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
Variants
CnnCnn ModelsCnnsConvnetsConvolutional Neural Network Models
61.5K
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2023 · 76.3K citations · Full text
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
1–5 of 61.5K
174.5K
European Organization for Nuclear Research, Switzerland
65 publications · 30.1K citations
51
h-index
47
h-index
46
h-index
46
h-index
44
h-index
1–5 of 174.5K
14.1K

Chinese Academy of Sciences
Beijing, China
167 h-index
4.8K publications
444.1K citations
Tsinghua University
Beijing, China
147 h-index
2.4K publications
332.7K citations
University of Chinese Academy of Sciences
Beijing, China
128 h-index
2.4K publications
204.4K citations
Stanford University
Stanford, United States
124 h-index
1.6K publications
300.9K citations
Wuhan University
Wuhan, China
121 h-index
2K publications
182.7K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
118 h-index
883 publications
273.7K citations
Google (United States)
Mountain View, United States
115 h-index
948 publications
1M citations

Harbin Institute of Technology
Harbin, China
108 h-index
1.5K publications
176K citations
1–8 of 14.1K
Repository · 4.4K publications · 595K citations
281
h-index
2.6K publications · 163K citations
169
h-index
795 publications · 92.6K citations
147
h-index
1.2K publications · 73K citations
122
h-index
384 publications · 65.1K citations
120
h-index
1–5