Neural Networks

Papers
(The TQCC of Neural Networks is 13. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Editorial Board493
Enhancing space–time video super-resolution via spatial–temporal feature interaction296
Learning shared template representation with augmented feature for multi-object pose estimation271
Towards global neural network abstractions with locally-exact reconstruction230
Nonlinear feature selection for support vector quantile regression200
Sign potential-driven multiplicative optimization for robust deep reinforcement learning174
Backdoor samples detection based on perturbation discrepancy consistency in pre-trained language models173
Editorial Board164
Editorial Board158
Reinforced mixture learning157
EAAR: Efficient and Accurate Action Recognition model with enhanced spatio-temporal perception147
INN/ENNS/JNNS - Membership Applic. Form138
ReTri: Progressive domain bridging via representation disentanglement and triple-level consistency-driven feature alignment for unsupervised domain adaptive medical image segmentation134
Kernelized linear principal component discriminant analysis134
NAR Broad Learning System for dynamical systems prediction128
MMFormer: Multi-Modality semi-Supervised vision transformer in remote sensing imagery classification127
Variational autoencoder for distributional learning via quantile function estimation126
Reinforcement learning with formation energy feedback for material diffusion models125
CURRENT EVENTS118
Corrigendum to “Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems” [Neural Networks 187 (2025) 107412]117
GeoScatt-GNN: A geometric scattering transform-based graph neural network model for Ames mutagenicity prediction116
VLExpan: A visual-enhanced LLM framework with inductive and deductive policies for entity set expansion115
MsDUNE: A multi-scale masked temporal fusion framework for speaker-independent lipreading via Dirichlet uncertainty estimation112
Graph-level contrastive learning with self-aware and cross-sample topology augmentation for brain disorder diagnosis using rs-fMRI110
LMcast: A pretrained language model guided long-term memory transformer for precipitation nowcasting107
Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks106
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation106
Neural operators for robust output regulation of hyperbolic PDEs103
Central loss guides coordinated Transformer for reliable anatomical landmark detection98
TRKM: Twin restricted kernel machines for classification and regression98
SNR: Symbolic network-based rectifiable learning framework for symbolic regression98
CognitMoE: A cognition-aware collaborative multi-expert network for bipolar disorder diagnosis97
Dual aggregation based joint-modal similarity hashing for cross-modal retrieval96
KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings94
FreqMLNet: Non-transformer network with frequency domain reconstruction and multi-scale representation for time series forecasting94
Master-slave synchronization of heterogeneous dimensional proportional delay neural networks for image encryption94
A DINO-based progressive semantic enhanced infrared and visible image fusion network91
Regional crowd flow estimation from aerial view91
Dual-balancing for multi-task learning89
Radiology report generation via visual-semantic ambivalence-aware network and focal self-critical sequence training87
Deep prior embedding method for Electrical Impedance Tomography86
Metamon-GS: Enhancing representability with variance-guided densification and light encoding84
Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction84
DPGCL: Dual pass filtering based graph contrastive learning84
A lightweight model for perceptual image compression via implicit priors84
Image segmentation algorithm based on the Allen-Cahn energy function83
Diffusion-Guided graph generation for multi-view semi-Supervised classification81
MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule80
Spatial–temporal recurrent reinforcement learning for autonomous ships80
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG80
3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision78
Multi-view graph clustering via dual attention fusion and collaborative optimization78
Aspect sentiment learning for Aspect-Level Sentiment Classification78
Dynamic planning in hierarchical active inference78
Small sphere and large margin support tensor machines for imbalanced tensor data classification77
RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation76
Recurrent stochastic configuration networks with block increments76
Explainable hybrid word representations for sentiment analysis of financial news75
Graph anomaly detection based on hybrid node representation learning74
ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal73
Regression-based multisource conditional domain adaptation for policy outcome prediction72
Self-Supervised joint flow and depth estimation via Multi-Cue uncertainty modeling72
Boosting adversarial robustness via self-paced adversarial training71
Adams-based hierarchical features fusion network for image dehazing70
Universality of reservoir systems with recurrent neural networks70
Automated tactics planning for cyber attack and defense based on large language model agents69
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach69
RASP: Regularization-based Amplitude Saliency Pruning69
Oblique and rotation double random forest69
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics67
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals67
Distributed multi-timescale algorithm for nonconvex optimization problem: A control perspective66
Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild66
Event-triggered H65
Learning dynamic graph representations through timespan view contrasts65
Deep graph representation learning for influence maximization with accelerated inference63
MDSFD-Net: Alzheimer’s disease diagnosis with missing modality via disentanglement learning and feature distillation62
Early stopping by correlating online indicators in neural networks62
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor62
Salience Interest Option: Temporal abstraction with salience interest functions61
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment61
Discriminative representation learning via attention-enhanced contrastive learning for short text clustering60
On the Kolmogorov neural networks60
Backdoor attacks on unsupervised graph representation learning60
Temporal knowledge graphs forecasting based on explainable temporal relation tree-graph60
Fixed-time synchronization of proportional delay memristive complex-valued competitive neural networks60
Attention-based random forest and contamination model59
