OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Neural Networks and Learning Systems is 108. 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 2021-08-01 to 2025-08-01.)

Article	Citations
Table of Contents	2818
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks	1501
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	1261
Efficient Spiking Neural Networks With Radix Encoding	741
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance	659
Stochastically Controlled Compositional Gradient for Composition Problems	564
Altruistic Collaborative Learning	540
Nonergodic Complexity of Proximal Inertial Gradient Descents	417
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization	405
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder	361
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials	342
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data	340
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification	295
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds	293
IEEE Computational Intelligence Society Information	268
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data	252
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules	252
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems	239
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation	233
Local Causal Discovery in Multiple Manipulated Datasets	224
Learning Sequential Variation Information for Dynamic Facial Expression Recognition	224
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production	223
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods	217
A Study on Truncated Newton Methods for Linear Classification	214
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario	214

2-D Transformer: Extending Large Language Models to Long-Context With Few Memory	214
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance	213
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis	210
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia	207
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches	207
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective	192
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs	190
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection	182
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication	180
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning	177
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions	173
Parameterized Luenberger-TypeH_∞State Estimator for Delayed Static Neural Networks	172
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks	172
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning	171
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation	168
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP	167
Adaptive Developmental Resonance Network	166
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation	165
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection	163
Spatiotemporal Graph Convolution Multifusion Network for Urban Vehicle Emission Prediction	162
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning	161
Exploring Dynamic Transformer for Efficient Object Tracking	160
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application	160
Open Set Domain Adaptation via Joint Alignment and Category Separation	159
Deep Learning and Symbolic Regression for Discovering Parametric Equations	159
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance	157
Inverse Reinforcement Learning for Adversarial Apprentice Games	156
Learning Aligned Vertex Convolutional Networks for Graph Classification	155
Agglomerative Neural Networks for Multiview Clustering	152
Attention-Based Real Image Restoration	151
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal	149
A Novel Generator With Auxiliary Branch for Improving GAN Performance	149
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness	148
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme	148
Evolving Memristive Reservoir	146
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection	145
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks	144
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications	143
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling	142
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation	142
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives	140
LFT: Neural Ordinary Differential Equations With Learnable Final-Time	140
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach	139
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach	139
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity	137
Adaptive Weighted Ranking-Oriented Label Distribution Learning	137
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion	135
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection	134
Domain Adaptation via Prompt Learning	130
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network	130

Simple and Effective: Spatial Rescaling for Person Reidentification	129
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks	129
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment	128
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation	126
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation	123
Multiview Classification Through Learning From Interval-Valued Data	123
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification	123
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks	122
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning	122
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment	121
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes	120
Rethinking Pretraining as a Bridge From ANNs to SNNs	119
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks	119
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model	118
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks	118
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression	117
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification	117
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt	116
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning	115
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review	115
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network	115
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System	114
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation	114
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning	113
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter	113
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults	113
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays	112
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework	111
A Novel Formulation of Trace Ratio Linear Discriminant Analysis	110
A Weighted Heterogeneous Graph-Based Dialog System	110
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity	109
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization	109
Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering	108