Hotspot Visualization

Hotspot Visualization is a computational representation method that distinguishes itself by spatially encoding aggregated disease incidence data to explicitly reveal geographic areas of statistically significant clustering, thereby enabling the interpretative identification of epidemiological hotspots.

33

Publications

849

Citations

148

Authors

54

Institutions

Publications per year

2017–2026

24

Authors

148

  1. TN
    Tsz Nam Chan

    Hong Kong Baptist University, Hong Kong SAR China

    3 publications · 43 citations

    3

    h-index

  2. LH
    Leong Hou U

    University of Macau, Macao SAR China

    3 publications · 43 citations

    3

    h-index

  3. JX
    Jianliang Xu

    Hong Kong Baptist University, Hong Kong SAR China

    2 publications · 21 citations

    2

    h-index

  4. YT
    Yuta Terasaka

    Japan Atomic Energy Agency, Japan

    2 publications · 33 citations

    2

    h-index

  5. PL
    Pak Lon Ip

    Hong Kong Baptist University, Hong Kong SAR China

    2 publications · 33 citations

    2

    h-index

1–5 of 148

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 43 citations

    3

    h-index

  2. Medical Science Monitor

    2 publications · 49 citations

    2

    h-index

  3. Journal of Nuclear Science and Technology

    JNST · 2 publications · 33 citations

    2

    h-index

  4. Discover Oncology

    1 publications · 13 citations

    1

    h-index

  5. 1

    h-index

1–5