Neural Networks

Neural Networks is a class of machine learning and statistical learning models that approximate complex, typically non-linear mappings between inputs and outputs using networks of interconnected simple processing units (“neurons”) whose connection weights are learned from data.

95.6K

Publications

8.5M

Citations

187.4K

Authors

14.6K

Institutions

Publications per year

2017–2026

51.9K

Authors

187.4K

  1. YB
    Yoshua Bengio

    Université de Montréal, Canada

    268 publications · 178.7K citations

    112

    h-index

  2. JC
    Jinde Cao

    Southeast University, China

    498 publications · 37.2K citations

    109

    h-index

  3. GE
    Geoffrey E. Hinton

    University of Toronto, Canada

    116 publications · 282.4K citations

    89

    h-index

  4. JW
    Jun Wang

    Chinese University of Hong Kong, Hong Kong SAR China

    170 publications · 19.7K citations

    78

    h-index

  5. ZZ
    Zhigang Zeng

    Huazhong University of Science and Technology, China

    170 publications · 13.7K citations

    72

    h-index

1–5 of 187.4K

Venues

  1. arXiv (Cornell University)

    Repository · 7.5K publications · 948.3K citations

    361

    h-index

  2. IEEE Transactions on Neural Networks

    1.4K publications · 219.5K citations

    200

    h-index

  3. Neural Networks

    1.7K publications · 206.9K citations

    171

    h-index

  4. 154

    h-index

  5. Neural Computation

    859 publications · 262.5K citations

    145

    h-index

1–5