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 2021-09-01 to 2025-09-01.)
ArticleCitations
Editorial Board309
Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild296
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals288
Towards global neural network abstractions with locally-exact reconstruction201
Graph convolutional network with tree-guided anisotropic message passing185
Predictive accuracy of CNN for cortical oscillatory activity in an acute rat model of parkinsonism168
Reinforced mixture learning148
Editorial Board136
NN/ENNS/JNNS - Membership Applic. Form117
Adams-based hierarchical features fusion network for image dehazing114
Editorial Board113
Dynamic planning in hierarchical active inference109
Distributed multi-timescale algorithm for nonconvex optimization problem: A control perspective108
Graph anomaly detection based on hybrid node representation learning107
Nonlinear feature selection for support vector quantile regression106
Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks106
Central loss guides coordinated Transformer for reliable anatomical landmark detection104
Learning to reweight examples in multi-label classification104
MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule101
Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation101
INN/ENNS/JNNS - Membership Applic. Form99
Explainable hybrid word representations for sentiment analysis of financial news97
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics95
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor95
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach93
CURRENT EVENTS92
Learning shared template representation with augmented feature for multi-object pose estimation87
Deep graph representation learning for influence maximization with accelerated inference85
DPGCL: Dual pass filtering based graph contrastive learning83
Learning dynamic graph representations through timespan view contrasts83
Salience Interest Option: Temporal abstraction with salience interest functions83
Universality of reservoir systems with recurrent neural networks82
ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal82
Sign potential-driven multiplicative optimization for robust deep reinforcement learning82
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
Enhancing space–time video super-resolution via spatial–temporal feature interaction78
Deep prior embedding method for Electrical Impedance Tomography77
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation77
Deep semi-supervised learning via dynamic anchor graph embedding in latent space76
Boosting adversarial robustness via self-paced adversarial training76
SNR: Symbolic network-based rectifiable learning framework for symbolic regression76
KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings74
Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction73
H71
On the Kolmogorov neural networks70
3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision69
Spatial–temporal recurrent reinforcement learning for autonomous ships69
Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition68
Event-triggered H68
Early stopping by correlating online indicators in neural networks66
RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation66
Attention-based random forest and contamination model66
Flexibly regularized mixture models and application to image segmentation65
RASP: Regularization-based Amplitude Saliency Pruning65
Finite-time and fixed-time self-triggered synchronization of stochastic memristive neural networks and applications in secure communication65
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG64
A CNN model embedded with local feature knowledge and its application to time-varying signal classification63
DMPP: Differentiable multi-pruner and predictor for neural network pruning63
Neural operators for robust output regulation of hyperbolic PDEs63
Partial label learning: Taxonomy, analysis and outlook63
Backdoor attacks on unsupervised graph representation learning62
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment62
Oblique and rotation double random forest61
Fixed/Preassigned-time synchronization of quaternion-valued neural networks via pure power-law control61
UTRAD: Anomaly detection and localization with U-Transformer61
Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber–physical systems under deception attacks61
Heterophilous distribution propagation for Graph Neural Networks59
CURRENT EVENTS59
Combining STDP and binary networks for reinforcement learning from images and sparse rewards58
INN/ENNS/JNNS - Membership Applic. Form58
Corrigendum to “Self-Referencing agents for unsupervised reinforcement learning” [Neural Networks Volume 188, August 2025, 107448]57
Model-free reinforcement learning control with zero-min barrier functions for constrained systems57
An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control57
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
Mask-Shift-Inference: A novel paradigm for domain generalization56
Convolutional fusion network for monaural speech enhancement55
Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification55
Set stabilization of logical control networks: A minimum node control approach55
Understanding and mitigating noise in trained deep neural networks55
CT-Net: Asymmetric compound branch Transformer for medical image segmentation54
Possibilistic classification by support vector networks54
psoResNet: An improved PSO-based residual network search algorithm54
Medical image segmentation network based on multi-scale frequency domain filter53
Unsupervised multi-sense language models for natural language processing tasks53
Quantization-aware training for low precision photonic neural networks53
Illumination-aware divide-and-conquer network for improperly-exposed image enhancement53
Long-range zero-shot generative deep network quantization53
A neuralized feature engineering method for entity relation extraction53
A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion52
Neural network surgery: Combining training with topology optimization52
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition52
A survey on few-shot class-incremental learning52
