Convolutional Neural Networks

Convolutional Neural Network is a type of feedforward neural network characterized by its use of learnable convolutional filters and shared weights to automatically detect hierarchical spatial patterns in grid-structured data, particularly imagery.

61.5K

Publications

5.7M

Citations

174.5K

Authors

14.1K

Institutions

Publications per year

2017–2026

56K

Authors

174.5K

  1. XW
    Xiaogang Wang

    European Organization for Nuclear Research, Switzerland

    65 publications · 30.1K citations

    51

    h-index

  2. MY
    Ming–Hsuan Yang

    University of California, Merced, United States

    67 publications · 20.5K citations

    47

    h-index

  3. LJ
    Licheng Jiao

    Xidian University, China

    83 publications · 6.1K citations

    46

    h-index

  4. CS
    Chunhua Shen

    The University of Adelaide, Australia

    83 publications · 16.7K citations

    46

    h-index

  5. YZ
    Yudong Zhang

    University of Leicester, United Kingdom

    70 publications · 6.6K citations

    44

    h-index

1–5 of 174.5K

Venues

  1. arXiv (Cornell University)

    Repository · 4.4K publications · 595K citations

    281

    h-index

  2. IEEE Access

    2.6K publications · 163K citations

    169

    h-index

  3. IEEE Transactions on Geoscience and Remote Sensing

    795 publications · 92.6K citations

    147

    h-index

  4. Remote Sensing

    1.2K publications · 73K citations

    122

    h-index

  5. IEEE Transactions on Image Processing

    384 publications · 65.1K citations

    120

    h-index

1–5