OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Neural Networks and Learning Systems is 104. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis	2370
Table of Contents	1360
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks	1131
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	650
Efficient Spiking Neural Networks With Radix Encoding	569
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation	511
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols	473
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance	452
Stochastically Controlled Compositional Gradient for Composition Problems	419
A Universal Framework for Learning the Elliptical Mixture Model	390
Outlier-Resistant Remote State Estimation for Recurrent Neural Networks With Mixed Time-Delays	373
Convolutional Neural Networks With Dynamic Regularization	302
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks	287
Spatiotemporal Graph Convolution Multifusion Network for Urban Vehicle Emission Prediction	249
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning	246
Altruistic Collaborative Learning	238
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System	222
Multiview Classification Through Learning From Interval-Valued Data	220
Agglomerative Neural Networks for Multiview Clustering	216
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks	214
Evolving Memristive Reservoir	211
LFT: Neural Ordinary Differential Equations With Learnable Final-Time	208
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications	207
Local Causal Discovery in Multiple Manipulated Datasets	206
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment	204

Rethinking Pretraining as a Bridge From ANNs to SNNs	203
Open Set Domain Adaptation via Joint Alignment and Category Separation	202
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness	201
Heterogeneous Multidomain Recommender System Through Adversarial Learning	198
Nonergodic Complexity of Proximal Inertial Gradient Descents	189
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series	185
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production	183
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks	183
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization	176
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder	172
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials	168
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification	164
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation	162
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data	161
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia	160
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation	160
Target Controllability in Multilayer Networks via Minimum-Cost Maximum-Flow Method	159
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification	155
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection	152
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review	152
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning	151
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds	151
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance	151
IEEE Computational Intelligence Society Information	147
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP	145
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules	145
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods	144
Attention-Based Real Image Restoration	144
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches	144
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario	140
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion	140
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory	140
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework	138
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization	138
Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering	138
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression	137
Domain Adaptation via Prompt Learning	136
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt	136
Deep Learning for Visual Localization and Mapping: A Survey	134
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling	133
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation	133
A Weighted Heterogeneous Graph-Based Dialog System	132
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance	131
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning	130
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks	129
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks	128
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs	128
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems	125
Learning Sequential Variation Information for Dynamic Facial Expression Recognition	125
Simple and Effective: Spatial Rescaling for Person Reidentification	125

Exploring Dynamic Transformer for Efficient Object Tracking	124
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity	123
Federated Generalized Face Presentation Attack Detection	123
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited	123
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication	123
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment	122
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network	122
A Novel Generator With Auxiliary Branch for Improving GAN Performance	121
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach	121
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems	117
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application	117
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning	116
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications	115
A Study on Truncated Newton Methods for Linear Classification	113
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network	113
Learning Aligned Vertex Convolutional Networks for Graph Classification	113
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series	112
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays	112
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme	112
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective	112
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity	111
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays	110
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes	109
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions	109
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach	108
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis	107
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults	107
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal	107
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application	106
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection	104
Automated Social Text Annotation With Joint Multilabel Attention Networks	104
Inverse Reinforcement Learning for Adversarial Apprentice Games	104
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation	104
Adaptive Developmental Resonance Network	104
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks	104