Hierarchical Flow Visualization

Hierarchical Flow Visualization is a multiscale flow visualization method that organizes flow data into nested levels of spatial or temporal resolution, enabling coherent visualization and analysis of fluid dynamics across distinct scales through a structured, layered representation.

9

Publications

332

Citations

24

Authors

7

Institutions

Publications per year

2017–2026

0

Authors

24

  1. CW
    Chaoli Wang

    University of Notre Dame, United States

    3 publications · 117 citations

    3

    h-index

  2. CS
    Ching-Kuang Shene

    Michigan Technological University, United States

    3 publications · 117 citations

    3

    h-index

  3. JM
    Jun Ma

    National University of Defense Technology, China

    2 publications · 39 citations

    2

    h-index

  4. HY
    Hongfeng Yu

    Chinese Academy of Sciences, China

    1 publications · 78 citations

    1

    h-index

  5. BM
    Bart M. ter Haar Romeny

    Eindhoven University of Technology, Netherlands

    1 publications · 37 citations

    1

    h-index

1–5 of 24

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 98 citations

    2

    h-index

  2. 1

    h-index

  3. Computer Graphics Forum

    1 publications · 37 citations

    1

    h-index

  4. Journal of Bioresource Management

    JBM · 1 publications · 65 citations

    1

    h-index

  5. Computers & Graphics

    1 publications · 21 citations

    1

    h-index

1–5