Valence Modeling

Valence Modeling is a computational framework within affective state detection that specifically characterizes the intrinsic affective dimension of emotional stimuli or responses along a continuum from positive to negative, distinguishing it from other affect-related modeling approaches by focusing exclusively on the valence polarity rather than arousal, dominance, or categorical emotion labels.

417

Publications

30.5K

Citations

1.5K

Authors

664

Institutions

Publications per year

2017–2026

177

Authors

1.5K

  1. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    7 publications · 1.2K citations

    7

    h-index

  2. MA
    Masato Akagi

    Japan Advanced Institute of Science and Technology, Japan

    5 publications · 96 citations

    5

    h-index

  3. AM
    Arthur M. Jacobs

    Freie Universität Berlin, Germany

    5 publications · 323 citations

    5

    h-index

  4. JW
    Jin Wang

    Changsha University of Science and Technology, China

    4 publications · 271 citations

    4

    h-index

  5. LY
    Liang-Chih Yu

    Yuan Ze University, Taiwan

    4 publications · 236 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 15 publications · 742 citations

    14

    h-index

  2. Frontiers in Psychology

    7 publications · 340 citations

    7

    h-index

  3. Cognition & Emotion

    7 publications · 1.4K citations

    7

    h-index

  4. PLoS ONE

    5 publications · 848 citations

    5

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 5 publications · 2.1K citations

    5

    h-index

1–5