Sequence Trace Visualization

Sequence Trace Visualization is a methodological framework within sequence visualization that specifically enables the graphical representation and analysis of individual execution paths or temporal trajectories in sequential data, distinguishing itself by focusing on the detailed, instance-level progression of states or events over time.

15

Publications

1.3K

Citations

62

Authors

21

Institutions

Publications per year

2017–2026

3

Authors

62

  1. KN
    Kunihiro Noda

    Nagoya University, Japan

    2 publications · 25 citations

    2

    h-index

  2. TK
    Takashi Kobayashi

    NTT Basic Research Laboratories, Japan

    2 publications · 25 citations

    2

    h-index

  3. TI
    Takashi Ishio

    The University of Osaka, Japan

    2 publications · 49 citations

    2

    h-index

  4. YW
    Yui Watanabe

    University Health Network, Canada

    2 publications · 49 citations

    2

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  5. KI
    Katsuro Inoue

    The University of Osaka, Japan

    2 publications · 49 citations

    2

    h-index

1–5 of 62

Venues

  1. Bioinformatics

    1 publications · 31 citations

    1

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  2. Computers in Human Behavior

    1 publications · 20 citations

    1

    h-index

  3. Information Visualization

    1 publications · 10 citations

    1

    h-index

  4. Briefings in Bioinformatics

    1 publications · 219 citations

    1

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 216 citations

    1

    h-index

1–5