Edge Data Processing

Edge Data Processing is a data processing paradigm in edge computing that performs the acquisition, filtering, analysis, and transformation of data at or near distributed edge devices or edge nodes, rather than in centralized cloud infrastructures, in order to minimize latency, bandwidth consumption, and dependence on remote resources.

742

Publications

58.8K

Citations

2.8K

Authors

931

Institutions

Publications per year

2017–2026

684

Authors

2.8K

  1. WS
    Weisong Shi

    Wayne State University, United States

    12 publications · 10.4K citations

    12

    h-index

  2. ZL
    Zhihan Lv

    Qingdao University, China

    7 publications · 783 citations

    7

    h-index

  3. XC
    Xu Chen

    Sun Yat-sen University, China

    6 publications · 3.8K citations

    6

    h-index

  4. RD
    Rustem Dautov

    University of Messina, Italy

    6 publications · 174 citations

    6

    h-index

  5. SD
    Salvatore Distefano

    University of Messina, Italy

    6 publications · 174 citations

    6

    h-index

1–5 of 2.8K

Venues

  1. IEEE Access

    49 publications · 7.3K citations

    34

    h-index

  2. IEEE Internet of Things Journal

    49 publications · 12.9K citations

    34

    h-index

  3. Sensors

    18 publications · 895 citations

    16

    h-index

  4. arXiv (Cornell University)

    Repository · 16 publications · 702 citations

    12

    h-index

  5. IEEE Network

    12 publications · 1K citations

    12

    h-index

1–5