Neural Networks

Article	Citations
Editorial Board	385
Corrigendum to “Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems” [Neural Networks 187 (2025) 107412]	349
NN/ENNS/JNNS - Membership Applic. Form	335
Editorial Board	243
Editorial Board	212
Reinforced mixture learning	156
Aspect sentiment learning for Aspect-Level Sentiment Classification	146
EAAR: Efficient and Accurate Action Recognition model with enhanced spatio-temporal perception	144
Distributed multi-timescale algorithm for nonconvex optimization problem: A control perspective	137
Learning shared template representation with augmented feature for multi-object pose estimation	132
Enhancing space–time video super-resolution via spatial–temporal feature interaction	132
RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation	129
Learning dynamic graph representations through timespan view contrasts	128
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals	120
Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation	118
INN/ENNS/JNNS - Membership Applic. Form	109
Central loss guides coordinated Transformer for reliable anatomical landmark detection	107
MsDUNE: A multi-scale masked temporal fusion framework for speaker-independent lipreading via Dirichlet uncertainty estimation	106
Automated tactics planning for cyber attack and defense based on large language model agents	103
Deep prior embedding method for Electrical Impedance Tomography	101
Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction	99
KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings	96
CognitMoE: A cognition-aware collaborative multi-expert network for bipolar disorder diagnosis	94
Regional crowd flow estimation from aerial view	94
Variational autoencoder for distributional learning via quantile function estimation	93

Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation	92
Spatial–temporal recurrent reinforcement learning for autonomous ships	89
DPGCL: Dual pass filtering based graph contrastive learning	87
3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision	87
Salience Interest Option: Temporal abstraction with salience interest functions	85
Deep semi-supervised learning via dynamic anchor graph embedding in latent space	84
Fixed/Preassigned-time synchronization of quaternion-valued neural networks via pure power-law control	84
Partial label learning: Taxonomy, analysis and outlook	83
Graph anomaly detection based on hybrid node representation learning	83
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics	83
Universality of reservoir systems with recurrent neural networks	80
Sign potential-driven multiplicative optimization for robust deep reinforcement learning	79
Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild	78
Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber–physical systems under deception attacks	77
Flexibly regularized mixture models and application to image segmentation	77
DMPP: Differentiable multi-pruner and predictor for neural network pruning	77
SNR: Symbolic network-based rectifiable learning framework for symbolic regression	76
Predictive accuracy of CNN for cortical oscillatory activity in an acute rat model of parkinsonism	73
Attention-based random forest and contamination model	73
Event-triggered H∞	72
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG	71
Adams-based hierarchical features fusion network for image dehazing	70
On the Kolmogorov neural networks	68
Deep graph representation learning for influence maximization with accelerated inference	68
RASP: Regularization-based Amplitude Saliency Pruning	67
Boosting adversarial robustness via self-paced adversarial training	67
Backdoor attacks on unsupervised graph representation learning	67
Dual aggregation based joint-modal similarity hashing for cross-modal retrieval	66
Recurrent stochastic configuration networks with block increments	66
Backdoor samples detection based on perturbation discrepancy consistency in pre-trained language models	66
Oblique and rotation double random forest	65
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment	65
Finite-time and fixed-time self-triggered synchronization of stochastic memristive neural networks and applications in secure communication	65
Nonlinear feature selection for support vector quantile regression	63
ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal	63
Explainable hybrid word representations for sentiment analysis of financial news	62
Dynamic planning in hierarchical active inference	62
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor	62
CURRENT EVENTS	62
Early stopping by correlating online indicators in neural networks	61
Neural operators for robust output regulation of hyperbolic PDEs	61
Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks	60
Graph convolutional network with tree-guided anisotropic message passing	60
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach	60
Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition	60
Fixed-time synchronization of proportional delay memristive complex-valued competitive neural networks	59
MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule	59
UTRAD: Anomaly detection and localization with U-Transformer	59
Towards global neural network abstractions with locally-exact reconstruction	58
A DINO‑Based Progressive Semantic Enhanced Infrared And Visible Image Fusion Network	58

Multiple-input and multiple-output encoders with DNA-based winner-take-all neural Networks	57
A novel two-layer fuzzy neural network for solving inequality-constrained	57
Model-free reinforcement learning control with zero-min barrier functions for constrained systems	57
CURRENT EVENTS	57
INN/ENNS/JNNS - Membership Applic. Form	56
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers	55
Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding	55
G2BFNN: Genera	55
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization	55
Long-range zero-shot generative deep network quantization	53
Return of the normal distribution: Flexible deep continual learning with variational auto-encoders	53
Editorial Board	53
2DHeadPose: A simple and effective annotation method for the head pose in RGB images and its dataset	52
Editorial Board	52
Exploring quantum neural networks for binary classification on MNIST dataset: A swap test approach	52
INN/ENNS/JNNS - Membership Applic. Form	52
Current Events	52
Distributional generative adversarial imitation learning with reproducing kernel generalization	52
