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 2022-06-01 to 2026-06-01.)
ArticleCitations
Editorial Board465
Enhancing space–time video super-resolution via spatial–temporal feature interaction269
Learning shared template representation with augmented feature for multi-object pose estimation262
ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal197
Graph convolutional network with tree-guided anisotropic message passing188
DPGCL: Dual pass filtering based graph contrastive learning171
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach162
Nonlinear feature selection for support vector quantile regression145
Towards global neural network abstractions with locally-exact reconstruction145
Sign potential-driven multiplicative optimization for robust deep reinforcement learning144
Backdoor samples detection based on perturbation discrepancy consistency in pre-trained language models140
Editorial Board131
Editorial Board131
Reinforced mixture learning123
EAAR: Efficient and Accurate Action Recognition model with enhanced spatio-temporal perception115
Aspect sentiment learning for Aspect-Level Sentiment Classification115
INN/ENNS/JNNS - Membership Applic. Form112
Kernelized linear principal component discriminant analysis111
ReTri: Progressive domain bridging via representation disentanglement and triple-level consistency-driven feature alignment for unsupervised domain adaptive medical image segmentation109
NAR Broad Learning System for dynamical systems prediction108
MMFormer: Multi-Modality semi-Supervised vision transformer in remote sensing imagery classification107
Temporal knowledge graphs forecasting based on explainable temporal relation tree-graph107
Reinforcement learning with formation energy feedback for material diffusion models105
Variational autoencoder for distributional learning via quantile function estimation105
CURRENT EVENTS104
Corrigendum to “Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems” [Neural Networks 187 (2025) 107412]102
Adams-based hierarchical features fusion network for image dehazing98
GeoScatt-GNN: A geometric scattering transform-based graph neural network model for Ames mutagenicity prediction96
VLExpan: A visual-enhanced LLM framework with inductive and deductive policies for entity set expansion94
RASP: Regularization-based Amplitude Saliency Pruning93
Metamon-GS: Enhancing representability with variance-guided densification and light encoding92
Regression-based multisource conditional domain adaptation for policy outcome prediction91
MsDUNE: A multi-scale masked temporal fusion framework for speaker-independent lipreading via Dirichlet uncertainty estimation91
Deep graph representation learning for influence maximization with accelerated inference90
Graph-level contrastive learning with self-aware and cross-sample topology augmentation for brain disorder diagnosis using rs-fMRI89
Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation87
LMcast: A pretrained language model guided long-term memory transformer for precipitation nowcasting86
MDSFD-Net: Alzheimer’s disease diagnosis with missing modality via disentanglement learning and feature distillation85
A lightweight model for perceptual image compression via implicit priors85
TRKM: Twin restricted kernel machines for classification and regression81
3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision80
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics79
Salience Interest Option: Temporal abstraction with salience interest functions79
Event-triggered H79
Discriminative representation learning via attention-enhanced contrastive learning for short text clustering79
Radiology report generation via visual-semantic ambivalence-aware network and focal self-critical sequence training78
CognitMoE: A cognition-aware collaborative multi-expert network for bipolar disorder diagnosis77
Universality of reservoir systems with recurrent neural networks77
KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings76
Dual aggregation based joint-modal similarity hashing for cross-modal retrieval76
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment75
A DINO-based progressive semantic enhanced infrared and visible image fusion network75
Boosting adversarial robustness via self-paced adversarial training75
On the Kolmogorov neural networks75
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals74
Small sphere and large margin support tensor machines for imbalanced tensor data classification72
Regional crowd flow estimation from aerial view72
Dual-balancing for multi-task learning72
Fixed-time synchronization of proportional delay memristive complex-valued competitive neural networks71
Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition71
Finite-time and fixed-time self-triggered synchronization of stochastic memristive neural networks and applications in secure communication71
Spatial–temporal recurrent reinforcement learning for autonomous ships71
Explainable hybrid word representations for sentiment analysis of financial news71
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation68
Backdoor attacks on unsupervised graph representation learning68
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor67
Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks65
Neural operators for robust output regulation of hyperbolic PDEs64
Dynamic planning in hierarchical active inference64
RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation64
Distributed multi-timescale algorithm for nonconvex optimization problem: A control perspective63
Automated tactics planning for cyber attack and defense based on large language model agents62
SNR: Symbolic network-based rectifiable learning framework for symbolic regression62
MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule61
Central loss guides coordinated Transformer for reliable anatomical landmark detection61
XAI-DTBD: Explainable Dynamic Threshold-based Backdoor Detection in Graph Neural Networks61
Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber–physical systems under deception attacks61
Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild59
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG59
Recurrent stochastic configuration networks with block increments59
Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction59
Attention-based random forest and contamination model59
Oblique and rotation double random forest58
Learning dynamic graph representations through timespan view contrasts58
Partial label learning: Taxonomy, analysis and outlook57
Early stopping by correlating online indicators in neural networks57
CURRENT EVENTS56
