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
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14.6K
Institutions
Publications per year
2017–2026
51.9K
Variants
AnnArtificial Neural Networks
95.6K
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text
Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio et al. · Proceedings of the IEEE · 1998 · 58.2K citations · Full text
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14.6K
Google (United States)
Mountain View, United States
173 h-index
2.2K publications
1.2M citations
Massachusetts Institute of Technology
Cambridge, United States
171 h-index
1.8K publications
356.9K citations
Stanford University
Stanford, United States
170 h-index
2K publications
756K citations
Carnegie Mellon University
Pittsburgh, United States
141 h-index
1.3K publications
213.9K citations
Tsinghua University
Beijing, China
137 h-index
2.9K publications
295.1K citations
University of California, Berkeley
Berkeley, United States
136 h-index
1.4K publications
440.9K citations

University of Toronto
Toronto, Canada
128 h-index
978 publications
737.9K citations

Southeast University
Nanjing, China
126 h-index
1.8K publications
127.1K citations
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Repository · 7.5K publications · 948.3K citations
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1.4K publications · 219.5K citations
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1.7K publications · 206.9K citations
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1.1K publications · 102.5K citations
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859 publications · 262.5K citations
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