Emotion Prediction

Emotion Prediction is a computational methodology within affective computing that identifies and classifies emotional states from multimodal signals by modeling temporal and contextual patterns to infer latent affective conditions.

925

Publications

52.5K

Citations

3K

Authors

997

Institutions

Publications per year

2017–2026

595

Authors

3K

  1. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    33 publications · 3.8K citations

    22

    h-index

  2. JT
    Jianhua Tao

    Chinese Academy of Sciences, China

    11 publications · 508 citations

    11

    h-index

  3. FR
    Fabien Ringeval

    Imperial College London, United Kingdom

    10 publications · 1.3K citations

    10

    h-index

  4. MA
    Mihalis A. Nicolaou

    Imperial College London, United Kingdom

    10 publications · 3.1K citations

    10

    h-index

  5. SZ
    Sicheng Zhao

    Tsinghua University, China

    9 publications · 979 citations

    9

    h-index

1–5 of 3K

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 30 publications · 2.6K citations

    22

    h-index

  2. IEEE Access

    23 publications · 1.5K citations

    19

    h-index

  3. Sensors

    17 publications · 749 citations

    16

    h-index

  4. arXiv (Cornell University)

    Repository · 23 publications · 472 citations

    14

    h-index

  5. Emotion

    13 publications · 710 citations

    13

    h-index

1–5