Mobile Sensing

Mobile Sensing is a mobile computing paradigm that involves the systematic collection and analysis of environmental, contextual, or behavioral data through sensors embedded in or connected to mobile devices, distinguished by its reliance on the mobility, ubiquity, and sensing capabilities of portable systems to enable real-time, user-centric, and location-aware data acquisition.

13.8K

Publications

770.6K

Citations

35.6K

Authors

5K

Institutions

Publications per year

2017–2026

5.9K

Authors

35.6K

  1. DZ
    Daqing Zhang

    Peking University, China

    54 publications · 6.4K citations

    40

    h-index

  2. ND
    Nicholas D. Lane

    University of Cambridge, United Kingdom

    56 publications · 11.7K citations

    39

    h-index

  3. AT
    Andrew T. Campbell

    Dartmouth College, United States

    48 publications · 9.9K citations

    37

    h-index

  4. YC
    Yingying Chen

    Rutgers, The State University of New Jersey, United States

    59 publications · 5.2K citations

    37

    h-index

  5. YL
    Yunhao Liu

    Tsinghua University, China

    44 publications · 9K citations

    32

    h-index

1–5 of 35.6K

Venues

  1. IEEE Transactions on Mobile Computing

    TMCCI · 306 publications · 20.6K citations

    81

    h-index

  2. Sensors

    598 publications · 29K citations

    79

    h-index

  3. IEEE Internet of Things Journal

    249 publications · 13.9K citations

    65

    h-index

  4. IEEE Sensors Journal

    219 publications · 12.7K citations

    60

    h-index

  5. IEEE Access

    240 publications · 14.6K citations

    58

    h-index

1–5