Event Burst Analysis

Event Burst Analysis is a computational method within event detection that identifies and analyzes sudden, significant increases in the frequency or intensity of event occurrences over time to distinguish salient or anomalous temporal patterns from background activity.

19

Publications

996

Citations

1.1K

Authors

203

Institutions

Publications per year

2017–2026

6

Authors

1.1K

  1. HY
    Hongfei Yan

    Peking University, China

    2 publications · 34 citations

    2

    h-index

  2. BS
    Baihan Shu

    Peking University, China

    2 publications · 34 citations

    2

    h-index

  3. AK
    Adrian Ka-Wai Chung

    University of Illinois Urbana-Champaign, United States

    1 publications · 178 citations

    1

    h-index

  4. KA
    K. Arai

    California Institute of Technology, United States

    1 publications · 178 citations

    1

    h-index

  5. MB
    M. Bazzan

    University of Padua, Italy

    1 publications · 178 citations

    1

    h-index

1–5 of 1.1K

Venues

  1. Online Information Review

    1 publications · 29 citations

    1

    h-index

  2. Journal of Fluid Mechanics

    1 publications · 323 citations

    1

    h-index

  3. Physical review. D/Physical review. D.

    PRD · 1 publications · 178 citations

    1

    h-index

  4. Developmental Neurorehabilitation

    1 publications · 22 citations

    1

    h-index

  5. Companion Proceedings of the Web Conference 2020

    Conference · 1 publications · 18 citations

    1

    h-index

1–5