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 2021-09-01 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
Learning dynamic graph representations through timespan view contrasts83
Salience Interest Option: Temporal abstraction with salience interest functions83
DPGCL: Dual pass filtering based graph contrastive learning83
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
RASP: Regularization-based Amplitude Saliency Pruning65
Finite-time and fixed-time self-triggered synchronization of stochastic memristive neural networks and applications in secure communication65
Flexibly regularized mixture models and application to image segmentation65
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG64
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
A CNN model embedded with local feature knowledge and its application to time-varying signal classification63
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment62
Backdoor attacks on unsupervised graph representation learning62
0.059070825576782