Cross-filtering

Cross-Filtering is an interactive filtering technique that enables the selective highlighting or exclusion of data points across multiple linked visualizations by propagating filter constraints from one view to others, thereby enabling coordinated exploration of multidimensional datasets.

8

Publications

472

Citations

24

Authors

12

Institutions

Publications per year

2017–2026

2

Authors

24

  1. CW
    Chris Weaver

    The University of Texas at Arlington, United States

    2 publications · 94 citations

    2

    h-index

  2. HZ
    Haiyan Zhao

    Peking University, China

    1 publications · 13 citations

    1

    h-index

  3. QC
    Qingkui Chen

    University of Shanghai for Science and Technology, China

    1 publications · 13 citations

    1

    h-index

  4. JL
    Jiangbo Lu

    Shaanxi Normal University, China

    1 publications · 150 citations

    1

    h-index

  5. KS
    Keyang Shi

    Sun Yat-sen University, China

    1 publications · 150 citations

    1

    h-index

1–5 of 24

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 65 citations

    1

    h-index

  2. Bioacoustics

    1 publications · 20 citations

    1

    h-index

  3. IEEE Intelligent Systems

    1 publications · 13 citations

    1

    h-index

  4. BMC Bioinformatics

    1 publications · 66 citations

    1

    h-index

1–4