IEEE Transactions on Neural Networks and Learning Systems

Papers
(The H4-Index of IEEE Transactions on Neural Networks and Learning Systems is 122. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
IEEE Transactions on Neural Networks and Learning Systems Information for Authors4034
Table of Contents980
IEEE Computational Intelligence Society Information822
Altruistic Collaborative Learning699
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification601
Local Causal Discovery in Multiple Manipulated Datasets600
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity464
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection440
Stochastically Controlled Compositional Gradient for Composition Problems414
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation413
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production390
Open Set Domain Adaptation via Joint Alignment and Category Separation383
A Weighted Heterogeneous Graph-Based Dialog System355
IEEE Computational Intelligence Society329
Agglomerative Neural Networks for Multiview Clustering294
Attribute–Topology Cross-Frequency Aligned Graph Neural Networks for Homophilic and Heterophilic Graphs in Node Classification284
S 2 FS: Spatially-Aware Separability-Driven Feature Selection in Fuzzy Decision Systems284
Rethinking Topic Modeling With Information Bottleneck Principle279
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation266
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks264
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness262
Neural Architecture Search With Spatial–Spectral Attention for Higher-Order Nonlinear Hyperspectral Unmixing256
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays255
Spectral Embedding Representation Based on Random Anchor Graph Aggregation252
A Study on Truncated Newton Methods for Linear Classification248
LFT: Neural Ordinary Differential Equations With Learnable Final-Time233
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization233
Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the Seven-Point Checklist231
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks229
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks229
Reinforcement Learning-Based Cooperative Control for Nonlinear Multiagent System With State and Control Input Constraints and Guaranteed Convergence Performance227
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation221
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data217
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application216
Theoretical Advances on Stochastic Configuration Networks215
Attention-Based Real Image Restoration212
Learning Aligned Vertex Convolutional Networks for Graph Classification209
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis205
Context-Aware Learning and Pattern Decomposition for Temporal Knowledge Graph Reasoning200
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data200
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication200
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials198
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection190
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review190
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation188
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance187
A Novel Formulation of Trace Ratio Linear Discriminant Analysis185
Evolving Memristive Reservoir183
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification183
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection177
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion174
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity173
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis173
Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach173
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal172
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning172
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation172
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications172
Rethinking Pretraining as a Bridge From ANNs to SNNs170
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems169
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks169
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization166
Scalable and Efficient Deep Reinforcement Learning-Based Model Checker for Computation Tree Logic166
H ∞Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism165
Exploiting Scale-Variant Attention for Segmenting Small Medical Objects164
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches163
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network163
Learning Sequential Variation Information for Dynamic Facial Expression Recognition162
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited159
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection158
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives155
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach155
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application154
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme154
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter153
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment152
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems150
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks150
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols149
Exploring Dynamic Transformer for Efficient Object Tracking148
Efficient Spiking Neural Networks With Radix Encoding147
Deep Reinforcement Learning for Cyber Security146
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults146
Adaptive Weighted Ranking-Oriented Label Distribution Learning146
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network144
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications144
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning142
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning140
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder139
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification137
Wormhole Dynamics in Deep Neural Networks137
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions137
Population Historical Information-Driven Evolutionary Multitask Neural Architecture Search137
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays136
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework136
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory136
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP135
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series134
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning134
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation133
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model133
D2Vformer: A Flexible Time-Series Prediction Model Based on Time-Position Embedding132
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling132
A Novel Generator With Auxiliary Branch for Improving GAN Performance132
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks131
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment131
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods129
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds128
Deep Learning and Symbolic Regression for Discovering Parametric Equations128
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance127
Gauss–Newton Temporal Difference Learning With Nonlinear Function Approximation126
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario125
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning125
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation125
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification125
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System124
Multiview Classification Through Learning From Interval-Valued Data124
PGFormer: A Prototype-Graph Transformer for Incomplete Multiview Clustering123
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks123
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs122
Parameterized Luenberger-TypeH∞State Estimator for Delayed Static Neural Networks122
Butterfly Residual Network: A Hybrid Approach With Spectral Transformers and Depth-Wise Convolutions for Hyperspectral Image Super-Resolution122
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