Neural Networks

Papers
(The median citation count of Neural Networks is 5. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Editorial Board448
Editorial Board260
Editorial Board259
Reinforced mixture learning187
Aspect sentiment learning for Aspect-Level Sentiment Classification180
EAAR: Efficient and Accurate Action Recognition model with enhanced spatio-temporal perception170
Dynamic planning in hierarchical active inference153
Variational autoencoder for distributional learning via quantile function estimation140
Boosting adversarial robustness via self-paced adversarial training140
Distributed multi-timescale algorithm for nonconvex optimization problem: A control perspective138
Deep prior embedding method for Electrical Impedance Tomography130
Recurrent stochastic configuration networks with block increments130
Enhancing space–time video super-resolution via spatial–temporal feature interaction130
Learning shared template representation with augmented feature for multi-object pose estimation120
Backdoor samples detection based on perturbation discrepancy consistency in pre-trained language models114
Corrigendum to “Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems” [Neural Networks 187 (2025) 107412]111
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals109
Partial label learning: Taxonomy, analysis and outlook107
Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks106
Backdoor attacks on unsupervised graph representation learning104
Early stopping by correlating online indicators in neural networks104
Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition103
Graph anomaly detection based on hybrid node representation learning103
Automated tactics planning for cyber attack and defense based on large language model agents102
Neural operators for robust output regulation of hyperbolic PDEs101
Closed-loop Correction Reprogramming for Fine-grained Visual Prompting98
Differential Feature Guidance and Compressed Cost Volume for Large Disparity Stereo Network96
SNR: Symbolic network-based rectifiable learning framework for symbolic regression93
RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation92
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor92
Oblique and rotation double random forest90
Fixed-time synchronization of proportional delay memristive complex-valued competitive neural networks88
Explainable hybrid word representations for sentiment analysis of financial news88
Spatial–temporal recurrent reinforcement learning for autonomous ships87
Dual-balancing for multi-task learning87
INN/ENNS/JNNS - Membership Applic. Form85
Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild83
3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision82
CURRENT EVENTS79
Reinforcement learning with formation energy feedback for material diffusion models79
TRKM: Twin restricted kernel machines for classification and regression79
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach78
ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal78
DPGCL: Dual pass filtering based graph contrastive learning78
MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule78
Towards global neural network abstractions with locally-exact reconstruction75
Sign potential-driven multiplicative optimization for robust deep reinforcement learning75
Graph convolutional network with tree-guided anisotropic message passing75
Nonlinear feature selection for support vector quantile regression75
RASP: Regularization-based Amplitude Saliency Pruning74
Metamon-GS: Enhancing representability with variance-guided densification and light encoding73
Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber–physical systems under deception attacks72
MsDUNE: A multi-scale masked temporal fusion framework for speaker-independent lipreading via Dirichlet uncertainty estimation71
Learning dynamic graph representations through timespan view contrasts71
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG71
A DINO-based progressive semantic enhanced infrared and visible image fusion network70
Regression-based multisource conditional domain adaptation for policy outcome prediction70
Adams-based hierarchical features fusion network for image dehazing69
Graph-level contrastive learning with self-aware and cross-sample topology augmentation for brain disorder diagnosis using rs-fMRI69
GeoScatt-GNN: A geometric scattering transform-based graph neural network model for Ames mutagenicity prediction69
VLExpan: A visual-enhanced LLM framework with inductive and deductive policies for entity set expansion68
Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction67
Flexibly regularized mixture models and application to image segmentation67
Salience Interest Option: Temporal abstraction with salience interest functions65
Event-triggered H65
CognitMoE: A cognition-aware collaborative multi-expert network for bipolar disorder diagnosis63
Regional crowd flow estimation from aerial view63
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics63
Discriminative representation learning via attention-enhanced contrastive learning for short text clustering63
On the Kolmogorov neural networks62
Universality of reservoir systems with recurrent neural networks62
Small sphere and large margin support tensor machines for imbalanced tensor data classification60
Dual aggregation based joint-modal similarity hashing for cross-modal retrieval60
MDSFD-Net: Alzheimer’s disease diagnosis with missing modality via disentanglement learning and feature distillation59
Attention-based random forest and contamination model59
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment58
Finite-time and fixed-time self-triggered synchronization of stochastic memristive neural networks and applications in secure communication58
Radiology report generation via visual-semantic ambivalence-aware network and focal self-critical sequence training58
A lightweight model for perceptual image compression via implicit priors58
KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings58
Central loss guides coordinated Transformer for reliable anatomical landmark detection57
LMcast: A pretrained language model guided long-term memory transformer for precipitation nowcasting57
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation57
Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation57
Deep graph representation learning for influence maximization with accelerated inference57
Joint noise detection and L 56
CURRENT EVENTS56
Modeling limit order trading with a continuous action policy for deep reinforcement learning55
