Crowdsensing

Crowdsensing is a mobile sensing paradigm in which data collection is performed by aggregating sensor measurements or observations from a large, decentralized group of human participants who voluntarily contribute their devices' sensing capabilities for a common purpose.

956

Publications

54.6K

Citations

2.5K

Authors

783

Institutions

Publications per year

2017–2026

666

Authors

2.5K

  1. JW
    Jie Wu

    Temple University, United States

    25 publications · 1.7K citations

    21

    h-index

  2. BG
    Bin Guo

    Northwestern Polytechnical University, China

    23 publications · 1.5K citations

    20

    h-index

  3. EW
    En Wang

    Jilin University, China

    23 publications · 1.1K citations

    20

    h-index

  4. BK
    Burak Kantarcı

    University of Ottawa, Canada

    20 publications · 1.3K citations

    18

    h-index

  5. LW
    Leye Wang

    Peking University, China

    19 publications · 2.2K citations

    18

    h-index

1–5 of 2.5K

Venues

  1. IEEE Transactions on Mobile Computing

    TMCCI · 71 publications · 5.1K citations

    44

    h-index

  2. IEEE Internet of Things Journal

    85 publications · 4.2K citations

    36

    h-index

  3. IEEE Communications Magazine

    32 publications · 5.3K citations

    26

    h-index

  4. IEEE Transactions on Vehicular Technology

    27 publications · 1.4K citations

    22

    h-index

  5. IEEE Access

    28 publications · 2.1K citations

    18

    h-index

1–5