Neural Networks

Papers
(The H4-Index of Neural Networks is 62. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Editorial Board350
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals329
Corrigendum to “Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems” [Neural Networks 187 (2025) 107412]309
KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings223
Deep prior embedding method for Electrical Impedance Tomography207
MsDUNE: A multi-scale masked temporal fusion framework for speaker-independent lipreading via Dirichlet uncertainty estimation174
Aspect sentiment learning for Aspect-Level Sentiment Classification170
EAAR: Efficient and Accurate Action Recognition model with enhanced spatio-temporal perception153
Automated tactics planning for cyber attack and defense based on large language model agents128
Nonlinear feature selection for support vector quantile regression125
GeoScatt-GNN: A Geometric Scattering Transform-Based Graph Neural Network Model for Ames Mutagenicity Prediction122
Distributed multi-timescale algorithm for nonconvex optimization problem: A control perspective122
DPGCL: Dual pass filtering based graph contrastive learning122
ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal121
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment114
Spatial–temporal recurrent reinforcement learning for autonomous ships112
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor109
Boosting adversarial robustness via self-paced adversarial training108
Universality of reservoir systems with recurrent neural networks108
Early stopping by correlating online indicators in neural networks104
Salience Interest Option: Temporal abstraction with salience interest functions103
Learning dynamic graph representations through timespan view contrasts99
Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks98
Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber–physical systems under deception attacks96
SNR: Symbolic network-based rectifiable learning framework for symbolic regression93
Attention-based random forest and contamination model92
MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule90
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics90
Backdoor attacks on unsupervised graph representation learning87
Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction86
Enhancing space–time video super-resolution via spatial–temporal feature interaction86
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach84
INN/ENNS/JNNS - Membership Applic. Form83
Learning shared template representation with augmented feature for multi-object pose estimation83
Deep graph representation learning for influence maximization with accelerated inference82
CURRENT EVENTS82
Central loss guides coordinated Transformer for reliable anatomical landmark detection81
Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation79
Sign potential-driven multiplicative optimization for robust deep reinforcement learning77
Fixed-time synchronization of proportional delay memristive complex-valued competitive neural networks76
Graph anomaly detection based on hybrid node representation learning75
RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation75
Fixed/Preassigned-time synchronization of quaternion-valued neural networks via pure power-law control74
Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild74
Flexibly regularized mixture models and application to image segmentation74
Dynamic planning in hierarchical active inference74
NN/ENNS/JNNS - Membership Applic. Form73
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation73
Towards global neural network abstractions with locally-exact reconstruction71
DMPP: Differentiable multi-pruner and predictor for neural network pruning71
Editorial Board70
Graph convolutional network with tree-guided anisotropic message passing69
Neural operators for robust output regulation of hyperbolic PDEs69
Editorial Board68
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG67
Event-triggered H66
RASP: Regularization-based Amplitude Saliency Pruning65
Reinforced mixture learning65
Explainable hybrid word representations for sentiment analysis of financial news65
Predictive accuracy of CNN for cortical oscillatory activity in an acute rat model of parkinsonism63
Partial label learning: Taxonomy, analysis and outlook63
Deep semi-supervised learning via dynamic anchor graph embedding in latent space63
On the Kolmogorov neural networks62
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