A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection55
M3T-CKD: A multi-modal multi-teacher contrastive knowledge distillation framework for survival prediction of patients with carotid atherosclerosis54
MSB-VQA: Overcoming multiple source biases for robust visual question answering53
MINIGE-MNER: A multi-stage interaction network inspired by gene editing for multimodal named entity recognition53
Model-free reinforcement learning control with zero-min barrier functions for constrained systems52
Data-free knowledge distillation via text-noise fusion and dynamic adversarial temperature52
Weakly supervised multi-modal imitation learning from incompletely labeled demonstrations52
Offline-to-online reinforcement learning with efficient unconstrained fine-tuning52
A semi-looped functional for sampled-data synchronization of delayed neural networks considering communication delay52
Multiple-input and multiple-output encoders with DNA-based winner-take-all neural Networks51
Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection51
Quality-diversity based semi-autonomous teleoperation using reinforcement learning51
A novel two-layer fuzzy neural network for solving inequality-constrained 50
INN/ENNS/JNNS - Membership Applic. Form50
Effects of impulse on prescribed-time synchronization of switching complex networks50
Cosine convolutional neural network and its application for seizure detection50
Simultaneous neural network approximation for smooth functions49
Information theory-guided heuristic progressive multi-view coding49
Return of the normal distribution: Flexible deep continual learning with variational auto-encoders49
Quantization-aware training for low precision photonic neural networks49
Data-driven optimal tracking control for nonlinear systems with performance constraints via adaptive dynamic programming48
HirMTL: Hierarchical Multi-Task Learning for dense scene understanding48
Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding48
Gradient flow-based iterative pruning for efficient and high-quality lightweight diffusion models48
G2BFNN: Genera48
Continual learning with Bayesian compression for shared and private latent representations47
Editorial Board47
Structure regularized consensus dynamic anchor graph learning for incomplete multi-view clustering47
Editorial Board47
Mittag-Leffler stability of fractional-order quaternion-valued memristive neural networks with generalized piecewise constant argument47
Current Events47
CosELU: An improved activation deep neural network for EEG signal recognition in stroke patients46
An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment46
MOAL: Multi-view Out-of-distribution Awareness Learning46
INN/ENNS/JNNS - Membership Applic. Form46
Towards understanding theoretical advantages of complex-reaction networks46
Current Events46
Corrigendum to “Self-Referencing agents for unsupervised reinforcement learning” [Neural Networks Volume 188, August 2025, 107448]46
psoResNet: An improved PSO-based residual network search algorithm45
Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification45
UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network45
BDM-YOLOv8n: A high-performance model for accurate fire detection in aerial imagery45
Joint weight optimization for partial domain adaptation via kernel statistical distance estimation45
Heterophilous distribution propagation for Graph Neural Networks45
Intra- and inter-channel deep convolutional neural network with dynamic label smoothing for multichannel biosignal analysis45
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization45
2DHeadPose: A simple and effective annotation method for the head pose in RGB images and its dataset44
SREGS: Sparse-view Gaussian radiance fields with geometric regularization and region exploration44
BC-PMJRS: A Brain Computing-inspired Predefined Multimodal Joint Representation Spaces for enhanced cross-modal learning44
Inter-participant transfer learning with attention based domain adversarial training for P300 detection44
A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion44
Tailoring knowledge for empowered cooperative actions in multi-agent reinforcement learning44
Backpropagation Neural Tree44
Spike-Hammer: An Efficient Spike-Driven Hybrid Architecture for Multi-Modal Emotion Recognition with Physiological Signals44
Energy controls wave propagation in a neural network with spatial stimuli44
Self-guided disentangled representation learning for single image dehazing44
An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control43
Brain-inspired chaotic backpropagation for MLP43
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots43
Sampled-based adaptive event-triggered resilient control for multiagent systems with hybrid cyber-attacks43
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks43
Long-range zero-shot generative deep network quantization43
Towards a unified framework for graph-based multi-view clustering43
Self-adaptive label discovery and multi-view fusion for complementary label learning43
A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification42
Mask-Shift-Inference: A novel paradigm for domain generalization42
A general framework for robust stability analysis of neural networks with discrete time delays42
ComCo: Complementary supervised contrastive learning for complementary label learning42
Set stabilization of logical control networks: A minimum node control approach42
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks42
High-order diversity feature learning for pedestrian attribute recognition42
Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets42
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition42
Predictive coding with spiking neural networks: A survey42
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers41
DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation41
Robust open intent classification in many-shot and few-shot scenarios41
Multi-scale graph harmonies: Unleashing U-Net’s potential for medical image segmentation through contrastive learning41
Exploring quantum neural networks for binary classification on MNIST dataset: A swap test approach41
Representation-driven sampling and adaptive policy resetting for improving multi-Agent reinforcement learning41
Distributional generative adversarial imitation learning with reproducing kernel generalization41
A framework for controllable Pareto front learning with completed scalarization functions and its applications40
Modeling learnable electrical synapse for high precision spatio-temporal recognition40
