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 2021-12-01 to 2025-12-01.)
ArticleCitations
Editorial Board365
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals340
Corrigendum to “Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems” [Neural Networks 187 (2025) 107412]323
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation236
NN/ENNS/JNNS - Membership Applic. Form216
Towards global neural network abstractions with locally-exact reconstruction190
Editorial Board179
Editorial Board154
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG140
Event-triggered H135
Reinforced mixture learning127
Deep semi-supervised learning via dynamic anchor graph embedding in latent space126
Predictive accuracy of CNN for cortical oscillatory activity in an acute rat model of parkinsonism126
Aspect sentiment learning for Aspect-Level Sentiment Classification124
EAAR: Efficient and Accurate Action Recognition model with enhanced spatio-temporal perception122
Distributed multi-timescale algorithm for nonconvex optimization problem: A control perspective118
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics113
Enhancing space–time video super-resolution via spatial–temporal feature interaction110
MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule110
Learning shared template representation with augmented feature for multi-object pose estimation105
RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation103
Dynamic planning in hierarchical active inference101
Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation101
Nonlinear feature selection for support vector quantile regression97
Attention-based random forest and contamination model94
Graph anomaly detection based on hybrid node representation learning91
INN/ENNS/JNNS - Membership Applic. Form91
CURRENT EVENTS90
Central loss guides coordinated Transformer for reliable anatomical landmark detection89
Backdoor attacks on unsupervised graph representation learning88
Flexibly regularized mixture models and application to image segmentation87
RASP: Regularization-based Amplitude Saliency Pruning86
KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings85
Salience Interest Option: Temporal abstraction with salience interest functions84
Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks84
Graph convolutional network with tree-guided anisotropic message passing83
DPGCL: Dual pass filtering based graph contrastive learning82
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach80
Partial label learning: Taxonomy, analysis and outlook80
MsDUNE: A multi-scale masked temporal fusion framework for speaker-independent lipreading via Dirichlet uncertainty estimation80
Automated tactics planning for cyber attack and defense based on large language model agents78
Deep prior embedding method for Electrical Impedance Tomography78
Oblique and rotation double random forest77
Variational autoencoder for distributional learning via quantile function estimation77
Regional crowd flow estimation from aerial view75
CognitMoE: A cognition-aware collaborative multi-expert network for bipolar disorder diagnosis75
Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber–physical systems under deception attacks75
Adams-based hierarchical features fusion network for image dehazing74
Deep graph representation learning for influence maximization with accelerated inference73
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment73
Explainable hybrid word representations for sentiment analysis of financial news70
SNR: Symbolic network-based rectifiable learning framework for symbolic regression70
Sign potential-driven multiplicative optimization for robust deep reinforcement learning70
Fixed-time synchronization of proportional delay memristive complex-valued competitive neural networks67
Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction66
Spatial–temporal recurrent reinforcement learning for autonomous ships66
Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition66
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor66
Neural operators for robust output regulation of hyperbolic PDEs65
Graph-level Contrastive Learning with Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis using rs-fMRI64
Fixed/Preassigned-time synchronization of quaternion-valued neural networks via pure power-law control63
3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision63
Boosting adversarial robustness via self-paced adversarial training62
Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild62
On the Kolmogorov neural networks61
DMPP: Differentiable multi-pruner and predictor for neural network pruning61
Early stopping by correlating online indicators in neural networks60
Universality of reservoir systems with recurrent neural networks60
UTRAD: Anomaly detection and localization with U-Transformer60
ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal60
Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection60
Learning dynamic graph representations through timespan view contrasts60
CURRENT EVENTS60
Multiple-input and multiple-output encoders with DNA-based winner-take-all neural Networks59
A novel two-layer fuzzy neural network for solving inequality-constrained 59
Model-free reinforcement learning control with zero-min barrier functions for constrained systems59
Modeling limit order trading with a continuous action policy for deep reinforcement learning58
INN/ENNS/JNNS - Membership Applic. Form58
Quality-diversity based semi-autonomous teleoperation using reinforcement learning57
G2BFNN: Genera57
PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins57
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers57
Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding57
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization57
Pinning multisynchronization of delayed fractional-order memristor-based neural networks with nonlinear coupling and almost-periodic perturbations56
Combining STDP and binary networks for reinforcement learning from images and sparse rewards55
Simultaneous neural network approximation for smooth functions55
Inter-participant transfer learning with attention based domain adversarial training for P300 detection54
Self-adaptive label discovery and multi-view fusion for complementary label learning54
An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment53
Corrigendum to “Self-Referencing agents for unsupervised reinforcement learning” [Neural Networks Volume 188, August 2025, 107448]53