Finite-time and fixed-time self-triggered synchronization of stochastic memristive neural networks and applications in secure communication59
Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber–physical systems under deception attacks59
Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation59
Partial label learning: Taxonomy, analysis and outlook58
Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition58
CURRENT EVENTS57
Graph convolutional network with tree-guided anisotropic message passing57
Model-free reinforcement learning control with zero-min barrier functions for constrained systems57
Data-free knowledge distillation via text-noise fusion and dynamic adversarial temperature56
Self-adaptive label discovery and multi-view fusion for complementary label learning56
Multiple-input and multiple-output encoders with DNA-based winner-take-all neural Networks56
INN/ENNS/JNNS - Membership Applic. Form56
Robust open intent classification in many-shot and few-shot scenarios56
Joint noise detection and L 56
Decomposition and transfer of individual Q-values for decision-making of multi-agent reinforcement learning with communication55
Enhancing out-of-distribution detection with bilateral distribution score54
Simultaneous neural network approximation for smooth functions54
MT-IDS: A multi-task information decoupling strategy for identifying lymph node metastasis in the mediastinal region54
A novel movie scene detection method based on clue relationship and constrained shot description54
CoCoFR: Collaborative codebooks learning with soft matching strategy for blind face restoration53
Predictive coding with spiking neural networks: A survey53
Exploring cognitive workload recognition using CogRepLKNet with EEG-fMRI53
CosELU: An improved activation deep neural network for EEG signal recognition in stroke patients53
An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment53
Adversarial contrastive with leveraging negative knowledge for point of interest sequence learning53
Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets53
Editorial Board52
Return of the normal distribution: Flexible deep continual learning with variational auto-encoders52
Set stabilization of logical control networks: A minimum node control approach52
MOAL: Multi-view Out-of-distribution Awareness Learning52
A novel two-layer fuzzy neural network for solving inequality-constrained 52
ComCo: Complementary supervised contrastive learning for complementary label learning52
Gradient flow-based iterative pruning for efficient and high-quality lightweight diffusion models52
Current Events51
Illumination-aware divide-and-conquer network for improperly-exposed image enhancement50
INN/ENNS/JNNS - Membership Applic. Form50
Unified analysis of stability and dissipativity for inertial memristive multidimensional-valued neural networks with time-varying delays via non-reduced order method50
Editorial Board50
Causality guided co-attention network for visual question answering49
High-order diversity feature learning for pedestrian attribute recognition49
Data-driven optimal tracking control for nonlinear systems with performance constraints via adaptive dynamic programming49
Robust self-organizing fuzzy neural network with data immunity evaluation for industrial process modeling49
Quality-diversity based semi-autonomous teleoperation using reinforcement learning49
Batch self-organizing memory neural network for continual supervised learning49
Mittag-Leffler stability of fractional-order quaternion-valued memristive neural networks with generalized piecewise constant argument49
Heterophilous distribution propagation for Graph Neural Networks48
Weakly supervised multi-modal imitation learning from incompletely labeled demonstrations48
SSR1M: A stochastic SR1 method with momentum acceleration for non-Convex optimization48
A general framework for robust stability analysis of neural networks with discrete time delays48
MINIGE-MNER: A multi-stage interaction network inspired by gene editing for multimodal named entity recognition48
Distributional generative adversarial imitation learning with reproducing kernel generalization48
Corrigendum to “Self-Referencing agents for unsupervised reinforcement learning” [Neural Networks Volume 188, August 2025, 107448]48
Information theory-guided heuristic progressive multi-view coding48
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization48
Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding47
Quantization-aware training for low precision photonic neural networks47
Pre- to post-contrast medical image synthesis with outline-guide accelerate diffusion model47
Energy controls wave propagation in a neural network with spatial stimuli47
HirMTL: Hierarchical Multi-Task Learning for dense scene understanding47
Projection-based tokenization with Pseudo feature learning for ovarian lesion segementation in ultrasound images46
2DHeadPose: A simple and effective annotation method for the head pose in RGB images and its dataset46
Joint weight optimization for partial domain adaptation via kernel statistical distance estimation46
Deep learning algorithms for license plate recognition: A review46
Federated open intent classification via granular-ball knowledge representation46
Representation-driven sampling and adaptive policy resetting for improving multi-Agent reinforcement learning46
BDM-YOLOv8n: A high-performance model for accurate fire detection in aerial imagery46
A semi-looped functional for sampled-data synchronization of delayed neural networks considering communication delay46
A framework for controllable Pareto front learning with completed scalarization functions and its applications46
Long-range zero-shot generative deep network quantization45
M3T-CKD: A multi-modal multi-teacher contrastive knowledge distillation framework for survival prediction of patients with carotid atherosclerosis45
HpMiX: A Disease ceRNA biomarker prediction framework driven by graph topology-constrained Mixup and hypergraph residual enhancement45
Inter-participant transfer learning with attention based domain adversarial training for P300 detection45
Towards a unified framework for graph-based multi-view clustering45
BC-PMJRS: A Brain Computing-inspired Predefined Multimodal Joint Representation Spaces for enhanced cross-modal learning45
Sampled-based adaptive event-triggered resilient control for multiagent systems with hybrid cyber-attacks45
CT-Net: Asymmetric compound branch Transformer for medical image segmentation45
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition45
Self-guided disentangled representation learning for single image dehazing44
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks44
Structure regularized consensus dynamic anchor graph learning for incomplete multi-view clustering44