Unified analysis of stability and dissipativity for inertial memristive multidimensional-valued neural networks with time-varying delays via non-reduced order method40
CT-Net: Asymmetric compound branch Transformer for medical image segmentation40
Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment40
Causality guided co-attention network for visual question answering40
Robust self-organizing fuzzy neural network with data immunity evaluation for industrial process modeling40
PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins40
SSR1M: A stochastic SR1 method with momentum acceleration for non-Convex optimization40
Batch self-organizing memory neural network for continual supervised learning40
Medical image segmentation network based on multi-scale frequency domain filter39
Pre- to post-contrast medical image synthesis with outline-guide accelerate diffusion model39
Fixed-time synchronization of delayed memristive neural networks with impulsive effects via novel fixed-time stability theorem39
Possibilistic classification by support vector networks39
Illumination-aware divide-and-conquer network for improperly-exposed image enhancement38
Progressive discretization for generative retrieval: A self-supervised approach to high-quality DocID generation38
INN/ENNS/JNNS - Membership Applic. Form38
A survey on few-shot class-incremental learning38
LUFormer : A luminance-informed localized transformer with frequency augmentation for nighttime flare removal38
Editorial Board38
Refining visual token sequence for efficient image captioning38
Generation, division and training: A promising method for source-free unsupervised domain adaptation37
ProMask: Probability mask representation for skeleton detection37
Distributed adaptive robust containment control for reaction–diffusion neural networks with external disturbances under directed graphs37
Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors37
LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning37
Sparse factorization of square matrices with application to neural attention modeling37
INN/ENNS/JNNS - Membership Applic. Form37
Informative pairs mining based adaptive metric learning for adversarial domain adaptation36
A selection perturbative hyper-heuristic for neural architecture search36
GuidedDE: Targeted black-box adversarial attacks via confidence-guided mutation on automatic speech recognition systems36
Communication-efficient distributed learning with Local Immediate Error Compensation36
Privacy-preserving personalized federated prompt learning for vision-language models36
Deep brain stimulation and lag synchronization in a memristive two-neuron network36
FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning36
M236
TFRS: A task-level feature rectification and separation method for few-shot video action recognition36
Combining external-latent attention for medical image segmentation36
A cause fusion framework with information bottleneck for conversational causal emotion entailment35
Few-shot object detection via semantic prompts and classifier decoupling35
Dominant preference decoupling and guided perturbed preference injection for cross-domain sequence recommendation35
Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings35
Knowledge-distillation based personalized federated learning with distribution constraints35
Bifurcations of a delayed fractional-order BAM neural network via new parameter perturbations35
Probabilistic-sampling-based asynchronous control for semi-Markov jumping neural networks with reaction–diffusion terms35
ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints35
Efficient learning rate adaptation based on hierarchical optimization approach34
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index34
PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning34
Iterative neural networks for improving memory capacity34
Corrigendum to “Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data” [Neural Networks 163 (2023) 272–285]34
Deep one-class probability learning for end-to-end image classification34
G-NeuroDAVIS: A generative model for data visualization through a generalized embedding34
SimTA++: Simple attention neural network for clinical asynchronous time series34
Neural Networks Referees in 202434
Internal sensory models allow for balance control using muscle spindle acceleration feedback33
UMS2-ODNet: Un33
Event-triggered impulsive cluster synchronization of coupled reaction–diffusion neural networks and its application to image encryption33
Align then clip: Refining graph for face clustering33
Temporal multi-modal knowledge graph generation for link prediction33
LCMF-Net: A lightweight collaborative multimodal fusion network for brain tumor segmentation33
Joint generative and alignment adversarial learning for robust incomplete multi-view clustering33
A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem33
INN/ENNS/JNNS - Membership Applic. Form33
fastiSSM: Fast inference of state space model with online model approximation in frequency-domain33
Fixed/prescribed-time synchronization of state-dependent switching neural networks with stochastic disturbance and impulsive effects33
Credit assignment with predictive contribution measurement in multi-agent reinforcement learning33
Genetic hyperparameter optimization with Modified Scalable-Neighbourhood Component Analysis for breast cancer prognostication33
Dynamic comprehensive difficulty knowledge cells based on KAN network and stable learning for knowledge tracing33
Self-balancing Incremental Broad Learning System with privacy protection33
Dilated memory in hierarchical reinforcement learning for long-horizontal task33
Simignore: Exploring and enhancing multimodal large model complex reasoning via similarity computation33
Sequential safe static and dynamic screening rule for accelerating support tensor machine32
Learning in PINNs: Phase transition, diffusion equilibrium, and generalization32
Functional loops: Monitoring functional organization of deep neural networks using algebraic topology32
Neuroadaptive fixed-time fault-tolerant containment control of high-order MIMO Nonlinear multi-agent systems in affine strict-feedback form32
Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks32
A new pipeline with ultimate search efficiency for neural architecture search32
Adaptive Diversity Induced Reweighting for long-tailed classification32
A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control32
A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks32
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