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Neural Networks and Applications

TopicLeading institutions, researchers & key papers

This cluster of papers covers a wide range of topics related to neural networks, including backpropagation learning, self-organizing maps, radial basis function networks, deep learning, and applications such as pattern classification and function approximation.

253,068
Works
4,460,390
Citations
How has Neural Networks and Applications's publication output changed over time?
ScholarIQpublication output · 1986–2015

Output declined50% over the shown period — from 2 works in 1986 to 1 in 2015.

2
1
3
1
1
2
1
1
1
1
1986198919951997199820012003200520062015
What are the most-cited papers on Neural Networks and Applications?
ScholarIQmost cited works
Random Forests
Leo Breiman
Machine Learning. 2001127,935 CitationsOPEN ACCESS
Long Short-Term Memory
Sepp Hochreiter, Jürgen Schmidhuber
Neural Computation. 199799,233 Citations
Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
Fred S. Guthery, Kenneth P. Burnham, David Anderson
Journal of Wildlife Management. 200342,187 CitationsOPEN ACCESS
Support-vector networks
Corinna Cortes, Vladimir Vapnik
Machine Learning. 199540,620 CitationsOPEN ACCESS
The Nature of Statistical Learning Theory
Vladimir Vapnik
199539,324 Citations
Where is Neural Networks and Applications research published, and who funds it?
ScholarIQvenues & funding sources
TOP FUNDERS
National Science Foundation
NIH
Wellcome Trust
European Research Council
Funder breakdown is a member featureSign up free to unlock
How much of the research on Neural Networks and Applications is open access?
ScholarIQopen access share
53%OPEN ACCESS
Gold
0%
Green
20%
Hybrid
7%
Bronze
27%
Closed
47%
Who collaborates most closely around Neural Networks and Applications?
ScholarIQco-authorship network
United States
56%
France
22%
Austria
11%
Italy
11%
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