Model Robustness Assessment

Model Robustness Assessment is a methodological framework within pharmacophore validation that evaluates the stability and reliability of a pharmacophore model under varying conditions or perturbations to ensure its predictive consistency and generalizability.

415

Publications

25K

Citations

1.6K

Authors

602

Institutions

Publications per year

2017–2026

257

Authors

1.6K

  1. XL
    Xianglong Liu

    Beihang University, China

    7 publications · 389 citations

    7

    h-index

  2. CH
    C.J. Harris

    University of Southampton, United Kingdom

    7 publications · 267 citations

    7

    h-index

  3. AL
    Aishan Liu

    Beihang University, China

    7 publications · 389 citations

    7

    h-index

  4. XH
    Xia Hong

    University of Reading, United Kingdom

    5 publications · 223 citations

    5

    h-index

  5. CC
    Ching‐Shui Cheng

    University of California, Berkeley, United States

    5 publications · 274 citations

    5

    h-index

1–5 of 1.6K

Venues

  1. arXiv (Cornell University)

    Repository · 45 publications · 2.6K citations

    25

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 13 publications · 1.4K citations

    13

    h-index

  3. Journal of Near Infrared Spectroscopy

    JNIRS · 4 publications · 79 citations

    4

    h-index

  4. 4

    h-index

  5. Water Resources Research

    4 publications · 446 citations

    4

    h-index

1–5