Neural Network Modeling

Neural Network Modeling is a computational modeling approach within network modeling that employs interconnected layers of artificial neurons to simulate complex nonlinear relationships and learn hierarchical representations from data.

34.2K

Publications

1.7M

Citations

99.3K

Authors

10.6K

Institutions

Publications per year

2017–2026

16.3K

Variants

Artificial Neural Network Modeling

Authors

99.3K

  1. MA
    Muhammad Asif Zahoor Raja

    COMSATS University Islamabad, Pakistan

    62 publications · 3K citations

    34

    h-index

  2. AE
    Ahmed El‐Shafie

    University of Malaya, Malaysia

    39 publications · 1.8K citations

    29

    h-index

  3. QZ
    Qi‐Jun Zhang

    Carleton University, Canada

    45 publications · 3.3K citations

    28

    h-index

  4. YZ
    Yunong Zhang

    Sun Yat-sen University, China

    55 publications · 3.1K citations

    28

    h-index

  5. MH
    Mohammad Hemmat Esfe

    Imam Hossein University, Iran

    29 publications · 2.7K citations

    25

    h-index

1–5 of 99.3K

Venues

  1. IEEE Transactions on Neural Networks

    315 publications · 57.5K citations

    101

    h-index

  2. arXiv (Cornell University)

    Repository · 653 publications · 52K citations

    96

    h-index

  3. Expert Systems with Applications

    180 publications · 16.4K citations

    64

    h-index

  4. Neural Networks

    200 publications · 26.8K citations

    62

    h-index

  5. IEEE Access

    321 publications · 16K citations

    56

    h-index

1–5