Industrial Edge Computing

Industrial Edge Computing is a distributed computing paradigm that extends edge computing capabilities into industrial environments by processing data near the source within industrial systems, thereby enabling real-time control, low-latency response, and secure, reliable operations specific to industrial applications such as manufacturing, energy, and automation.

294

Publications

19.4K

Citations

1.2K

Authors

499

Institutions

Publications per year

2017–2026

289

Authors

1.2K

  1. EO
    Emmanuel Oyekanlu

    Drexel University, United States

    6 publications · 130 citations

    6

    h-index

  2. HS
    Houbing Song

    Embry–Riddle Aeronautical University, United States

    4 publications · 436 citations

    4

    h-index

  3. ZL
    Zhihan Lv

    Qingdao University, China

    4 publications · 324 citations

    4

    h-index

  4. NS
    Nikola Suzić

    University of Novi Sad, Serbia

    3 publications · 177 citations

    3

    h-index

  5. AR
    Aleksandar Rikalović

    University of Novi Sad, Serbia

    3 publications · 177 citations

    3

    h-index

1–5 of 1.2K

Venues

  1. IEEE Transactions on Industrial Informatics

    33 publications · 2.8K citations

    28

    h-index

  2. IEEE Internet of Things Journal

    21 publications · 2.1K citations

    19

    h-index

  3. Sensors

    13 publications · 657 citations

    13

    h-index

  4. IEEE Access

    14 publications · 916 citations

    13

    h-index

  5. Applied Sciences

    9 publications · 365 citations

    9

    h-index

1–5