Graph anomaly detection based on hybrid node representation learning56
Deep prior embedding method for Electrical Impedance Tomography56
Model-free reinforcement learning control with zero-min barrier functions for constrained systems55
Robust open intent classification in many-shot and few-shot scenarios54
A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection54
Data-free knowledge distillation via text-noise fusion and dynamic adversarial temperature53
A semi-looped functional for sampled-data synchronization of delayed neural networks considering communication delay53
Joint noise detection and L 53
Towards understanding theoretical advantages of complex-reaction networks52
INN/ENNS/JNNS - Membership Applic. Form52
A framework for controllable Pareto front learning with completed scalarization functions and its applications52
Multiple-input and multiple-output encoders with DNA-based winner-take-all neural Networks52
Enhancing out-of-distribution detection with bilateral distribution score51
Brain-inspired chaotic backpropagation for MLP51
Self-guided disentangled representation learning for single image dehazing51
Self-adaptive label discovery and multi-view fusion for complementary label learning51
Towards a unified framework for graph-based multi-view clustering50
Adversarial contrastive with leveraging negative knowledge for point of interest sequence learning50
CosELU: An improved activation deep neural network for EEG signal recognition in stroke patients50
Exploring cognitive workload recognition using CogRepLKNet with EEG-fMRI50
Simultaneous neural network approximation for smooth functions50
CoCoFR: Collaborative codebooks learning with soft matching strategy for blind face restoration50
A novel movie scene detection method based on clue relationship and constrained shot description50
MT-IDS: A multi-task information decoupling strategy for identifying lymph node metastasis in the mediastinal region50
BC-PMJRS: A Brain Computing-inspired Predefined Multimodal Joint Representation Spaces for enhanced cross-modal learning50
Tailoring knowledge for empowered cooperative actions in multi-agent reinforcement learning50
Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets49
Predictive coding with spiking neural networks: A survey49
An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment49
Mask-Shift-Inference: A novel paradigm for domain generalization49
Set stabilization of logical control networks: A minimum node control approach48
Gradient flow-based iterative pruning for efficient and high-quality lightweight diffusion models48
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks48
A novel two-layer fuzzy neural network for solving inequality-constrained 48
Exploring quantum neural networks for binary classification on MNIST dataset: A swap test approach48
Return of the normal distribution: Flexible deep continual learning with variational auto-encoders48
ComCo: Complementary supervised contrastive learning for complementary label learning47
MOAL: Multi-view Out-of-distribution Awareness Learning47
DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation47
G2BFNN: Genera47
Offline-to-online reinforcement learning with efficient unconstrained fine-tuning47
Current Events46
Joint weight optimization for partial domain adaptation via kernel statistical distance estimation46
Editorial Board46
Editorial Board46
SREGS: Sparse-view Gaussian radiance fields with geometric regularization and region exploration46
Current Events46
INN/ENNS/JNNS - Membership Applic. Form46
Sampled-based adaptive event-triggered resilient control for multiagent systems with hybrid cyber-attacks46
A general framework for robust stability analysis of neural networks with discrete time delays45
Illumination-aware divide-and-conquer network for improperly-exposed image enhancement45
psoResNet: An improved PSO-based residual network search algorithm45
Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification45
Effects of impulse on prescribed-time synchronization of switching complex networks45
An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control45
Cosine convolutional neural network and its application for seizure detection45
A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification45
MSB-VQA: Overcoming multiple source biases for robust visual question answering45
Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection45
Quality-diversity based semi-autonomous teleoperation using reinforcement learning44
Long-range zero-shot generative deep network quantization44
Inter-participant transfer learning with attention based domain adversarial training for P300 detection44
Unified analysis of stability and dissipativity for inertial memristive multidimensional-valued neural networks with time-varying delays via non-reduced order method44
High-order diversity feature learning for pedestrian attribute recognition44
Medical image segmentation network based on multi-scale frequency domain filter44
Data-driven optimal tracking control for nonlinear systems with performance constraints via adaptive dynamic programming44
Mittag-Leffler stability of fractional-order quaternion-valued memristive neural networks with generalized piecewise constant argument44
Quantization-aware training for low precision photonic neural networks44
Intra- and inter-channel deep convolutional neural network with dynamic label smoothing for multichannel biosignal analysis44
Pre- to post-contrast medical image synthesis with outline-guide accelerate diffusion model43
Representation-driven sampling and adaptive policy resetting for improving multi-Agent reinforcement learning43
Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding43
Multi-scale graph harmonies: Unleashing U-Net’s potential for medical image segmentation through contrastive learning43
2DHeadPose: A simple and effective annotation method for the head pose in RGB images and its dataset43
Fixed-time synchronization of delayed memristive neural networks with impulsive effects via novel fixed-time stability theorem43
SSR1M: A stochastic SR1 method with momentum acceleration for non-Convex optimization42
PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins42
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers42
Weakly supervised multi-modal imitation learning from incompletely labeled demonstrations42
Causality guided co-attention network for visual question answering42
Batch self-organizing memory neural network for continual supervised learning42
MINIGE-MNER: A multi-stage interaction network inspired by gene editing for multimodal named entity recognition42
