Feature-based Flow Representation

Feature-Based Flow Representation is a flow representation method that characterizes fluid motion through extracted physical or mathematical features, distinguishing itself from holistic or raw-data approaches by focusing on salient, often reduced, descriptors derived from flow fields.

22

Publications

898

Citations

85

Authors

41

Institutions

Publications per year

2017–2026

13

Authors

85

  1. ZC
    Zhihua Chen

    Nanjing University of Science and Technology, China

    2 publications · 58 citations

    2

    h-index

  2. NA
    Nadine Aubry

    New Jersey Institute of Technology, United States

    2 publications · 58 citations

    2

    h-index

  3. WW
    Wei‐Tao Wu

    Nanjing University of Science and Technology, China

    2 publications · 58 citations

    2

    h-index

  4. JP
    Jiang-Zhou Peng

    Nanjing University of Science and Technology, China

    2 publications · 58 citations

    2

    h-index

  5. BK
    Babak Kashir

    Amirkabir University of Technology, Iran

    1 publications · 18 citations

    1

    h-index

1–5 of 85

Venues

  1. Physics of Fluids

    3 publications · 80 citations

    3

    h-index

  2. 2

    h-index

  3. International Journal of Engine Research

    1 publications · 26 citations

    1

    h-index

  4. 1

    h-index

  5. ACM Transactions on Graphics

    TOG · 1 publications · 100 citations

    1

    h-index

1–5