Data-driven Color Mapping

Data-Driven Color Mapping is a color mapping methodology that derives its color assignments directly from the statistical or structural properties of the underlying dataset, distinguishing itself from rule-based or perceptually guided approaches by prioritizing empirical data characteristics in the formation of visual encodings.

22

Publications

1.8K

Citations

84

Authors

30

Institutions

Publications per year

2017–2026

6

Authors

84

  1. TW
    Tien‐Tsin Wong

    Chinese University of Hong Kong, Hong Kong SAR China

    4 publications · 292 citations

    4

    h-index

  2. BW
    Baoyuan Wang

    Zhejiang University, China

    3 publications · 228 citations

    3

    h-index

  3. YY
    Yizhou Yu

    University of Hong Kong, Hong Kong SAR China

    3 publications · 228 citations

    3

    h-index

  4. CC
    Chun Chen

    Zhejiang University, China

    2 publications · 118 citations

    2

    h-index

  5. TY
    Tianhe Yu

    Stanford University, United States

    2 publications · 592 citations

    2

    h-index

1–5 of 84

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 206 citations

    3

    h-index

  2. ACM Transactions on Graphics

    TOG · 3 publications · 875 citations

    3

    h-index

  3. 2012 16th International Conference on Information Visualisation

    Conference · 1 publications · 29 citations

    1

    h-index

  4. Computer Graphics Forum

    1 publications · 193 citations

    1

    h-index

  5. KOPS (University of Konstanz)

    Repository · 1 publications · 38 citations

    1

    h-index

1–5