publications · 139 citations

    3

    h-index

  4. SR
    Silva Robak

    University of Zielona Góra, Poland

    2 publications · 37 citations

    2

    h-index

  5. DW
    David W. Jacobs

    University of Maryland, College Park, United States

    2 publications · 118 citations

    2

    h-index

1–5 of 292

Venues

  1. IEEE Transactions on Evolutionary Computation

    2 publications · 55 citations

    2

    h-index

  2. Artificial Intelligence in Medicine

    AIM · 2 publications · 40 citations

    2

    h-index

  3. IEEE Access

    2 publications · 49 citations

    2

    h-index

  4. The Lancet Diabetes & Endocrinology

    1 publications · 48 citations

    1

    h-index

  5. ChemMedChem

    1 publications · 71 citations

    1

    h-index

1–5