Neural Networks

Papers
(The median citation count of Neural Networks is 4. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
Editorial Board333
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals314
Towards global neural network abstractions with locally-exact reconstruction298
Predictive accuracy of CNN for cortical oscillatory activity in an acute rat model of parkinsonism208
Reinforced mixture learning196
Editorial Board171
NN/ENNS/JNNS - Membership Applic. Form152
Adams-based hierarchical features fusion network for image dehazing151
Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition120
Event-triggered H120
Corrigendum to “Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems” [Neural Networks 187 (2025) 107412]119
Editorial Board116
KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings113
Early stopping by correlating online indicators in neural networks111
A CNN model embedded with local feature knowledge and its application to time-varying signal classification110
Explainable hybrid word representations for sentiment analysis of financial news109
Attention-based random forest and contamination model107
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG106
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment104
Distributed multi-timescale algorithm for nonconvex optimization problem: A control perspective103
Deep prior embedding method for Electrical Impedance Tomography99
RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation99
INN/ENNS/JNNS - Membership Applic. Form96
Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation94
Central loss guides coordinated Transformer for reliable anatomical landmark detection90
Learning to reweight examples in multi-label classification89
Graph anomaly detection based on hybrid node representation learning88
CURRENT EVENTS86
Deep graph representation learning for influence maximization with accelerated inference84
Learning shared template representation with augmented feature for multi-object pose estimation83
Learning dynamic graph representations through timespan view contrasts83
Salience Interest Option: Temporal abstraction with salience interest functions83
Sign potential-driven multiplicative optimization for robust deep reinforcement learning81
Universality of reservoir systems with recurrent neural networks80
Fixed-time synchronization of proportional delay memristive complex-valued competitive neural networks80
An efficient encoder–decoder model for portrait depth estimation from single images trained on pixel-accurate synthetic data79
Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks77
Enhancing space–time video super-resolution via spatial–temporal feature interaction77
Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber–physical systems under deception attacks73
Flexibly regularized mixture models and application to image segmentation73
Backdoor attacks on unsupervised graph representation learning73
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation71
RASP: Regularization-based Amplitude Saliency Pruning71
Partial label learning: Taxonomy, analysis and outlook70
DMPP: Differentiable multi-pruner and predictor for neural network pruning70
MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule70
Dynamic planning in hierarchical active inference69
Boosting adversarial robustness via self-paced adversarial training69
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics69
On the Kolmogorov neural networks69
Neural operators for robust output regulation of hyperbolic PDEs68
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor68
Deep semi-supervised learning via dynamic anchor graph embedding in latent space67
Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild66
Spatial–temporal recurrent reinforcement learning for autonomous ships65
Reinforcement Learning with Formation Energy Feedback for Material Diffusion Models64
SNR: Symbolic network-based rectifiable learning framework for symbolic regression64
Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction63
Oblique and rotation double random forest62
3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision62
ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal62
Fixed/Preassigned-time synchronization of quaternion-valued neural networks via pure power-law control61
UTRAD: Anomaly detection and localization with U-Transformer60
DPGCL: Dual pass filtering based graph contrastive learning60
Graph convolutional network with tree-guided anisotropic message passing59
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach59
CURRENT EVENTS59
Nonlinear feature selection for support vector quantile regression59
INN/ENNS/JNNS - Membership Applic. Form58
Combining STDP and binary networks for reinforcement learning from images and sparse rewards57
Multiple-input and multiple-output encoders with DNA-based winner-take-all neural Networks57
A novel two-layer fuzzy neural network for solving inequality-constrained 57
Corrigendum to “Self-Referencing agents for unsupervised reinforcement learning” [Neural Networks Volume 188, August 2025, 107448]57
Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification56
Convolutional fusion network for monaural speech enhancement56
Model-free reinforcement learning control with zero-min barrier functions for constrained systems56
MOAL: Multi-view Out-of-distribution Awareness Learning55
Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection55
psoResNet: An improved PSO-based residual network search algorithm55
Structure regularized consensus dynamic anchor graph learning for incomplete multi-view clustering55
Unsupervised multi-sense language models for natural language processing tasks53
An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control53
Neural network surgery: Combining training with topology optimization53
On the characterization of cognitive tasks using activity-specific short-lived synchronization between electroencephalography channels53
Long-range zero-shot generative deep network quantization53
Joint weight optimization for partial domain adaptation via kernel statistical distance estimation53
Exploring quantum neural networks for binary classification on MNIST dataset: A swap test approach52
