Dynamic Facial Analysis

Dynamic Facial Analysis is a methodological framework within nonverbal decoding that systematically examines temporal changes in facial expressions to infer emotional and cognitive states through the detailed interpretation of dynamic facial movements over time.

357

Publications

28.6K

Citations

1.1K

Authors

441

Institutions

Publications per year

2017–2026

126

Authors

1.1K

  1. JF
    Jeffrey F. Cohn

    University of Pittsburgh, United States

    11 publications · 3.2K citations

    11

    h-index

  2. QJ
    Qiang Ji

    Rensselaer Polytechnic Institute, United States

    9 publications · 1.1K citations

    9

    h-index

  3. WS
    Wataru Sato

    Kyoto University, Japan

    8 publications · 699 citations

    8

    h-index

  4. QL
    Qingshan Liu

    Nanjing University of Information Science and Technology, China

    7 publications · 524 citations

    7

    h-index

  5. LY
    Lijun Yin

    Binghamton University, United States

    7 publications · 2K citations

    7

    h-index

1–5 of 1.1K

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 14 publications · 706 citations

    14

    h-index

  2. 8

    h-index

  3. IEEE Transactions on Image Processing

    6 publications · 1K citations

    6

    h-index

  4. Scientific Reports

    6 publications · 195 citations

    6

    h-index

  5. ACM Transactions on Graphics

    TOG · 6 publications · 883 citations

    6

    h-index

1–5