Embedding Visualization

Embedding Visualization is a computational technique that maps high-dimensional data into a lower-dimensional space while preserving structural relationships, enabling interpretable visual representations of latent patterns inherent in complex datasets.

22

Publications

1.1K

Citations

69

Authors

32

Institutions

Publications per year

2017–2026

13

Authors

69

  1. JZ
    Jiawei Zhang

    University of California, Davis, United States

    1 publications · 12 citations

    1

    h-index

  2. YW
    Yiwei Wu

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 31 citations

    1

    h-index

  3. DW
    Daniel Witschard

    Linköping University, Sweden

    1 publications · 28 citations

    1

    h-index

  4. CL
    Chenhui Li

    East China Normal University, China

    1 publications · 71 citations

    1

    h-index

  5. AK
    Andreas Kerren

    Linnaeus University, Sweden

    1 publications · 28 citations

    1

    h-index

1–5 of 69

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 114 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 188 citations

    2

    h-index

  3. Computer Graphics Forum

    2 publications · 63 citations

    2

    h-index

  4. 1

    h-index

  5. Journal of eScience Librarianship

    JESLIB · 1 publications · 19 citations

    1

    h-index

1–5