Pinning multisynchronization of delayed fractional-order memristor-based neural networks with nonlinear coupling and almost-periodic perturbations52
Towards a unified framework for graph-based multi-view clustering52
Fixed-time synchronization of delayed memristive neural networks with impulsive effects via novel fixed-time stability theorem52
Multi-scale graph harmonies: Unleashing U-Net’s potential for medical image segmentation through contrastive learning52
Current Events51
Editorial Board51
Brain-inspired chaotic backpropagation for MLP51
Editorial Board50
Modeling limit order trading with a continuous action policy for deep reinforcement learning50
Current Events50
ComCo: Complementary supervised contrastive learning for complementary label learning50
Cosine convolutional neural network and its application for seizure detection49
A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion49
HirMTL: Hierarchical Multi-Task Learning for dense scene understanding49
Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding48
INN/ENNS/JNNS - Membership Applic. Form48
Towards understanding theoretical advantages of complex-reaction networks48
Distributional generative adversarial imitation learning with reproducing kernel generalization47
Return of the normal distribution: Flexible deep continual learning with variational auto-encoders47
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks47
Quality-diversity based semi-autonomous teleoperation using reinforcement learning47
Information theory-guided heuristic progressive multi-view coding47
Simultaneous neural network approximation for smooth functions46
G2BFNN: Genera46
2DHeadPose: A simple and effective annotation method for the head pose in RGB images and its dataset46
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers46
An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment46
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization46
A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection46
PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins45
BC-PMJRS: A Brain Computing-inspired Predefined Multimodal Joint Representation Spaces for enhanced cross-modal learning45
Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets45
A framework for controllable Pareto front learning with completed scalarization functions and its applications44
Inter-participant transfer learning with attention based domain adversarial training for P300 detection44
Mask-Shift-Inference: A novel paradigm for domain generalization44
Possibilistic classification by support vector networks44
Self-guided disentangled representation learning for single image dehazing44
Illumination-aware divide-and-conquer network for improperly-exposed image enhancement43
Self-adaptive label discovery and multi-view fusion for complementary label learning43
On the capacity of deep generative networks for approximating distributions43
Heterophilous distribution propagation for Graph Neural Networks42
Continual learning with Bayesian compression for shared and private latent representations42
Medical image segmentation network based on multi-scale frequency domain filter42
Quantization-aware training for low precision photonic neural networks42
High-order diversity feature learning for pedestrian attribute recognition42
Effects of impulse on prescribed-time synchronization of switching complex networks42
UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network42
Sampled-based adaptive event-triggered resilient control for multiagent systems with hybrid cyber-attacks42
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots42
Impact of axonal delay on structure development in a multi-layered network42
CT-Net: Asymmetric compound branch Transformer for medical image segmentation42
Capped L2,<41
Mittag-Leffler stability of fractional-order quaternion-valued memristive neural networks with generalized piecewise constant argument41
Understanding and mitigating noise in trained deep neural networks41
Enriching query semantics for code search with reinforcement learning41
A general framework for robust stability analysis of neural networks with discrete time delays41
Backpropagation Neural Tree40
Set stabilization of logical control networks: A minimum node control approach40
Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment40
A survey on few-shot class-incremental learning40
Intra- and inter-channel deep convolutional neural network with dynamic label smoothing for multichannel biosignal analysis40
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition40
Stability and passivity analysis of delayed neural networks via an improved matrix-valued polynomial inequality39
ProMask: Probability mask representation for skeleton detection39
Energy controls wave propagation in a neural network with spatial stimuli39
Restarted multiple kernel algorithms with self-guiding for large-scale multi-view clustering39
Complete synchronization of discrete-time fractional-order BAM neural networks with leakage and discrete delays39
Modeling learnable electrical synapse for high precision spatio-temporal recognition39
Meta attention for Off-Policy Actor-Critic39
Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering39
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks39
Neuroadaptive fixed-time fault-tolerant containment control of high-order MIMO Nonlinear multi-agent systems in affine strict-feedback form39
Attribute-guided feature fusion network with knowledge-inspired attention mechanism for multi-source remote sensing classification38
DCDLN: A densely connected convolutional dynamic learning network for malaria disease diagnosis38
Credit assignment with predictive contribution measurement in multi-agent reinforcement learning38
INN/ENNS/JNNS - Membership Applic. Form38
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index38
Event-centric multi-modal fusion method for dense video captioning38
Self-balancing Incremental Broad Learning System with privacy protection38
Temporal multi-modal knowledge graph generation for link prediction38
UMS2-ODNet: Un38
Recurrent neural network pruning using dynamical systems and iterative fine-tuning38
INN/ENNS/JNNS - Membership Applic. Form38
Distributed adaptive robust containment control for reaction–diffusion neural networks with external disturbances under directed graphs37