Editorial Board50
Capped L2,<50
Current Events50
Editorial Board50
INN/ENNS/JNNS - Membership Applic. Form49
HirMTL: Hierarchical Multi-Task Learning for dense scene understanding49
Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding49
Current Events49
Impact of axonal delay on structure development in a multi-layered network48
Intra- and inter-channel deep convolutional neural network with dynamic label smoothing for multichannel biosignal analysis48
Towards understanding theoretical advantages of complex-reaction networks48
Mittag-Leffler stability of fractional-order quaternion-valued memristive neural networks with generalized piecewise constant argument47
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks47
Continual learning with Bayesian compression for shared and private latent representations47
Distributional generative adversarial imitation learning with reproducing kernel generalization47
Self-adaptive label discovery and multi-view fusion for complementary label learning46
Information theory-guided heuristic progressive multi-view coding46
Quality-diversity based semi-autonomous teleoperation using reinforcement learning45
Energy controls wave propagation in a neural network with spatial stimuli45
Return of the normal distribution: Flexible deep continual learning with variational auto-encoders45
Modeling learnable electrical synapse for high precision spatio-temporal recognition45
Fixed-time synchronization of delayed memristive neural networks with impulsive effects via novel fixed-time stability theorem45
Cosine convolutional neural network and its application for seizure detection44
A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection44
G2BFNN: Genera44
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers44
UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network44
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization43
Simultaneous neural network approximation for smooth functions43
2DHeadPose: A simple and effective annotation method for the head pose in RGB images and its dataset43
Effects of impulse on prescribed-time synchronization of switching complex networks42
An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment42
Exploring quantum neural networks for binary classification on MNIST dataset: A swap test approach42
Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets42
BC-PMJRS: A Brain Computing-inspired Predefined Multimodal Joint Representation Spaces for enhanced cross-modal learning42
Multi-scale graph harmonies: Unleashing U-Net’s potential for medical image segmentation through contrastive learning42
PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins42
On the characterization of cognitive tasks using activity-specific short-lived synchronization between electroencephalography channels41
Backpropagation Neural Tree41
Self-guided disentangled representation learning for single image dehazing41
Pinning multisynchronization of delayed fractional-order memristor-based neural networks with nonlinear coupling and almost-periodic perturbations41
Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment41
A framework for controllable Pareto front learning with completed scalarization functions and its applications40
Sampled-based adaptive event-triggered resilient control for multiagent systems with hybrid cyber-attacks40
A general framework for robust stability analysis of neural networks with discrete time delays40
Towards a unified framework for graph-based multi-view clustering40
Joint weight optimization for partial domain adaptation via kernel statistical distance estimation40
Modeling limit order trading with a continuous action policy for deep reinforcement learning40
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots40
On the capacity of deep generative networks for approximating distributions40
Enriching query semantics for code search with reinforcement learning40
ComCo: Complementary supervised contrastive learning for complementary label learning40
High-order diversity feature learning for pedestrian attribute recognition39
Tailoring Knowledge for Empowered Cooperative Actions in Multi-Agent Reinforcement Learning39
ProMask: Probability mask representation for skeleton detection39
Brain-inspired chaotic backpropagation for MLP39
Inter-participant transfer learning with attention based domain adversarial training for P300 detection39
Revisiting graph neural networks from hybrid regularized graph signal reconstruction39
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks39
Recurrent neural network pruning using dynamical systems and iterative fine-tuning38
Complete synchronization of discrete-time fractional-order BAM neural networks with leakage and discrete delays38
Temporal multi-modal knowledge graph generation for link prediction38
Meta attention for Off-Policy Actor-Critic38
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index38
Neuroadaptive fixed-time fault-tolerant containment control of high-order MIMO Nonlinear multi-agent systems in affine strict-feedback form38
Stability and passivity analysis of delayed neural networks via an improved matrix-valued polynomial inequality38
A novel semi-supervised meta learning method for subject-transfer brain–computer interface37
INN/ENNS/JNNS - Membership Applic. Form37
Corrigendum to “Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data” [Neural Networks 163 (2023) 272–285]37
Iterative neural networks for improving memory capacity37
Restarted multiple kernel algorithms with self-guiding for large-scale multi-view clustering37
Credit assignment with predictive contribution measurement in multi-agent reinforcement learning37
Probabilistic-sampling-based asynchronous control for semi-Markov jumping neural networks with reaction–diffusion terms37
Generation, division and training: A promising method for source-free unsupervised domain adaptation37
INN/ENNS/JNNS - Membership Applic. Form37
Enhancing multiview synergy: Robust learning by exploiting the wave loss function with consensus and complementarity principles37
Efficient learning rate adaptation based on hierarchical optimization approach37
Editorial Board37