Current Events	52
SREGS: Sparse-view Gaussian radiance fields with geometric regularization and region exploration	51
Data-driven optimal tracking control for nonlinear systems with performance constraints via adaptive dynamic programming	51
Simultaneous neural network approximation for smooth functions	50
An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment	50
Self-adaptive label discovery and multi-view fusion for complementary label learning	50
CosELU: An improved activation deep neural network for EEG signal recognition in stroke patients	50
Corrigendum to “Self-Referencing agents for unsupervised reinforcement learning” [Neural Networks Volume 188, August 2025, 107448]	50
Towards understanding theoretical advantages of complex-reaction networks	49
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks	49
MOAL: Multi-view Out-of-distribution Awareness Learning	49
psoResNet: An improved PSO-based residual network search algorithm	48
MSB-VQA: Overcoming multiple source biases for robust visual question answering	47
Representation-driven sampling and adaptive policy resetting for improving multi-Agent reinforcement learning	47
Robust open intent classification in many-shot and few-shot scenarios	47
Modeling limit order trading with a continuous action policy for deep reinforcement learning	47
M3T-CKD: A multi-modal multi-teacher contrastive knowledge distillation framework for survival prediction of patients with carotid atherosclerosis	47
A framework for controllable Pareto front learning with completed scalarization functions and its applications	46
Backpropagation Neural Tree	46
Quality-diversity based semi-autonomous teleoperation using reinforcement learning	46
PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins	46
Heterophilous distribution propagation for Graph Neural Networks	46
Causality guided co-attention network for visual question answering	45
BC-PMJRS: A Brain Computing-inspired Predefined Multimodal Joint Representation Spaces for enhanced cross-modal learning	45
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots	45
UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network	45
Brain-inspired chaotic backpropagation for MLP	45
A general framework for robust stability analysis of neural networks with discrete time delays	44
Medical image segmentation network based on multi-scale frequency domain filter	44
Mittag-Leffler stability of fractional-order quaternion-valued memristive neural networks with generalized piecewise constant argument	43
High-order diversity feature learning for pedestrian attribute recognition	43
Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets	43
A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection	43
Multi-scale graph harmonies: Unleashing U-Net’s potential for medical image segmentation through contrastive learning	43
Set stabilization of logical control networks: A minimum node control approach	43
HirMTL: Hierarchical Multi-Task Learning for dense scene understanding	43
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition	42
Fixed-time synchronization of delayed memristive neural networks with impulsive effects via novel fixed-time stability theorem	42
Pre- to post-contrast medical image synthesis with outline-guide accelerate diffusion model	42
An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control	42
Understanding and mitigating noise in trained deep neural networks	42
Data-free knowledge distillation via text-noise fusion and dynamic adversarial temperature	41
Towards a unified framework for graph-based multi-view clustering	41
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks	41
Information theory-guided heuristic progressive multi-view coding	41
Joint noise detection and L	41
Inter-participant transfer learning with attention based domain adversarial training for P300 detection	41
Modeling learnable electrical synapse for high precision spatio-temporal recognition	41
Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment	41
A semi-looped functional for sampled-data synchronization of delayed neural networks considering communication delay	41
Illumination-aware divide-and-conquer network for improperly-exposed image enhancement	41
Cosine convolutional neural network and its application for seizure detection	40
Possibilistic classification by support vector networks	40
Mask-Shift-Inference: A novel paradigm for domain generalization	40
CT-Net: Asymmetric compound branch Transformer for medical image segmentation	40
Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification	40
Sampled-based adaptive event-triggered resilient control for multiagent systems with hybrid cyber-attacks	40
On the capacity of deep generative networks for approximating distributions	40
Self-guided disentangled representation learning for single image dehazing	40
Continual learning with Bayesian compression for shared and private latent representations	40
Structure regularized consensus dynamic anchor graph learning for incomplete multi-view clustering	40
Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection	40

Enriching query semantics for code search with reinforcement learning	39
Joint weight optimization for partial domain adaptation via kernel statistical distance estimation	39
ComCo: Complementary supervised contrastive learning for complementary label learning	39
Quantization-aware training for low precision photonic neural networks	39
Effects of impulse on prescribed-time synchronization of switching complex networks	39
A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion	39
Energy controls wave propagation in a neural network with spatial stimuli	39
Intra- and inter-channel deep convolutional neural network with dynamic label smoothing for multichannel biosignal analysis	39
A survey on few-shot class-incremental learning	39
Editorial Board	38
An event-triggered collaborative neurodynamic approach to distributed global optimization	38
ProMask: Probability mask representation for skeleton detection	38
INN/ENNS/JNNS - Membership Applic. Form	38
Refining visual token sequence for efficient image captioning	38
Progressive discretization for generative retrieval: A self-supervised approach to high-quality DocID generation	38
Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors	38
Sparse factorization of square matrices with application to neural attention modeling	38
Complete synchronization of discrete-time fractional-order BAM neural networks with leakage and discrete delays	38
