Sensor-based Surveillance

Sensor-Based Surveillance is a monitoring approach within public health surveillance systems that utilizes data captured automatically by electronic sensors to detect and track disease outbreaks or health-related events in real time.

182

Publications

7.2K

Citations

641

Authors

278

Institutions

Publications per year

2017–2026

69

Authors

641

  1. LB
    Luca Benini

    University of Bologna, Italy

    3 publications · 115 citations

    3

    h-index

  2. PW
    Peng‐Jun Wan

    Illinois Institute of Technology, United States

    3 publications · 143 citations

    3

    h-index

  3. HL
    Hai Liu

    Hong Kong Baptist University, Hong Kong SAR China

    3 publications · 130 citations

    3

    h-index

  4. KE
    Kostas E. Psannis

    University of Macedonia, Greece

    3 publications · 102 citations

    3

    h-index

  5. XJ
    Xiaohua Jia

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 143 citations

    3

    h-index

1–5 of 641

Venues

  1. Sensors

    6 publications · 132 citations

    6

    h-index

  2. The Journal of Supercomputing

    4 publications · 139 citations

    4

    h-index

  3. 4

    h-index

  4. IEEE Access

    2 publications · 280 citations

    2

    h-index

  5. IEEE Sensors Journal

    2 publications · 60 citations

    2

    h-index

1–5