Interaction Knowledge Extraction

Interaction Knowledge Extraction is a scholarly methodological contribution that systematically identifies, formalizes, and distills patterns of interactive behaviors or relationships from empirical or computational data within human-computer, social, or cognitive systems, distinguishing itself by its focus on uncovering latent, higher-order knowledge structures inherent in interaction processes.

69

Publications

11.1K

Citations

273

Authors

125

Institutions

Publications per year

2017–2026

20

Authors

273

  1. AR
    Andrey Rzhetsky

    University of Chicago, United States

    2 publications · 77 citations

    2

    h-index

  2. WW
    Wenhui Wang

    Lanzhou Jiaotong University, China

    2 publications · 250 citations

    2

    h-index

  3. FW
    Furu Wei

    Microsoft Research Asia (China), China

    2 publications · 250 citations

    2

    h-index

  4. LD
    Li Dong

    Microsoft (United States), United States

    2 publications · 250 citations

    2

    h-index

  5. HB
    Hangbo Bao

    Microsoft Research (United Kingdom), United Kingdom

    2 publications · 250 citations

    2

    h-index

1–5 of 273

Venues

  1. BMC Bioinformatics

    3 publications · 108 citations

    3

    h-index

  2. International Journal of Medical Informatics

    2 publications · 169 citations

    2

    h-index

  3. Database

    2 publications · 54 citations

    2

    h-index

  4. Expert Systems with Applications

    1 publications · 11 citations

    1

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 18 citations

    1

    h-index

1–5