LUFormer : A luminance-informed localized transformer with frequency augmentation for nighttime flare removal	38
INN/ENNS/JNNS - Membership Applic. Form	38
Communication-efficient distributed learning with Local Immediate Error Compensation	38
Distributed adaptive robust containment control for reaction–diffusion neural networks with external disturbances under directed graphs	37
Dominant preference decoupling and guided perturbed preference injection for cross-domain sequence recommendation	37
Restarted multiple kernel algorithms with self-guiding for large-scale multi-view clustering	37
Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning	37
A cause fusion framework with information bottleneck for conversational causal emotion entailment	37
Disentangled representation learning for multi-view clustering via von Mises–Fisher hyperspherical embedding	37
Corrigendum to “Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data” [Neural Networks 163 (2023) 272–285]	37
Continual learning with attentive recurrent neural networks for temporal data classification	37
Functional loops: Monitoring functional organization of deep neural networks using algebraic topology	36
Neural Networks Referees in 2024	36
INN/ENNS/JNNS - Membership Applic. Form	36
Iterative neural networks for improving memory capacity	36
A Hierarchical Mixture-Of-Experts Framework for Few Labeled Node Classification	36
Sequential safe static and dynamic screening rule for accelerating support tensor machine	36
LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning	35
Online continual decoding of streaming EEG signal with a balanced and informative memory buffer	35
A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency	35
Generation, division and training: A promising method for source-free unsupervised domain adaptation	35
DCDLN: A densely connected convolutional dynamic learning network for malaria disease diagnosis	34
A novel semi-supervised meta learning method for subject-transfer brain–computer interface	34
Graph Neural Network contextual embedding for Deep Learning on tabular data	34
A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem	34
Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings	34
PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning	34
Informative pairs mining based adaptive metric learning for adversarial domain adaptation	33
Simignore: Exploring and enhancing multimodal large model complex reasoning via similarity computation	33
M2	33
Joint learning of feature and topology for multi-view graph convolutional network	33
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index	33
TF-BERT: Tensor-based fusion BERT for multimodal sentiment analysis	32
Combining various training and adaptation algorithms for ensemble few-shot classification	32
Revisiting graph neural networks from hybrid regularized graph signal reconstruction	32
Combining external-latent attention for medical image segmentation	32
ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation	32
Attribute-guided feature fusion network with knowledge-inspired attention mechanism for multi-source remote sensing classification	32
Deep one-class probability learning for end-to-end image classification	32
Efficient learning rate adaptation based on hierarchical optimization approach	32
SCADA securing system using deep learning to prevent cyber infiltration	32
Temporal multi-modal knowledge graph generation for link prediction	32
Stability and passivity analysis of delayed neural networks via an improved matrix-valued polynomial inequality	31
Probabilistic-sampling-based asynchronous control for semi-Markov jumping neural networks with reaction–diffusion terms	31
Knowledge-distillation based personalized federated learning with distribution constraints	31
FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning	31
Meta attention for Off-Policy Actor-Critic	31
Internal sensory models allow for balance control using muscle spindle acceleration feedback	31
A new pipeline with ultimate search efficiency for neural architecture search	31
SimTA++: Simple attention neural network for clinical asynchronous time series	31
Enhancing multiview synergy: Robust learning by exploiting the wave loss function with consensus and complementarity principles	31
Learning in PINNs: Phase transition, diffusion equilibrium, and generalization	31
Bio-inspired two-stage network for efficient RGB-D salient object detection	31
Credit assignment with predictive contribution measurement in multi-agent reinforcement learning	31
Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design	31
ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints	31
Neuroadaptive fixed-time fault-tolerant containment control of high-order MIMO Nonlinear multi-agent systems in affine strict-feedback form	31
Hypergraph node representation learning with one-stage message passing	31
Unsupervised domain adaptive building semantic segmentation network by edge-enhanced contrastive learning	31
Self-balancing Incremental Broad Learning System with privacy protection	31
Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models	31
G-NeuroDAVIS: A generative model for data visualization through a generalized embedding	31
Contrastive learning of graphs under label noise	30
TFRS: A task-level feature rectification and separation method for few-shot video action recognition	30
Event-triggered impulsive cluster synchronization of coupled reaction–diffusion neural networks and its application to image encryption	30
Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering	30
SCMEA: A stacked co-enhanced model for entity alignment based on multi-aspect information fusion and bidirectional contrastive learning	30
A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control	30
Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks	30
EMAT: Efficient feature fusion network for visual tracking via optimized multi-head attention	30
Dynamic graph transformation with multi-task learning for enhanced spatio-temporal traffic prediction	30
Adaptive Diversity Induced Reweighting for long-tailed classification	30
A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks	30
UMS2-ODNet: Un	30
Event-centric multi-modal fusion method for dense video captioning	30
CNN-Transformer and Channel-Spatial Attention based network for hyperspectral image classification with few samples	30
Are Vision-xLSTM-embedded U-Nets better at segmenting medical images?	29