Feature Point Detection

Feature Point Detection is a computational method in pharmacophore modeling that identifies spatially distinct atomic or functional group positions indicative of molecular interactions by analyzing three-dimensional molecular structures for geometric and chemical features essential to biological activity.

414

Publications

22.8K

Citations

1.3K

Authors

471

Institutions

Publications per year

2017–2026

129

Authors

1.3K

  1. TG
    Theo Gevers

    University of Amsterdam, Netherlands

    4 publications · 350 citations

    4

    h-index

  2. PF
    Pascal Fua

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 1.2K citations

    4

    h-index

  3. VL
    Vincent Lepetit

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 1.2K citations

    4

    h-index

  4. WB
    Wolfram Burgard

    University of Freiburg, Germany

    3 publications · 393 citations

    3

    h-index

  5. AC
    Anil Cheriyadat

    Oak Ridge National Laboratory, United States

    3 publications · 147 citations

    3

    h-index

1–5 of 1.3K

Venues

  1. Sensors

    15 publications · 534 citations

    14

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 11 publications · 2.1K citations

    11

    h-index

  3. IEEE Transactions on Image Processing

    7 publications · 941 citations

    7

    h-index

  4. IEEE Access

    7 publications · 231 citations

    7

    h-index

  5. arXiv (Cornell University)

    Repository · 6 publications · 225 citations

    6

    h-index

1–5