Cross-institution Validation

Cross-Institution Validation is a form of phenotype validation in which the generalizability and robustness of a research contribution—such as a method, model, framework, or dataset—are assessed through replication or evaluation across distinct institutional settings to ensure external validity beyond localized data, practices, or populations.

6

Publications

203

Citations

51

Authors

26

Institutions

Publications per year

2017–2026

4

Variants

Multi-institutional ValidationMulti-site Validation

Authors

51

  1. AW
    Adrian Walker

    KU Leuven, Belgium

    1 publications · 44 citations

    1

    h-index

  2. JS
    Jiangfeng Shi

    Guilin University of Aerospace Technology, China

    1 publications · 57 citations

    1

    h-index

  3. JL
    Jianpeng Li

    First Affiliated Hospital of Xi'an Jiaotong University, China

    1 publications · 57 citations

    1

    h-index

  4. AM
    Anna Merle Reinhart

    Institute of Cancer Research, United Kingdom

    1 publications · 44 citations

    1

    h-index

  5. GS
    Giuseppe Schettino

    National Physical Laboratory, United Kingdom

    1 publications · 44 citations

    1

    h-index

1–5 of 51

Venues

  1. Nature Communications

    1 publications · 57 citations

    1

    h-index

  2. Clinical Orthopaedics and Related Research

    1 publications · 23 citations

    1

    h-index

  3. Physics in Medicine and Biology

    1 publications · 44 citations

    1

    h-index

  4. PubMed

    Repository · 1 publications · 33 citations

    1

    h-index

  5. Special Care in Dentistry

    SCD · 1 publications · 35 citations

    1

    h-index

1–5