IEEE Transactions on Neural Networks and Learning Systems

Papers
(The H4-Index of IEEE Transactions on Neural Networks and Learning Systems is 98. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
A Comprehensive Survey on Graph Neural Networks4716
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects1431
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications991
A Survey of the Usages of Deep Learning for Natural Language Processing948
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI856
Deep Subdomain Adaptation Network for Image Classification602
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints462
Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints450
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks381
When Gaussian Process Meets Big Data: A Review of Scalable GPs380
Neural-Network-Based Event-Triggered Adaptive Control of Nonaffine Nonlinear Multiagent Systems With Dynamic Uncertainties376
Towards Personalized Federated Learning338
Learning From Noisy Labels With Deep Neural Networks: A Survey337
Attention in Natural Language Processing316
Adaptive Neural Networks Finite-Time Optimal Control for a Class of Nonlinear Systems307
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review285
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation270
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey240
Regularizing Hyperspectral and Multispectral Image Fusion by CNN Denoiser214
A Survey on Evolutionary Neural Architecture Search206
Finite-Time Consensus Tracking Neural Network FTC of Multi-Agent Systems198
Deep Neural Networks and Tabular Data: A Survey184
Non-Fragile H∞ Synchronization for Markov Jump Singularly Perturbed Coupled Neural Networks Subject to Double-Layer Switching Regulation183
Fixed-Time Leader–Follower Consensus of Networked Nonlinear Systems via Event/Self-Triggered Control178
Scene Segmentation With Dual Relation-Aware Attention Network171
Cross-Modal Attention With Semantic Consistence for Image–Text Matching168
Learning Knowledge Graph Embedding With Heterogeneous Relation Attention Networks168
Host–Parasite: Graph LSTM-in-LSTM for Group Activity Recognition166
Time–Frequency Representation and Convolutional Neural Network-Based Emotion Recognition165
Why ResNet Works? Residuals Generalize165
Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory163
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation162
diffGrad: An Optimization Method for Convolutional Neural Networks161
Neural Control of Robot Manipulators With Trajectory Tracking Constraints and Input Saturation158
Model Pruning Enables Efficient Federated Learning on Edge Devices156
Reinforcement Learning-Based Optimal Tracking Control of an Unknown Unmanned Surface Vehicle154
Adaptive Neural Network Backstepping Control of Fractional-Order Nonlinear Systems With Actuator Faults150
Adaptive Neural Network Control for a Class of Nonlinear Systems With Function Constraints on States146
Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification146
Deep Reinforcement Learning for Cyber Security145
A Comprehensive Survey on Community Detection With Deep Learning144
An Efficient Group Recommendation Model With Multiattention-Based Neural Networks143
Data-Driven Performance-Prescribed Reinforcement Learning Control of an Unmanned Surface Vehicle142
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data139
A Novel Adaptive NN Prescribed Performance Control for Stochastic Nonlinear Systems138
Design and Analysis of Multiscroll Memristive Hopfield Neural Network With Adjustable Memductance and Application to Image Encryption137
Adaptive Bipartite Event-Triggered Output Consensus of Heterogeneous Linear Multiagent Systems Under Fixed and Switching Topologies136
Stability Analysis of the Modified Levenberg–Marquardt Algorithm for the Artificial Neural Network Training133
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification133
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning130
Backdoor Learning: A Survey130
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing130
Reduced-Order Observer-Based Dynamic Event-Triggered Adaptive NN Control for Stochastic Nonlinear Systems Subject to Unknown Input Saturation129
3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising121
Event-Based Finite-Time Neural Control for Human-in-the-Loop UAV Attitude Systems119
Distributed Model-Free Adaptive Control for Learning Nonlinear MASs Under DoS Attacks118
Prior-Based Tensor Approximation for Anomaly Detection in Hyperspectral Imagery118
Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images117
Event-Based Adaptive NN Fixed-Time Cooperative Formation for Multiagent Systems117
C-CNN: Contourlet Convolutional Neural Networks116
Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion116
Open Set Domain Adaptation: Theoretical Bound and Algorithm114
Generative Adversarial Networks-Based Data Augmentation for Brain–Computer Interface112
Impulsive Synchronization of Unbounded Delayed Inertial Neural Networks With Actuator Saturation and Sampled-Data Control and its Application to Image Encryption112
Observer-Based Adaptive Optimized Control for Stochastic Nonlinear Systems With Input and State Constraints111
A Survey of Modulation Classification Using Deep Learning: Signal Representation and Data Preprocessing110
A Survey of Stochastic Computing Neural Networks for Machine Learning Applications109
Heterogeneous Domain Adaptation: An Unsupervised Approach108
BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture108
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis107
Synchronization of Coupled Time-Delay Neural Networks With Mode-Dependent Average Dwell Time Switching107
A Survey of Visual Transformers107
Neural Cryptography Based on Complex-Valued Neural Network107
Deep Reinforcement Learning: A Survey107
Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images107
Adaptive Multigradient Recursive Reinforcement Learning Event-Triggered Tracking Control for Multiagent Systems107
Event-Triggered Output Feedback Synchronization of Master–Slave Neural Networks Under Deception Attacks106
Looking Closer at the Scene: Multiscale Representation Learning for Remote Sensing Image Scene Classification104
Adaptive Synchronization of Fractional-Order Output-Coupling Neural Networks via Quantized Output Control104
Privacy and Robustness in Federated Learning: Attacks and Defenses104
Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis104
Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder103
Neural Network-Based Finite-Time Command Filtering Control for Switched Nonlinear Systems With Backlash-Like Hysteresis102
Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing102
Lightweight Deep Neural Network for Joint Learning of Underwater Object Detection and Color Conversion102
Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification102
Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks101
Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization101
USV Formation and Path-Following Control via Deep Reinforcement Learning With Random Braking101
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns101
Activated Gradients for Deep Neural Networks101
Learning Improvement Heuristics for Solving Routing Problems101
AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks100
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series100
Deep Subspace Clustering99
New Generation Deep Learning for Video Object Detection: A Survey99
A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process98
Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening98
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