Sequence Graph Visualization

Sequence Graph Visualization is a computational visualization method that represents sequential data as a graph-based structure, where nodes denote sequence elements and edges capture transitional or relational patterns among them, enabling the analysis of structural and temporal characteristics in sequence datasets.

28

Publications

2.2K

Citations

76

Authors

60

Institutions

Publications per year

2017–2026

4

Authors

76

  1. GJ
    Geoffrey J. Barton

    University of Dundee, United Kingdom

    2 publications · 1.2K citations

    2

    h-index

  2. BL
    Bo Liao

    Hunan University, China

    2 publications · 69 citations

    2

    h-index

  3. OE
    Ozan Ersoy

    University of Groningen, Netherlands

    1 publications · 32 citations

    1

    h-index

  4. KD
    Kequan Ding

    Chinese Academy of Sciences, China

    1 publications · 43 citations

    1

    h-index

  5. FB
    Fabian Beck

    University of Stuttgart, Germany

    1 publications · 29 citations

    1

    h-index

1–5 of 76

Venues

  1. Journal of Biosciences

    2 publications · 106 citations

    2

    h-index

  2. 2

    h-index

  3. Chemical Physics Letters

    2 publications · 87 citations

    2

    h-index

  4. Bioinformatics

    2 publications · 92 citations

    2

    h-index

  5. Theoretical Computer Science

    1 publications · 43 citations

    1

    h-index

1–5