OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Neural Networks and Learning Systems is 110. 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 2021-09-01 to 2025-09-01.)

Article	Citations
Table of Contents	2941
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	1558
Efficient Spiking Neural Networks With Radix Encoding	1300
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance	697
Stochastically Controlled Compositional Gradient for Composition Problems	596
Altruistic Collaborative Learning	546
Nonergodic Complexity of Proximal Inertial Gradient Descents	428
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization	391
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder	382
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials	363
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data	313
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification	311
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds	278
IEEE Computational Intelligence Society Information	264
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data	259
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation	242
Learning Sequential Variation Information for Dynamic Facial Expression Recognition	240
Local Causal Discovery in Multiple Manipulated Datasets	234
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods	232
A Study on Truncated Newton Methods for Linear Classification	228
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance	227
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis	222
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches	221
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia	220
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs	218

Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication	215
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions	215
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning	212
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation	202
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP	201
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation	188
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection	184
Open Set Domain Adaptation via Joint Alignment and Category Separation	183
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance	177
Agglomerative Neural Networks for Multiview Clustering	177
Attention-Based Real Image Restoration	176
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal	176
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme	172
Evolving Memristive Reservoir	171
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection	170
LFT: Neural Ordinary Differential Equations With Learnable Final-Time	170
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation	168
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment	168
Multiview Classification Through Learning From Interval-Valued Data	167
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification	166
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning	166
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks	165
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification	164
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks	164
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression	162
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt	158
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning	157
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation	156
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter	155
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays	155
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning	155
A Weighted Heterogeneous Graph-Based Dialog System	154
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization	151
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity	149
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited	147
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series	145
Deep Learning for Visual Localization and Mapping: A Survey	145
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications	145
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays	144
Heterogeneous Multidomain Recommender System Through Adversarial Learning	143
Learning Aligned Vertex Convolutional Networks for Graph Classification	143
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks	143
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective	141
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications	141
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework	139
Deep Learning and Symbolic Regression for Discovering Parametric Equations	138
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks	135
Adaptive Weighted Ranking-Oriented Label Distribution Learning	133
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation	133
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application	133

Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application	133
Simple and Effective: Spatial Rescaling for Person Reidentification	131
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network	129
Exploring Dynamic Transformer for Efficient Object Tracking	126
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning	126
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory	125
Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach	125
Adaptive Developmental Resonance Network	123
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model	122
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network	122
Rethinking Pretraining as a Bridge From ANNs to SNNs	122
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection	121
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems	121
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness	120
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks	120
A Novel Generator With Auxiliary Branch for Improving GAN Performance	119
Domain Adaptation via Prompt Learning	119
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity	118
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production	118
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment	116
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection	116
A Novel Formulation of Trace Ratio Linear Discriminant Analysis	115
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification	115
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling	115
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation	114
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes	114
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning	113
Wormhole Dynamics in Deep Neural Networks	113
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network	113
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation	113
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks	112
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis	111
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks	111
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults	111
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules	110
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach	110