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 2022-01-01 to 2026-01-01.)
ArticleCitations
IEEE Transactions on Neural Networks and Learning Systems Information for Authors3555
Table of Contents1749
IEEE Computational Intelligence Society Information833
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning701
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder574
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance534
Altruistic Collaborative Learning482
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification417
Local Causal Discovery in Multiple Manipulated Datasets377
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds363
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity336
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection321
Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach312
Stochastically Controlled Compositional Gradient for Composition Problems302
A Novel Formulation of Trace Ratio Linear Discriminant Analysis275
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning262
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation261
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production260
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols259
PGFormer: A Prototype-Graph Transformer for Incomplete Multiview Clustering248
Open Set Domain Adaptation via Joint Alignment and Category Separation246
A Weighted Heterogeneous Graph-Based Dialog System243
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods235
IEEE Computational Intelligence Society235
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning225
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification219
Theoretical Advances on Stochastic Configuration Networks210
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes209
Spectral Embedding Representation Based on Random Anchor Graph Aggregation209
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization206
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia202
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks201
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials199
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications194
Learning Sequential Variation Information for Dynamic Facial Expression Recognition194
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance193
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion191
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks190
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation188
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis185
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization185
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data184
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches183
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment183
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning182
Rethinking Pretraining as a Bridge From ANNs to SNNs179
A Study on Truncated Newton Methods for Linear Classification177
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection177
Agglomerative Neural Networks for Multiview Clustering175
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario172
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation172
Attention-Based Real Image Restoration168
Evolving Memristive Reservoir166
Butterfly Residual Network: A Hybrid Approach With Spectral Transformers and Depth-Wise Convolutions for Hyperspectral Image Super-Resolution160
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network159
Heterogeneous Multidomain Recommender System Through Adversarial Learning158
Population Historical Information-Driven Evolutionary Multitask Neural Architecture Search158
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model157
A Novel Generator With Auxiliary Branch for Improving GAN Performance155
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited155
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation155
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling153
Deep Learning and Symbolic Regression for Discovering Parametric Equations152
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays152
Wormhole Dynamics in Deep Neural Networks151
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network151
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme148
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach148
D2Vformer: A Flexible Time-Series Prediction Model Based on Time-Position Embedding148
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application148
Exploring Dynamic Transformer for Efficient Object Tracking146
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation146
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series142
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks142
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity141
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective140
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs140
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation139
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP139
Learning Aligned Vertex Convolutional Networks for Graph Classification139
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance138
LFT: Neural Ordinary Differential Equations With Learnable Final-Time137
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning136
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness134
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt134
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection133
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal132
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks132
Simple and Effective: Spatial Rescaling for Person Reidentification131
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks130
H ∞Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism130
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review129
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation129
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules128
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks128
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification128
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems127
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application126
Context-Aware Learning and Pattern Decomposition for Temporal Knowledge Graph Reasoning126
Subspace Clustering via Structured Sparse Relation Representation126
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives124
Adaptive Weighted Ranking-Oriented Label Distribution Learning124
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter121
Deep Learning for Visual Localization and Mapping: A Survey121
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System120
Federated Generalized Face Presentation Attack Detection120
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions119
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory119
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework119
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning119
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication118
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification117
Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the Seven-Point Checklist116
Inverse Reinforcement Learning for Adversarial Apprentice Games115
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment114
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