Computational Infographics

Computational Infographics is a data-driven visual representation system that integrates algorithmic processing and design automation to generate dynamic, interactive, and semantically enriched graphics from complex datasets, distinguishing it from static or manually constructed infographics through its reliance on computational methods for both data interpretation and visual synthesis.

10

Publications

508

Citations

39

Authors

16

Institutions

Publications per year

2017–2026

4

Authors

39

  1. WC
    Weiwei Cui

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 160 citations

    2

    h-index

  2. LF
    Lei Fang

    Microsoft Research Asia (China), China

    2 publications · 160 citations

    2

    h-index

  3. MD
    Mira Dontcheva

    Adobe Systems (United States), United States

    2 publications · 43 citations

    2

    h-index

  4. JL
    Jian-Guan Lou

    University of California, Davis, United States

    2 publications · 160 citations

    2

    h-index

  5. ZL
    Zhicheng Liu

    Adobe Systems (United States), United States

    2 publications · 43 citations

    2

    h-index

1–5 of 39

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 54 citations

    3

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 149 citations

    1

    h-index

  3. 1

    h-index

  4. Scientific American

    1 publications · 11 citations

    1

    h-index

  5. Computer Graphics Forum

    1 publications · 14 citations

    1

    h-index

1–5