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Neural Networks : Impact Factor & More

eISSN: 1879-2782pISSN: 0893-6080

Aims and Scope of Neural Networks

Neural Networks is a monthly peer-reviewed scientific journal and an official journal of the International Neural Network Society, European Neural Network Society, and Japanese Neural Network Society. It was established in 1988 and is published by Elsevier. The journal covers all aspects of research on artificial neural networks. The founding editor-in-chief was Stephen Grossberg (Boston University), the current editors-in-chief are DeLiang Wang (Ohio State University) and Kenji Doya (Okinawa Institute of Science and Technology). The journal is abstracted and indexed in Scopus and the Science Citation Index. According to the Journal Citation Reports, the journal has a 2016 impact factor of 5.287. Less

Key Metrics

CiteScore
13.1
Eigenfactor
0.01 - 0.05
H-Index
164
Impact Factor
5 - 10
SJR
Q1Cognitive Neuroscience
SNIP
2.81
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Topics Covered on Neural Networks

Neural Networks Journal Specifications

Overview
Publisher PERGAMON-ELSEVIER SCIENCE LTD
Language English
Frequency Monthly
General Details
LanguageEnglish
FrequencyMonthly
Publication Start Year1988
Publisher URLVisit website
Website URLVisit website
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Recently Published Papers in Neural Networks

Rotation equivariant quantum graph neural networks with trainable compression encoder and entanglement-enhanced aggregation.
  • 1 Jun 2026
  • Neural networks : the official journal of the International Neural Network Society
Graph-Agnostic Linear Transformers.
  • 1 Jun 2026
  • Neural networks : the official journal of the International Neural Network Society
Multi-Source Temporal-Depth fusion for robust end-to-End visual odometry.
  • 1 Jun 2026
  • Neural networks : the official journal of the International Neural Network Society
Adversarial contrastive with leveraging negative knowledge for point of interest sequence learning.
  • 1 Jun 2026
  • Neural networks : the official journal of the International Neural Network Society
Adaptive dynamic spatial-temporal graph convolutional neural network for traffic flow prediction.
  • 1 Jun 2026
  • Neural networks : the official journal of the International Neural Network Society
FluidFormer : Transformer with continuous convolution for particle-based fluid simulation.
  • 1 Jun 2026
  • Neural networks : the official journal of the International Neural Network Society
Rotation equivariant quantum graph neural networks with trainable compression encoder and entanglement-enhanced aggregation.
  • 1 Jun 2026
  • Neural networks : the official journal of the International Neural Network Society
Graph-Agnostic Linear Transformers.
  • 1 Jun 2026
  • Neural networks : the official journal of the International Neural Network Society
Multi-Source Temporal-Depth fusion for robust end-to-End visual odometry.
  • 1 Jun 2026
  • Neural networks : the official journal of the International Neural Network Society
Adversarial contrastive with leveraging negative knowledge for point of interest sequence learning.
  • 1 Jun 2026
  • Neural networks : the official journal of the International Neural Network Society
Adaptive dynamic spatial-temporal graph convolutional neural network for traffic flow prediction.
  • 1 Jun 2026
  • Neural networks : the official journal of the International Neural Network Society
FluidFormer : Transformer with continuous convolution for particle-based fluid simulation.
  • 1 Jun 2026
  • Neural networks : the official journal of the International Neural Network Society

FAQs on Neural Networks