Flow Skeletonization

Flow Skeletonization is a computational method in flow feature extraction and multiscale flow visualization that identifies and represents the topological structure of fluid flow by reducing flow features to a one-dimensional skeleton composed of critical points and their connecting manifolds.

7

Publications

211

Citations

24

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

24

  1. JL
    James L. Helman

    Stanford University, United States

    2 publications · 104 citations

    2

    h-index

  2. CK
    Ching Kuang Shene

    Michigan Technological University, United States

    1 publications · 17 citations

    1

    h-index

  3. DZ
    Dengming Zhu

    Chinese Academy of Sciences, China

    1 publications · 14 citations

    1

    h-index

  4. ZW
    Zhaoqi Wang

    Chinese Academy of Sciences, China

    1 publications · 14 citations

    1

    h-index

  5. TW
    Tino Weinkauf

    Max Planck Institute for Informatics, Germany

    1 publications · 43 citations

    1

    h-index

1–5 of 24

Venues

  1. IEEE Visualization

    Conference · 1 publications · 41 citations

    1

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  2. Journal of Biomechanics

    1 publications · 20 citations

    1

    h-index

  3. The Visual Computer

    1 publications · 14 citations

    1

    h-index

  4. 1

    h-index

  5. Water Science & Technology Water Supply

    1 publications · 13 citations

    1

    h-index

1–5