CosELU: An improved activation deep neural network for EEG signal recognition in stroke patients53
Heterophilous distribution propagation for Graph Neural Networks53
Continual learning with Bayesian compression for shared and private latent representations53
Joint weight optimization for partial domain adaptation via kernel statistical distance estimation53
Long-range zero-shot generative deep network quantization52
Information theory-guided heuristic progressive multi-view coding52
Return of the normal distribution: Flexible deep continual learning with variational auto-encoders52
Editorial Board51
Current Events51
Impact of axonal delay on structure development in a multi-layered network51
Current Events50
Editorial Board50
Distributional generative adversarial imitation learning with reproducing kernel generalization49
INN/ENNS/JNNS - Membership Applic. Form49
2DHeadPose: A simple and effective annotation method for the head pose in RGB images and its dataset49
Exploring quantum neural networks for binary classification on MNIST dataset: A swap test approach49
Towards understanding theoretical advantages of complex-reaction networks49
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition48
ComCo: Complementary supervised contrastive learning for complementary label learning48
SREGS: Sparse-view Gaussian radiance fields with geometric regularization and region exploration48
A framework for controllable Pareto front learning with completed scalarization functions and its applications48
Data-driven optimal tracking control for nonlinear systems with performance constraints via adaptive dynamic programming48
Modeling learnable electrical synapse for high precision spatio-temporal recognition47
Brain-inspired chaotic backpropagation for MLP47
High-order diversity feature learning for pedestrian attribute recognition46
Illumination-aware divide-and-conquer network for improperly-exposed image enhancement46
Towards a unified framework for graph-based multi-view clustering46
CT-Net: Asymmetric compound branch Transformer for medical image segmentation46
Energy controls wave propagation in a neural network with spatial stimuli45
Fixed-time synchronization of delayed memristive neural networks with impulsive effects via novel fixed-time stability theorem45
UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network45
Structure regularized consensus dynamic anchor graph learning for incomplete multi-view clustering45
psoResNet: An improved PSO-based residual network search algorithm45
Medical image segmentation network based on multi-scale frequency domain filter44
Mask-Shift-Inference: A novel paradigm for domain generalization44
Cosine convolutional neural network and its application for seizure detection44
MOAL: Multi-view Out-of-distribution Awareness Learning44
Possibilistic classification by support vector networks44
Backpropagation Neural Tree43
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks43
Self-guided disentangled representation learning for single image dehazing43
BC-PMJRS: A Brain Computing-inspired Predefined Multimodal Joint Representation Spaces for enhanced cross-modal learning43
Mittag-Leffler stability of fractional-order quaternion-valued memristive neural networks with generalized piecewise constant argument43
Representation-driven sampling and adaptive policy resetting for improving multi-Agent reinforcement learning42
MSB-VQA: Overcoming multiple source biases for robust visual question answering42
Causality guided co-attention network for visual question answering42
Sampled-based adaptive event-triggered resilient control for multiagent systems with hybrid cyber-attacks42
Pre- to post-contrast medical image synthesis with outline-guide accelerate diffusion model42
Intra- and inter-channel deep convolutional neural network with dynamic label smoothing for multichannel biosignal analysis42
Robust open intent classification in many-shot and few-shot scenarios42
M3T-CKD: A multi-modal multi-teacher contrastive knowledge distillation framework for survival prediction of patients with carotid atherosclerosis42
A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion42
A general framework for robust stability analysis of neural networks with discrete time delays41
Neural network surgery: Combining training with topology optimization41
Understanding and mitigating noise in trained deep neural networks41
An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control41
HirMTL: Hierarchical Multi-Task Learning for dense scene understanding41
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots41
A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection41
Set stabilization of logical control networks: A minimum node control approach40
Quantization-aware training for low precision photonic neural networks40
Predictive Coding with Spiking Neural Networks: a Survey40
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks40
Batch Self-organizing Memory Neural Network for Continual Supervised Learning40
On the capacity of deep generative networks for approximating distributions40
Effects of impulse on prescribed-time synchronization of switching complex networks40
Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification40
A survey on few-shot class-incremental learning40
Enriching query semantics for code search with reinforcement learning40
Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets39
Complete synchronization of discrete-time fractional-order BAM neural networks with leakage and discrete delays39
Refining visual token sequence for efficient image captioning39
Meta attention for Off-Policy Actor-Critic39
Multi-scale graph harmonies: Unleashing U-Net’s potential for medical image segmentation through contrastive learning39
Progressive discretization for generative retrieval: A self-supervised approach to high-quality DocID generation39
An event-triggered collaborative neurodynamic approach to distributed global optimization39
LUFormer : A luminance-informed localized transformer with frequency augmentation for nighttime flare removal39
Editorial Board39
Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment39
INN/ENNS/JNNS - Membership Applic. Form39
INN/ENNS/JNNS - Membership Applic. Form39
Sparse factorization of square matrices with application to neural attention modeling38
