Key Metrics
CiteScore 

20.8
H-Index 

234
Impact Factor 

10 - 15
SJR 

Q1Software

SNIP 

3.31
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Topics Covered on IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Neural Networks and Learning Systems Journal Specifications
| Overview | |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Language | English |
| Frequency | Monthly |
| General Details |
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Recently Published Papers in IEEE Transactions on Neural Networks and Learning Systems
MALFM-Captioner: A Multipath Alignment Learning for Image Captioning With Feature Mask.
- 19 May 2026
- IEEE transactions on neural networks and learning systems
Intrinsic Value-Aligned Policy Optimization for Offline-to-Online Reinforcement Learning.
- 19 May 2026
- IEEE transactions on neural networks and learning systems
Fourier-Net+: Band-Limited Spatial Representation for Efficient Medical Image Registration.
- 19 May 2026
- IEEE transactions on neural networks and learning systems
Recovering Reward Functions From Distributed Expert Demonstrations via Bi-Level Maximum-Likelihood Optimization.
- 19 May 2026
- IEEE transactions on neural networks and learning systems
Toward Privacy Preservation in Federated Learning: A Framework Integrating Client-Side Shuffling and Model Compression.
- 18 May 2026
- IEEE transactions on neural networks and learning systems
Data-Driven Output Feedback Control for Unknown Piecewise Affine Systems.
- 15 May 2026
- IEEE transactions on neural networks and learning systems
MALFM-Captioner: A Multipath Alignment Learning for Image Captioning With Feature Mask.
- 19 May 2026
- IEEE transactions on neural networks and learning systems
Intrinsic Value-Aligned Policy Optimization for Offline-to-Online Reinforcement Learning.
- 19 May 2026
- IEEE transactions on neural networks and learning systems
Fourier-Net+: Band-Limited Spatial Representation for Efficient Medical Image Registration.
- 19 May 2026
- IEEE transactions on neural networks and learning systems
Recovering Reward Functions From Distributed Expert Demonstrations via Bi-Level Maximum-Likelihood Optimization.
- 19 May 2026
- IEEE transactions on neural networks and learning systems
Toward Privacy Preservation in Federated Learning: A Framework Integrating Client-Side Shuffling and Model Compression.
- 18 May 2026
- IEEE transactions on neural networks and learning systems
Data-Driven Output Feedback Control for Unknown Piecewise Affine Systems.
- 15 May 2026
- IEEE transactions on neural networks and learning systems