Sparse factorization of square matrices with application to neural attention modeling37
Communication-efficient distributed learning with Local Immediate Error Compensation36
A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem36
Neural Networks Referees in 202436
INN/ENNS/JNNS - Membership Applic. Form36
Deep one-class probability learning for end-to-end image classification36
FastTalker: A neural text-to-speech architecture with shallow and group autoregression36
Sequential safe static and dynamic screening rule for accelerating support tensor machine36
PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning36
Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning35
Internal sensory models allow for balance control using muscle spindle acceleration feedback35
Event-centric multi-modal fusion method for dense video captioning35
Structured Ensembles: An approach to reduce the memory footprint of ensemble methods35
An event-triggered collaborative neurodynamic approach to distributed global optimization35
A Hierarchical Mixture-Of-Experts Framework for Few Labeled Node Classification35
Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks35
A new pipeline with ultimate search efficiency for neural architecture search35
M234
Bifurcations of a delayed fractional-order BAM neural network via new parameter perturbations34
Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering34
UMS2-ODNet: Un34
DCDLN: A densely connected convolutional dynamic learning network for malaria disease diagnosis34
Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors34
Distributed adaptive robust containment control for reaction–diffusion neural networks with external disturbances under directed graphs33
Graph Neural Network contextual embedding for Deep Learning on tabular data33
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 strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control33
ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints33
TFRS: A task-level feature rectification and separation method for few-shot video action recognition33
Combining various training and adaptation algorithms for ensemble few-shot classification33
Joint learning of feature and topology for multi-view graph convolutional network33
Informative pairs mining based adaptive metric learning for adversarial domain adaptation32
Genetic hyperparameter optimization with Modified Scalable-Neighbourhood Component Analysis for breast cancer prognostication32
Causal Disentanglement Domain Generalization for time-series signal fault diagnosis32
SCADA securing system using deep learning to prevent cyber infiltration32
Contrastive learning of graphs under label noise32
Functional loops: Monitoring functional organization of deep neural networks using algebraic topology32
Continual learning with attentive recurrent neural networks for temporal data classification32
Self-balancing Incremental Broad Learning System with privacy protection32
FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning32
CNN-Transformer and Channel-Spatial Attention based network for hyperspectral image classification with few samples32
A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency32
TF-BERT: Tensor-based fusion BERT for multimodal sentiment analysis32
Online continual decoding of streaming EEG signal with a balanced and informative memory buffer32
Unsupervised domain adaptive building semantic segmentation network by edge-enhanced contrastive learning32
EMAT: Efficient feature fusion network for visual tracking via optimized multi-head attention32
Combining external-latent attention for medical image segmentation32
Attribute-guided feature fusion network with knowledge-inspired attention mechanism for multi-source remote sensing classification31
Deep brain stimulation and lag synchronization in a memristive two-neuron network31
Event-triggered impulsive cluster synchronization of coupled reaction–diffusion neural networks and its application to image encryption31
Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models31
Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings31
LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning31
A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks31
ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation31
Adaptive Diversity Induced Reweighting for long-tailed classification31
Simignore: Exploring and enhancing multimodal large model complex reasoning via similarity computation31
Bio-inspired two-stage network for efficient RGB-D salient object detection31
SCMEA: A stacked co-enhanced model for entity alignment based on multi-aspect information fusion and bidirectional contrastive learning31
Editorial Board30
Dual-stage feedback network for lightweight color image compression artifact reduction30
Deep learning in random neural fields: Numerical experiments via neural tangent kernel30
H30
Revisiting the fragility of influence functions30
INN/ENNS/JNNS - Membership Applic. Form30
A multiscale distributed neural computing model database (NCMD) for neuromorphic architecture30
Endpoint-aware audio-visual speech enhancement utilizing dynamic weight modulation based on SNR estimation30
Neurodynamics-driven portfolio optimization with targeted performance criteria30
INN/ENNS/JNNS - Membership Applic. Form30
Editorial Board30
Uncertainty-aware hierarchical segment-channel attention mechanism for reliable and interpretable multichannel signal classification30
A novel density-based neural mass model for simulating neuronal network dynamics with conductance-based synapses and membrane current adaptation30
Dynamic graph consistency and self-contrast learning for semi-supervised medical image segmentation30
SVD-AE: An asymmetric autoencoder with SVD regularization for multivariate time series anomaly detection29
LCFFNet: A Lightweight Cross-scale Feature Fusion Network for human pose estimation29
Data alignment based adversarial defense benchmark for EEG-based BCIs29
Adaptive pinning cluster synchronization of a stochastic reaction–diffusion complex network29
Enabling deformation slack in tracking with temporally even correlation filters29
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