Robust self-organizing fuzzy neural network with data immunity evaluation for industrial process modeling42
M3T-CKD: A multi-modal multi-teacher contrastive knowledge distillation framework for survival prediction of patients with carotid atherosclerosis41
Information theory-guided heuristic progressive multi-view coding41
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization41
HirMTL: Hierarchical Multi-Task Learning for dense scene understanding40
Continual learning with Bayesian compression for shared and private latent representations40
UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network40
Structure regularized consensus dynamic anchor graph learning for incomplete multi-view clustering40
Corrigendum to “Self-Referencing agents for unsupervised reinforcement learning” [Neural Networks Volume 188, August 2025, 107448]40
A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion40
Heterophilous distribution propagation for Graph Neural Networks40
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition40
Modeling limit order trading with a continuous action policy for deep reinforcement learning40
Distributional generative adversarial imitation learning with reproducing kernel generalization40
BDM-YOLOv8n: A high-performance model for accurate fire detection in aerial imagery39
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks39
Energy controls wave propagation in a neural network with spatial stimuli39
When Task Performance Deceives: Task-Geometry Decoupling in Learnable-Curvature Hyperbolic GNNs39
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots39
FedEBM: Robust Graph Federated Learning via Energy-Based Model39
A survey on few-shot class-incremental learning38
Progressive discretization for generative retrieval: A self-supervised approach to high-quality DocID generation38
INN/ENNS/JNNS - Membership Applic. Form38
DPC: Dynamic Purification Chain for Adaptive Adversarial Defense38
Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment38
INN/ENNS/JNNS - Membership Applic. Form38
Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors38
CT-Net: Asymmetric compound branch Transformer for medical image segmentation38
Editorial Board38
Refining visual token sequence for efficient image captioning38
LUFormer : A luminance-informed localized transformer with frequency augmentation for nighttime flare removal38
A selection perturbative hyper-heuristic for neural architecture search37
ProMask: Probability mask representation for skeleton detection37
Privacy-preserving personalized federated prompt learning for vision-language models37
M237
Informative pairs mining based adaptive metric learning for adversarial domain adaptation37
LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning37
Probabilistic-sampling-based asynchronous control for semi-Markov jumping neural networks with reaction–diffusion terms36
GuidedDE: Targeted black-box adversarial attacks via confidence-guided mutation on automatic speech recognition systems36
Few-shot object detection via semantic prompts and classifier decoupling36
Lifelong person re-identification via dynamically knowledge adaptation and retention36
A cause fusion framework with information bottleneck for conversational causal emotion entailment36
Communication-efficient distributed learning with Local Immediate Error Compensation36
A unified framework for EEG seizure detection using universum-integrated generalized eigenvalues proximal support vector machine36
TFRS: A task-level feature rectification and separation method for few-shot video action recognition36
The answer lies within: Detecting Trojans from DNNs’ inherent characteristics36
Iterative neural networks for improving memory capacity35
Efficient learning rate adaptation based on hierarchical optimization approach35
Deep one-class probability learning for end-to-end image classification35
Internal sensory models allow for balance control using muscle spindle acceleration feedback35
G-NeuroDAVIS: A generative model for data visualization through a generalized embedding35
Corrigendum to “Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data” [Neural Networks 163 (2023) 272–285]35
Neural Networks Referees in 202435
DSA-Diff: Dynamic schedule alignment for training-Inference consistent modality translation in x-prediction diffusion model35
SimTA++: Simple attention neural network for clinical asynchronous time series35
PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning35
INN/ENNS/JNNS - Membership Applic. Form35
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index35
Dynamic comprehensive difficulty knowledge cells based on KAN network and stable learning for knowledge tracing34
fastiSSM: Fast inference of state space model with online model approximation in frequency-domain34
UVENet: A novel end-to-end model for temporal consistency in underwater video enhancement34
Graph Neural Network contextual embedding for Deep Learning on tabular data34
UMS2-ODNet: Un34
LCMF-Net: A lightweight collaborative multimodal fusion network for brain tumor segmentation34
Dilated memory in hierarchical reinforcement learning for long-horizontal task34
GNNRL-smoothing: A prior-free reinforcement learning model for mesh optimization34
Dynamic graph transformation with multi-task learning for enhanced spatio-temporal traffic prediction34
A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem34
Align then clip: Refining graph for face clustering34
Temporal multi-modal knowledge graph generation for link prediction34
Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks34
Fixed/prescribed-time synchronization of state-dependent switching neural networks with stochastic disturbance and impulsive effects34
Genetic hyperparameter optimization with Modified Scalable-Neighbourhood Component Analysis for breast cancer prognostication34
EMAT: Efficient feature fusion network for visual tracking via optimized multi-head attention33
Stability and passivity analysis of delayed neural networks via an improved matrix-valued polynomial inequality33
Neuroadaptive fixed-time fault-tolerant containment control of high-order MIMO Nonlinear multi-agent systems in affine strict-feedback form33
Simignore: Exploring and enhancing multimodal large model complex reasoning via similarity computation33
Online continual decoding of streaming EEG signal with a balanced and informative memory buffer33
Sparse factorization of square matrices with application to neural attention modeling33
ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation33
Sequential safe static and dynamic screening rule for accelerating support tensor machine33
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