Cross-site Validation

Cross-Site Validation is a methodological framework in phenotype validation research that systematically assesses the generalizability and reproducibility of phenotypic findings across diverse geographic, institutional, or technical settings to ensure robustness beyond a single study context.

24

Publications

1.9K

Citations

118

Authors

61

Institutions

Publications per year

2017–2026

9

Authors

118

  1. SW
    Shengwei Wang

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 68 citations

    2

    h-index

  2. KS
    Kui Shan

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 68 citations

    2

    h-index

  3. JF
    J.D.B. Featherstone

    University of California, San Francisco, United States

    1 publications · 75 citations

    1

    h-index

  4. RL
    Rui Li

    Fudan University, China

    1 publications · 18 citations

    1

    h-index

  5. LS
    Lisa Styles

    University of British Columbia, Canada

    1 publications · 101 citations

    1

    h-index

1–5 of 118

Venues

  1. Geoderma

    1 publications · 76 citations

    1

    h-index

  2. Journal of Personality Assessment

    1 publications · 11 citations

    1

    h-index

  3. 1

    h-index

  4. Neuroinformatics

    1 publications · 35 citations

    1

    h-index

  5. Journal of Mechanical Design

    1 publications · 14 citations

    1

    h-index

1–5