Mobile Crowdsensing

Mobile Crowdsensing is a participatory data collection paradigm in which mobile devices carried by individuals are leveraged to opportunistically or actively gather sensor data from the environment, distinguished from other mobile sensing approaches by its reliance on human mobility and voluntary user participation to achieve large-scale, distributed sensing tasks.

790

Publications

45.4K

Citations

2.1K

Authors

697

Institutions

Publications per year

2017–2026

568

Authors

2.1K

  1. JW
    Jie Wu

    Temple University, United States

    25 publications · 1.5K citations

    21

    h-index

  2. EW
    En Wang

    Jilin University, China

    23 publications · 1.1K citations

    19

    h-index

  3. BK
    Burak Kantarcı

    University of Ottawa, Canada

    21 publications · 1.3K citations

    19

    h-index

  4. BG
    Bin Guo

    Northwestern Polytechnical University, China

    18 publications · 1.4K citations

    18

    h-index

  5. LW
    Leye Wang

    Peking University, China

    19 publications · 2.2K citations

    18

    h-index

1–5 of 2.1K

Venues

  1. IEEE Transactions on Mobile Computing

    TMCCI · 65 publications · 4.6K citations

    43

    h-index

  2. IEEE Internet of Things Journal

    69 publications · 3.1K citations

    32

    h-index

  3. IEEE Communications Magazine

    27 publications · 4.4K citations

    21

    h-index

  4. IEEE Transactions on Vehicular Technology

    21 publications · 1.1K citations

    18

    h-index

  5. IEEE Access

    25 publications · 2K citations

    17

    h-index

1–5