Concepedia

Data-driven Flow Animation

Data-Driven Flow Animation is a computational framework that generates flow visualizations by integrating empirical data directly into the animation process to accurately represent dynamic fluid behaviors.

1

Publications

16

Citations

6

Authors

2

Institutions

Publications per year

2017–2026

0

Parents

Publications

1

1–1 of 1

Authors

6

  1. WS
    Wei-Lin Si

    Oregon State University, United States

    1 publications · 16 citations

    1

    h-index

  2. EZ
    Eugene Zhang

    Oregon State University, United States

    1 publications · 16 citations

    1

    h-index

  3. YL
    Yu‐Chi Lai

    National Taiwan University of Science and Technology, Taiwan

    1 publications · 16 citations

    1

    h-index

  4. CY
    Chih‐Yuan Yao

    National Taiwan University of Science and Technology, Taiwan

    1 publications · 16 citations

    1

    h-index

  5. BC
    Bo-An Chen

    National Taiwan University of Science and Technology, Taiwan

    1 publications · 16 citations

    1

    h-index

1–5 of 6

Institutions

2

  1. Oregon State University

    Corvallis, United States

    1 h-index

    1 publications

    16 citations

  2. National Taiwan University of Science and Technology

    Taipei, Taiwan

    1 h-index

    5 publications

    80 citations

1–2 of 2

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 16 citations

    1

    h-index

1–1