IEEE Transactions on Neural Networks and Learning Systems

Papers
(The H4-Index of IEEE Transactions on Neural Networks and Learning Systems is 114. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
IEEE Transactions on Neural Networks and Learning Systems Information for Authors3244
Table of Contents1643
IEEE Computational Intelligence Society Information1401
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning767
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks651
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder559
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials452
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance429
Altruistic Collaborative Learning395
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data340
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification337
Local Causal Discovery in Multiple Manipulated Datasets308
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks292
A Novel Formulation of Trace Ratio Linear Discriminant Analysis279
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning271
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP256
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation250
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production249
A Novel Generator With Auxiliary Branch for Improving GAN Performance246
Learning Sequential Variation Information for Dynamic Facial Expression Recognition242
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network231
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection230
Efficient Spiking Neural Networks With Radix Encoding229
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols224
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited221
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity221
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework216
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application208
Parameterized Luenberger-TypeH∞State Estimator for Delayed Static Neural Networks204
A Study on Truncated Newton Methods for Linear Classification198
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review197
Unsupervised Skill Discovery Through Skill Regions Differentiation193
PGFormer: A Prototype-Graph Transformer for Incomplete Multiview Clustering189
Deep Learning for Visual Localization and Mapping: A Survey186
Open Set Domain Adaptation via Joint Alignment and Category Separation185
A Weighted Heterogeneous Graph-Based Dialog System184
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes183
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data182
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation181
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods181
Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach180
IEEE Computational Intelligence Society180
Simple and Effective: Spatial Rescaling for Person Reidentification176
Subspace Clustering via Structured Sparse Relation Representation176
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks176
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network176
Learning Aligned Vertex Convolutional Networks for Graph Classification175
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal174
Domain Adaptation via Prompt Learning173
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation168
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach165
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory165
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment163
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization163
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation161
H ∞Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism160
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning154
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification152
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification152
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation152
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays151
Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the Seven-Point Checklist151
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario150
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks149
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series148
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection148
Theoretical Advances on Stochastic Configuration Networks147
Heterogeneous Multidomain Recommender System Through Adversarial Learning146
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation146
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks145
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System142
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance141
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication140
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning140
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning137
LFT: Neural Ordinary Differential Equations With Learnable Final-Time134
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions133
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks133
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance133
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches132
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment132
Attention-Based Real Image Restoration131
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network131
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays129
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion129
Evolving Memristive Reservoir129
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization128
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme128
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules127
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective127
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems126
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning126
Adaptive Weighted Ranking-Oriented Label Distribution Learning125
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model124
Exploring Dynamic Transformer for Efficient Object Tracking123
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems123
Deep Learning and Symbolic Regression for Discovering Parametric Equations122
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks122
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis121
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity121
Multiview Classification Through Learning From Interval-Valued Data120
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia120
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds119
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation118
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection118
Agglomerative Neural Networks for Multiview Clustering117
Inverse Reinforcement Learning for Adversarial Apprentice Games116
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application116
Rethinking Pretraining as a Bridge From ANNs to SNNs115
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt114
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks114
Wormhole Dynamics in Deep Neural Networks114
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications114
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs114
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