Annotation Retrieval

Annotation Retrieval is a methodological framework within visualization research that systematically identifies and extracts relevant annotations from visual representations or associated datasets based on specified criteria, distinguishing it from broader annotation management by its focused objective of targeted recovery and localization.

22

Publications

1.3K

Citations

95

Authors

41

Institutions

Publications per year

2017–2026

2

Authors

95

  1. JZ
    Jianke Zhu

    Zhejiang University, China

    2 publications · 91 citations

    2

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  2. SC
    Steven C. H. Hoi

    Nanyang Technological University, Singapore

    2 publications · 91 citations

    2

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  3. CW
    Changhu Wang

    Microsoft Research Asia (China), China

    2 publications · 236 citations

    2

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  4. YH
    Ying He

    Nanyang Technological University, Singapore

    2 publications · 91 citations

    2

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  5. LZ
    Lei Zhang

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 339 citations

    2

    h-index

1–5 of 95

Venues

  1. Bioinformatics

    2 publications · 53 citations

    2

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  2. 1

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  3. BMC Bioinformatics

    1 publications · 199 citations

    1

    h-index

  4. Journal of the American Society for Information Science

    JASIS · 1 publications · 12 citations

    1

    h-index

  5. Multimedia Tools and Applications

    1 publications · 20 citations

    1

    h-index

1–5