IEEE Transactions on Neural Networks and Learning Systems

Papers
(The H4-Index of IEEE Transactions on Neural Networks and Learning Systems is 105. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
IEEE Transactions on Neural Networks and Learning Systems Publication Information2237
Table of Contents1287
Table of Contents1086
IEEE Computational Intelligence Society Information756
Table of Contents636
Uncertainty-Guided Discriminative Priors Mining for Flexible Unsupervised Spectral Reconstruction547
FairXAI -A Taxonomy and Framework for Fairness and Explainability Synergy in Machine Learning503
Compressing Transfer: Mutual Learning-Empowered Knowledge Distillation for Temporal Knowledge Graph Reasoning451
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information439
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs415
IEEE Computational Intelligence Society Information380
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review363
Harmonic Fast One-Step Cut: An Efficient Strategy for Spectral Clustering Optimization284
DNRHP: Temporal Network Representation Learning via Hawkes Point Process276
Learning Decision Boundaries for Multidimensional Anomaly Detection235
Meta Learning Task Representation in Multiagent Reinforcement Learning: From Global Inference to Local Inference229
COPSRO: An Offline Empirical Game Theoretic Method With Conservative Critic225
Orthogonal Capsule Networks With Positional Information Preservation and Lightweight Feature Learning211
IEEE Transactions on Neural Networks and Learning Systems Publication Information210
Feature Correlation-Guided Knowledge Transfer for Federated Self-Supervised Learning209
Closed-Form Gaussian Spread Estimation for Small and Large Support Vector Classification205
Adaptive Critic Learning-Based Optimal Bipartite Consensus for Multiagent Systems With Prescribed Performance201
CSTS: Exploring Class-Specific and Task-Shared Embedding Representation for Few-Shot Learning201
CPST-GAN: Conditional Probabilistic State Transition Generative Adversarial Network With the Biomedical Large Foundation Models200
Smooth-Guided Implicit Data Augmentation for Domain Generalization199
Rethinking 3-D LiDAR Point Cloud Segmentation195
On Model of Recurrent Neural Network on a Time Scale: Exponential Convergence and Stability Research195
Use of Parallel Explanatory Models to Enhance Transparency of Neural Network Configurations for Cell Degradation Detection194
Attention-Based Real Image Restoration194
Intrinsic Consistency Preservation With Adaptively Reliable Samples for Source-Free Domain Adaptation193
Finite-Time Boundedness of Impulsive Delayed Reaction–Diffusion Stochastic Neural Networks181
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods179
A Novel Generator With Auxiliary Branch for Improving GAN Performance179
Few-Shot Face Stylization via GAN Prior Distillation173
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks168
HCL: A Hierarchical Contrastive Learning Framework for Zero-Shot Relation Extraction166
SAB Net: A Semantic Attention Boosting Framework for Semantic Segmentation158
Adaptive Neural Consensus Observer Networks Design for a Class of Semilinear Parabolic PDE Systems158
DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition157
GSSTU: Generative Spatial Self-Attention Transformer Unit for Enhanced Video Prediction156
Gradient Matching Federated Domain Adaptation for Brain Image Classification155
Automatic Sparse Connectivity Learning for Neural Networks153
Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing152
Predicting miRNA–Disease Associations Through Deep Autoencoder With Multiple Kernel Learning150
Adaptive Neural Control of Constrained MIMO Nonlinear Systems With Asymmetric Input Saturation and Dead Zone149
Hybrid Reinforcement Learning for Optimal Control of Non-Linear Switching System149
Reinforcement Learning Based Optimal Tracking Control Under Unmeasurable Disturbances With Application to HVAC Systems146
Hierarchical Organ-Aware Total-Body Standard-Dose PET Reconstruction From Low-Dose PET and CT Images145
Cycle-Refined Multidecision Joint Alignment Network for Unsupervised Domain Adaptive Hyperspectral Change Detection145
Diffusion Source Inference for Large-Scale Complex Networks Based on Network Percolation144
Table of Contents140
TryonCM2: Try-on-Enhanced Fashion Compatibility Modeling Framework140
IEEE Computational Intelligence Society Information140
Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications140
IEEE Computational Intelligence Society Information138
IEEE Transactions on Neural Networks and Learning Systems Information for Authors135
Structured Doubly Stochastic Graph-Based Clustering135
Deep Energy-Based Discrete-Time Physical Model for Reproducing Energetic Behavior134
Guest Editorial: Special Issue on Deep Learning for Intelligent Media Computing and Applications133
Low Latency Conversion of Artificial Neural Network Models to Rate-Encoded Spiking Neural Networks133
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance133
Cross-Cloud Consistency for Weakly Supervised Point Cloud Semantic Segmentation131
Adaptive Multistep Prediction With Sequence-to-Sequence (Seq2Seq) Models131
Differential Evolution Algorithm for Fast Gains Learning in a High-Gain Controller131
IEEE Computational Intelligence Society Information130
IEEE Transactions on Neural Networks and Learning Systems Information for Authors130
eVAE: Evolutionary Variational Autoencoder130
IEEE Computational Intelligence Society Information129
IEEE Computational Intelligence Society Information129
Table of Contents128
A Trustable Data-Driven Optimal Power Flow Computational Method With Robust Generalization Ability128
Denoising Multiscale Spectral Graph Wavelet Neural Networks for Gas Utilization Ratio Prediction in Blast Furnace127
Efficient Communication via Self-Supervised Information Aggregation for Online and Offline Multiagent Reinforcement Learning127
Wake-Sleep Consolidated Learning126
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis126
IEEE Computational Intelligence Society Information124
IEEE Transactions on Neural Networks and Learning Systems Publication Information124
2021 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 32122
IEEE Computational Intelligence Society Information121
Table of contents121
IEEE Computational Intelligence Society Information121
IEEE Transactions on Neural Networks and Learning Systems Publication Information120
IEEE Computational Intelligence Society Information118
Table of Contents117
Exploring Multiconnectivity and Subdivision Functions of Brain Network via Heterogeneous Graph Network for Cognitive Disorder Identification116
2023 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 34115
IEEE Computational Intelligence Society Information115
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays115
Relaxed Stability Criteria for Delayed Memristor-Based Neural Network Systems via a Novel Matrix-Separation Legendre Inequality115
IEEE Transactions on Neural Networks and Learning Systems Publication Information114
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario112
IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems112
SDN: Semantic Decoupling Network for Temporal Language Grounding111
Positive Consensus of Fractional-Order Multiagent Systems Over Directed Graphs111
Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control of Nonlinear Interconnected Systems With Unmodeled Dynamics and Prescribed Performance110
Slimming Neural Networks Using Adaptive Connectivity Scores110
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance109
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection109
End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery109
Hierarchical AttentionShift for Pointly Supervised Instance Segmentation108
Exploring Attention and Self-Supervised Learning Mechanism for Graph Similarity Learning107
Weird-Net: Weighted Relative Distance Attention for Efficient and Robust Sequence Processing107
Resisting Noise in Pseudo Labels: Audible Video Event Parsing With Evidential Learning105
On the Optimal Expressive Power of ReLU DNNs and Its Application in Approximation With the Kolmogorov Superposition Theorem105
Deep Reinforcement Learning for Load Shedding Against Short-Term Voltage Instability in Large Power Systems105
0.096667051315308