SCMEA: A stacked co-enhanced model for entity alignment based on multi-aspect information fusion and bidirectional contrastive learning37
Genetic hyperparameter optimization with Modified Scalable-Neighbourhood Component Analysis for breast cancer prognostication37
Corrigendum to “Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data” [Neural Networks 163 (2023) 272–285]37
Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks37
Editorial Board37
Generation, division and training: A promising method for source-free unsupervised domain adaptation36
LUFormer : A luminance-informed localized transformer with frequency augmentation for nighttime flare removal36
Progressive discretization for generative retrieval: A self-supervised approach to high-quality DocID generation36
Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning36
Sparse factorization of square matrices with application to neural attention modeling36
Joint learning of feature and topology for multi-view graph convolutional network36
An event-triggered collaborative neurodynamic approach to distributed global optimization35
A Hierarchical Mixture-Of-Experts Framework for Few Labeled Node Classification35
Neural Networks Referees in 202435
Structured Ensembles: An approach to reduce the memory footprint of ensemble methods35
Iterative neural networks for improving memory capacity35
Efficient learning rate adaptation based on hierarchical optimization approach34
Sequential safe static and dynamic screening rule for accelerating support tensor machine34
Probabilistic-sampling-based asynchronous control for semi-Markov jumping neural networks with reaction–diffusion terms34
Internal sensory models allow for balance control using muscle spindle acceleration feedback34
Deep one-class probability learning for end-to-end image classification34
PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning34
Bifurcations of a delayed fractional-order BAM neural network via new parameter perturbations34
A new pipeline with ultimate search efficiency for neural architecture search34
A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem34
Communication-efficient distributed learning with Local Immediate Error Compensation34
INN/ENNS/JNNS - Membership Applic. Form34
Continual learning with attentive recurrent neural networks for temporal data classification33
Informative pairs mining based adaptive metric learning for adversarial domain adaptation33
Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings33
Unsupervised domain adaptive building semantic segmentation network by edge-enhanced contrastive learning33
Combining external-latent attention for medical image segmentation33
Functional loops: Monitoring functional organization of deep neural networks using algebraic topology33
LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning33
Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models33
Adaptive Diversity Induced Reweighting for long-tailed classification33
Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design33
A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency33
Simignore: Exploring and enhancing multimodal large model complex reasoning via similarity computation33
EMAT: Efficient feature fusion network for visual tracking via optimized multi-head attention33
Enhancing multiview synergy: Robust learning by exploiting the wave loss function with consensus and complementarity principles33
Bio-inspired two-stage network for efficient RGB-D salient object detection32
A novel semi-supervised meta learning method for subject-transfer brain–computer interface32
M232
Online continual decoding of streaming EEG signal with a balanced and informative memory buffer32
A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks32
SCADA securing system using deep learning to prevent cyber infiltration32
Contrastive learning of graphs under label noise32
Deep brain stimulation and lag synchronization in a memristive two-neuron network32
Revisiting graph neural networks from hybrid regularized graph signal reconstruction32
Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors32
Graph-Patchformer: Patch interaction transformer with adaptive graph learning for multivariate time series forecasting32
FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning31
Graph Neural Network contextual embedding for Deep Learning on tabular data31
ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints31
ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation31
TF-BERT: Tensor-based fusion BERT for multimodal sentiment analysis31
Causal Disentanglement Domain Generalization for time-series signal fault diagnosis31
Combining various training and adaptation algorithms for ensemble few-shot classification30
Event-triggered impulsive cluster synchronization of coupled reaction–diffusion neural networks and its application to image encryption30
Editorial Board30
Uncertainty-aware prototypical learning for anomaly detection in medical images30
INN/ENNS/JNNS - Membership Applic. Form30
A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control30
Editorial Board30
Deep learning based spectral CT imaging30
Dual-stage feedback network for lightweight color image compression artifact reduction30
TFRS: A task-level feature rectification and separation method for few-shot video action recognition30
CNN-Transformer and Channel-Spatial Attention based network for hyperspectral image classification with few samples30
A multiscale distributed neural computing model database (NCMD) for neuromorphic architecture30
Learning a discriminative SPD manifold neural network for image set classification30
INN/ENNS/JNNS - Membership Applic. Form30
Wasserstein task embedding for measuring task similarities29
Distance metric learning based on the class center and nearest neighbor relationship29
Influence Enhanced Sparse Coordination Graphs for Multi-Agent Reinforcement Learning29
Endpoint-aware audio-visual speech enhancement utilizing dynamic weight modulation based on SNR estimation29
Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision29
Toward a cerebello-thalamo-cortical computational model of spinocerebellar ataxia29
Understanding the role of pathways in a deep neural network29
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