Multi-scale graph harmonies: Unleashing U-Net’s potential for medical image segmentation through contrastive learning44
Medical image segmentation network based on multi-scale frequency domain filter44
Brain-inspired chaotic backpropagation for MLP43
SREGS: Sparse-view Gaussian radiance fields with geometric regularization and region exploration43
UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network43
Effects of impulse on prescribed-time synchronization of switching complex networks43
Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment43
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers43
A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion42
Modeling limit order trading with a continuous action policy for deep reinforcement learning42
Tailoring knowledge for empowered cooperative actions in multi-agent reinforcement learning42
DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation42
Offline-to-online reinforcement learning with efficient unconstrained fine-tuning42
Fixed-time synchronization of delayed memristive neural networks with impulsive effects via novel fixed-time stability theorem42
Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection42
psoResNet: An improved PSO-based residual network search algorithm42
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks42
G2BFNN: Genera42
An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control41
Cosine convolutional neural network and its application for seizure detection41
Continual learning with Bayesian compression for shared and private latent representations41
Exploring quantum neural networks for binary classification on MNIST dataset: A swap test approach41
MSB-VQA: Overcoming multiple source biases for robust visual question answering41
A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection41
Distilling Large Language Models for Code Generation via Ranking Supervision40
PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins40
Intra- and inter-channel deep convolutional neural network with dynamic label smoothing for multichannel biosignal analysis40
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots40
A survey on few-shot class-incremental learning40
Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification40
A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification40
Mask-Shift-Inference: A novel paradigm for domain generalization40
LUFormer : A luminance-informed localized transformer with frequency augmentation for nighttime flare removal39
Contrastive learning of graphs under label noise39
Graph-patchformer: Patch interaction transformer with adaptive graph learning for multivariate time series forecasting39
Editorial Board39
A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control39
A unified framework for EEG seizure detection using universum-integrated generalized eigenvalues proximal support vector machine39
CANet: ChronoAdaptive network for enhanced long-term time series forecasting under non-stationarity39
Progressive discretization for generative retrieval: A self-supervised approach to high-quality DocID generation39
Adaptive Diversity Induced Reweighting for long-tailed classification39
GuidedDE: Targeted black-box adversarial attacks via confidence-guided mutation on automatic speech recognition systems39
SCADA securing system using deep learning to prevent cyber infiltration39
Privacy-preserving personalized federated prompt learning for vision-language models38
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index38
DCDLN: A densely connected convolutional dynamic learning network for malaria disease diagnosis38
ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints38
Event-triggered impulsive cluster synchronization of coupled reaction–diffusion neural networks and its application to image encryption38
ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation38
UVENet: A novel end-to-end model for temporal consistency in underwater video enhancement38
Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models37
Refining visual token sequence for efficient image captioning37
Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design37
A cause fusion framework with information bottleneck for conversational causal emotion entailment37
Simignore: Exploring and enhancing multimodal large model complex reasoning via similarity computation37
Disentangled representation learning for multi-view clustering via von Mises–Fisher hyperspherical embedding37
Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors36
INN/ENNS/JNNS - Membership Applic. Form36
Generation, division and training: A promising method for source-free unsupervised domain adaptation36
INN/ENNS/JNNS - Membership Applic. Form36
ProMask: Probability mask representation for skeleton detection36
Genetic hyperparameter optimization with Modified Scalable-Neighbourhood Component Analysis for breast cancer prognostication36
Internal sensory models allow for balance control using muscle spindle acceleration feedback36
Knowledge-distillation based personalized federated learning with distribution constraints36
INN/ENNS/JNNS - Membership Applic. Form36
Meta attention for Off-Policy Actor-Critic36
Neural Networks Referees in 202436
fastiSSM: Fast inference of state space model with online model approximation in frequency-domain35
Align then clip: Refining graph for face clustering35
GNNRL-smoothing: A prior-free reinforcement learning model for mesh optimization35
PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning35
Dynamic comprehensive difficulty knowledge cells based on KAN network and stable learning for knowledge tracing35
Few-shot object detection via semantic prompts and classifier decoupling35
Temporal multi-modal knowledge graph generation for link prediction35
Dilated memory in hierarchical reinforcement learning for long-horizontal task35
Probabilistic-sampling-based asynchronous control for semi-Markov jumping neural networks with reaction–diffusion terms35
Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks35
Restarted multiple kernel algorithms with self-guiding for large-scale multi-view clustering35
Communication-efficient distributed learning with Local Immediate Error Compensation34
Lifelong person re-identification via dynamically knowledge adaptation and retention34
Combining various training and adaptation algorithms for ensemble few-shot classification34
DSA-Diff: Dynamic schedule alignment for training-Inference consistent modality translation in x-prediction diffusion model34
SCMEA: A stacked co-enhanced model for entity alignment based on multi-aspect information fusion and bidirectional contrastive learning34
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