Radiomics

Radiomics is a data-driven methodology within radiology informatics that extracts and analyzes high-dimensional quantitative features from medical images to uncover imaging biomarkers indicative of underlying pathophysiological processes, thereby supporting image interpretation and clinical decision-making.

4.2K

Publications

234.7K

Citations

22.4K

Authors

3.2K

Institutions

Publications per year

2017–2026

4.1K

Authors

22.4K

  1. JT
    Jie Tian

    Chinese Academy of Sciences, China

    112 publications · 13.1K citations

    62

    h-index

  2. DD
    Di Dong

    Chinese Academy of Sciences, China

    52 publications · 5.2K citations

    39

    h-index

  3. PL
    Philippe Lambin

    Maastro Clinic, Netherlands

    52 publications · 14.5K citations

    37

    h-index

  4. RT
    Ralph T. H. Leijenaar

    Maastricht University Medical Centre, Netherlands

    36 publications · 13.2K citations

    32

    h-index

  5. SD
    Shaofeng Duan

    United Imaging Healthcare (China), China

    63 publications · 2.4K citations

    31

    h-index

1–5 of 22.4K

Venues

  1. European Radiology

    320 publications · 20.7K citations

    83

    h-index

  2. Scientific Reports

    217 publications · 15.6K citations

    64

    h-index

  3. Frontiers in Oncology

    451 publications · 14.6K citations

    52

    h-index

  4. Journal of Magnetic Resonance Imaging

    JMRI · 116 publications · 6.6K citations

    49

    h-index

  5. Cancers

    172 publications · 5.9K citations

    44

    h-index

1–5