IEEE Transactions on Neural Networks and Learning Systems

Papers
(The H4-Index of IEEE Transactions on Neural Networks and Learning Systems is 126. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
IEEE Transactions on Neural Networks and Learning Systems Information for Authors4357
Table of Contents1084
IEEE Computational Intelligence Society Information901
Altruistic Collaborative Learning821
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data737
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP508
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials489
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication456
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity455
Stochastically Controlled Compositional Gradient for Composition Problems449
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation391
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production364
IEEE Computational Intelligence Society314
Wormhole Dynamics in Deep Neural Networks305
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization295
Reinforcement Learning-Based Cooperative Control for Nonlinear Multiagent System With State and Control Input Constraints and Guaranteed Convergence Performance293
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks288
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks279
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks278
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment273
Rethinking Pretraining as a Bridge From ANNs to SNNs271
Attention-Based Real Image Restoration268
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks266
Attribute–Topology Cross-Frequency Aligned Graph Neural Networks for Homophilic and Heterophilic Graphs in Node Classification259
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection258
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme250
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays249
Neural Architecture Search With Spatial–Spectral Attention for Higher-Order Nonlinear Hyperspectral Unmixing246
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds224
Efficient Spiking Neural Networks With Radix Encoding224
Gauss–Newton Temporal Difference Learning With Nonlinear Function Approximation221
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning219
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder217
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network216
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification215
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance212
Unsupervised Skill Discovery Through Skill Regions Differentiation210
PGFormer: A Prototype-Graph Transformer for Incomplete Multiview Clustering209
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions208
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays207
A Weighted Heterogeneous Graph-Based Dialog System205
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness205
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification201
Multiview Classification Through Learning From Interval-Valued Data201
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules199
Butterfly Residual Network: A Hybrid Approach With Spectral Transformers and Depth-Wise Convolutions for Hyperspectral Image Super-Resolution197
Theoretical Advances on Stochastic Configuration Networks194
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks194
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods194
D2Vformer: A Flexible Time-Series Prediction Model Based on Time-Position Embedding191
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis184
Population Historical Information-Driven Evolutionary Multitask Neural Architecture Search184
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications184
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation184
Learning Sequential Variation Information for Dynamic Facial Expression Recognition177
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework177
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning176
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols175
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning174
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning172
Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the Seven-Point Checklist168
S 2 FS: Spatially-Aware Separability-Driven Feature Selection in Fuzzy Decision Systems168
Exploring Dynamic Transformer for Efficient Object Tracking166
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data165
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance165
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity165
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation164
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation163
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application163
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification161
Evolving Memristive Reservoir161
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation161
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling159
Context-Aware Learning and Pattern Decomposition for Temporal Knowledge Graph Reasoning157
Federated Generalized Face Presentation Attack Detection157
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation155
Learning External Point-Set Context for Point Cloud Segmentation155
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network155
A Novel Formulation of Trace Ratio Linear Discriminant Analysis154
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization154
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection153
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia153
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series153
Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach151
Deep Learning and Symbolic Regression for Discovering Parametric Equations150
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario150
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications149
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation147
A Novel Generator With Auxiliary Branch for Improving GAN Performance147
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited147
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion146
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs146
Learning Aligned Vertex Convolutional Networks for Graph Classification146
Open Set Domain Adaptation via Joint Alignment and Category Separation145
Adaptive Weighted Ranking-Oriented Label Distribution Learning145
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning144
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection142
Rethinking Topic Modeling With Information Bottleneck Principle141
Exploiting Scale-Variant Attention for Segmenting Small Medical Objects141
Subspace Clustering via Structured Sparse Relation Representation140
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System140
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach139
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory138
H ∞Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism138
Domain Adaptation via Prompt Learning136
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation136
Scalable and Efficient Deep Reinforcement Learning-Based Model Checker for Computation Tree Logic136
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment135
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review135
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults133
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches133
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks131
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks131
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network130
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification130
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives130
Deep Learning for Visual Localization and Mapping: A Survey129
Heterogeneous Multidomain Recommender System Through Adversarial Learning128
Local Causal Discovery in Multiple Manipulated Datasets128
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt128
Spectral Embedding Representation Based on Random Anchor Graph Aggregation128
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection128
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis127
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems127
LFT: Neural Ordinary Differential Equations With Learnable Final-Time126
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks126
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal126
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter126
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