Facial Expression Recognition

Facial Expression Recognition is a computational method in computer vision and affective computing that identifies and classifies human emotional states from facial imagery by analyzing spatial and temporal patterns of facial muscle movements.

5.4K

Publications

340K

Citations

13K

Authors

3.1K

Institutions

Publications per year

2017–2026

2.9K

Authors

13K

  1. MP
    Maja Pantić

    Imperial College London, United Kingdom

    53 publications · 8.2K citations

    39

    h-index

  2. JF
    Jeffrey F. Cohn

    University of Pittsburgh, United States

    48 publications · 14.4K citations

    35

    h-index

  3. GZ
    Guoying Zhao

    University of Oulu, Finland

    46 publications · 9.6K citations

    33

    h-index

  4. TS
    Thomas S. Huang

    University of Illinois Urbana-Champaign, United States

    31 publications · 3.9K citations

    28

    h-index

  5. MS
    Marian Stewart Bartlett

    University of California San Diego, United States

    32 publications · 6.2K citations

    26

    h-index

1–5 of 13K

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 107 publications · 14.7K citations

    52

    h-index

  2. IEEE Access

    117 publications · 7.4K citations

    48

    h-index

  3. Pattern Recognition

    68 publications · 8.2K citations

    45

    h-index

  4. Neurocomputing

    74 publications · 4.9K citations

    42

    h-index

  5. IEEE Transactions on Image Processing

    44 publications · 7.7K citations

    37

    h-index

1–5