Genetic hyperparameter optimization with Modified Scalable-Neighbourhood Component Analysis for breast cancer prognostication38
Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors38
ProMask: Probability mask representation for skeleton detection38
Deep one-class probability learning for end-to-end image classification38
PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning38
Communication-efficient distributed learning with Local Immediate Error Compensation37
Temporal multi-modal knowledge graph generation for link prediction37
Corrigendum to “Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data” [Neural Networks 163 (2023) 272–285]37
Disentangled representation learning for multi-view clustering via von Mises–Fisher hyperspherical embedding37
Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning37
Distributed adaptive robust containment control for reaction–diffusion neural networks with external disturbances under directed graphs37
Internal sensory models allow for balance control using muscle spindle acceleration feedback37
SimTA++: Simple attention neural network for clinical asynchronous time series37
Bifurcations of a delayed fractional-order BAM neural network via new parameter perturbations37
Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks36
Neural Networks Referees in 202436
Iterative neural networks for improving memory capacity36
Structured Ensembles: An approach to reduce the memory footprint of ensemble methods36
INN/ENNS/JNNS - Membership Applic. Form36
Event-centric multi-modal fusion method for dense video captioning36
Sequential safe static and dynamic screening rule for accelerating support tensor machine36
Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design36
Restarted multiple kernel algorithms with self-guiding for large-scale multi-view clustering36
Functional loops: Monitoring functional organization of deep neural networks using algebraic topology36
A Hierarchical Mixture-Of-Experts Framework for Few Labeled Node Classification35
A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks35
A new pipeline with ultimate search efficiency for neural architecture search35
A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency35
Continual learning with attentive recurrent neural networks for temporal data classification35
Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering34
ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation34
LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning34
Contrastive learning of graphs under label noise34
Probabilistic-sampling-based asynchronous control for semi-Markov jumping neural networks with reaction–diffusion terms34
Efficient learning rate adaptation based on hierarchical optimization approach34
Informative pairs mining based adaptive metric learning for adversarial domain adaptation34
Unsupervised domain adaptive building semantic segmentation network by edge-enhanced contrastive learning34
TF-BERT: Tensor-based fusion BERT for multimodal sentiment analysis33
Causal Disentanglement Domain Generalization for time-series signal fault diagnosis33
Deep brain stimulation and lag synchronization in a memristive two-neuron network33
TFRS: A task-level feature rectification and separation method for few-shot video action recognition33
Simignore: Exploring and enhancing multimodal large model complex reasoning via similarity computation33
Combining various training and adaptation algorithms for ensemble few-shot classification33
Joint learning of feature and topology for multi-view graph convolutional network32
ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints32
Generation, division and training: A promising method for source-free unsupervised domain adaptation32
UMS2-ODNet: Un32
Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models32
EMAT: Efficient feature fusion network for visual tracking via optimized multi-head attention32
Revisiting graph neural networks from hybrid regularized graph signal reconstruction32
Self-balancing Incremental Broad Learning System with privacy protection32
Combining external-latent attention for medical image segmentation32
Event-triggered impulsive cluster synchronization of coupled reaction–diffusion neural networks and its application to image encryption32
A cause fusion framework with information bottleneck for conversational causal emotion entailment31
Credit assignment with predictive contribution measurement in multi-agent reinforcement learning31
Attribute-guided feature fusion network with knowledge-inspired attention mechanism for multi-source remote sensing classification31
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index31
Bio-inspired two-stage network for efficient RGB-D salient object detection31
A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control31
Dominant preference decoupling and guided perturbed preference injection for cross-domain sequence recommendation31
Graph Neural Network contextual embedding for Deep Learning on tabular data31
Adaptive Diversity Induced Reweighting for long-tailed classification31
M231
Neuroadaptive fixed-time fault-tolerant containment control of high-order MIMO Nonlinear multi-agent systems in affine strict-feedback form30
SCMEA: A stacked co-enhanced model for entity alignment based on multi-aspect information fusion and bidirectional contrastive learning30
DCDLN: A densely connected convolutional dynamic learning network for malaria disease diagnosis30
SCADA securing system using deep learning to prevent cyber infiltration30
Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings30
A novel semi-supervised meta learning method for subject-transfer brain–computer interface30
Enhancing multiview synergy: Robust learning by exploiting the wave loss function with consensus and complementarity principles30
FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning30
A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem30
Online continual decoding of streaming EEG signal with a balanced and informative memory buffer30
Stability and passivity analysis of delayed neural networks via an improved matrix-valued polynomial inequality30
Cross-modality interaction for few-shot multispectral object detection with semantic knowledge29
Quasi-synchronization of drive–response systems with parameter mismatch via event-triggered impulsive control29
Revisiting the fragility of influence functions29
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