Edge Artificial Intelligence

Edge Artificial Intelligence is a distributed computing paradigm within artificial intelligence and edge computing that executes machine learning models and inference directly on or near data-generating edge devices, thereby decentralising computation from cloud or central data centres to achieve low-latency, context-aware, and real-time data processing.

2.7K

Publications

153.4K

Citations

8.3K

Authors

1.8K

Institutions

Publications per year

2017–2026

2.7K

Authors

8.3K

  1. DN
    Dusit Niyato

    Nanyang Technological University, Singapore

    35 publications · 4.2K citations

    30

    h-index

  2. MC
    Meng‐Fan Chang

    National Tsing Hua University, Taiwan

    28 publications · 4.1K citations

    27

    h-index

  3. KH
    Kaibin Huang

    University of Hong Kong, Hong Kong SAR China

    26 publications · 2.8K citations

    23

    h-index

  4. GZ
    Guangxu Zhu

    Shenzhen Research Institute of Big Data, China

    24 publications · 2.4K citations

    19

    h-index

  5. ZX
    Zehui Xiong

    Nanyang Technological University, Singapore

    23 publications · 2.2K citations

    19

    h-index

1–5 of 8.3K

Venues

  1. IEEE Internet of Things Journal

    126 publications · 10.2K citations

    48

    h-index

  2. IEEE Access

    96 publications · 5.1K citations

    41

    h-index

  3. arXiv (Cornell University)

    Repository · 124 publications · 7.2K citations

    37

    h-index

  4. IEEE Transactions on Industrial Informatics

    46 publications · 3.8K citations

    33

    h-index

  5. IEEE Transactions on Mobile Computing

    TMCCI · 39 publications · 2.2K citations

    31

    h-index

1–5