Neural Networks

Papers
(The H4-Index of Neural Networks is 66. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Editorial Board465
Enhancing space–time video super-resolution via spatial–temporal feature interaction269
Learning shared template representation with augmented feature for multi-object pose estimation262
ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal197
Graph convolutional network with tree-guided anisotropic message passing188
DPGCL: Dual pass filtering based graph contrastive learning171
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach162
Nonlinear feature selection for support vector quantile regression145
Towards global neural network abstractions with locally-exact reconstruction145
Sign potential-driven multiplicative optimization for robust deep reinforcement learning144
Backdoor samples detection based on perturbation discrepancy consistency in pre-trained language models140
Editorial Board131
Editorial Board131
Reinforced mixture learning123
Aspect sentiment learning for Aspect-Level Sentiment Classification115
EAAR: Efficient and Accurate Action Recognition model with enhanced spatio-temporal perception115
INN/ENNS/JNNS - Membership Applic. Form112
Kernelized linear principal component discriminant analysis111
ReTri: Progressive domain bridging via representation disentanglement and triple-level consistency-driven feature alignment for unsupervised domain adaptive medical image segmentation109
NAR Broad Learning System for dynamical systems prediction108
Temporal knowledge graphs forecasting based on explainable temporal relation tree-graph107
MMFormer: Multi-Modality semi-Supervised vision transformer in remote sensing imagery classification107
Reinforcement learning with formation energy feedback for material diffusion models105
Variational autoencoder for distributional learning via quantile function estimation105
CURRENT EVENTS104
Corrigendum to “Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems” [Neural Networks 187 (2025) 107412]102
Adams-based hierarchical features fusion network for image dehazing98
GeoScatt-GNN: A geometric scattering transform-based graph neural network model for Ames mutagenicity prediction96
VLExpan: A visual-enhanced LLM framework with inductive and deductive policies for entity set expansion94
RASP: Regularization-based Amplitude Saliency Pruning93
Metamon-GS: Enhancing representability with variance-guided densification and light encoding92
Regression-based multisource conditional domain adaptation for policy outcome prediction91
MsDUNE: A multi-scale masked temporal fusion framework for speaker-independent lipreading via Dirichlet uncertainty estimation91
Deep graph representation learning for influence maximization with accelerated inference90
Graph-level contrastive learning with self-aware and cross-sample topology augmentation for brain disorder diagnosis using rs-fMRI89
Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation87
LMcast: A pretrained language model guided long-term memory transformer for precipitation nowcasting86
A lightweight model for perceptual image compression via implicit priors85
MDSFD-Net: Alzheimer’s disease diagnosis with missing modality via disentanglement learning and feature distillation85
TRKM: Twin restricted kernel machines for classification and regression81
3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision80
Event-triggered H79
Discriminative representation learning via attention-enhanced contrastive learning for short text clustering79
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics79
Salience Interest Option: Temporal abstraction with salience interest functions79
Radiology report generation via visual-semantic ambivalence-aware network and focal self-critical sequence training78
Universality of reservoir systems with recurrent neural networks77
CognitMoE: A cognition-aware collaborative multi-expert network for bipolar disorder diagnosis77
KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings76
Dual aggregation based joint-modal similarity hashing for cross-modal retrieval76
Boosting adversarial robustness via self-paced adversarial training75
On the Kolmogorov neural networks75
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment75
A DINO-based progressive semantic enhanced infrared and visible image fusion network75
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals74
Regional crowd flow estimation from aerial view72
Dual-balancing for multi-task learning72
Small sphere and large margin support tensor machines for imbalanced tensor data classification72
Finite-time and fixed-time self-triggered synchronization of stochastic memristive neural networks and applications in secure communication71
Spatial–temporal recurrent reinforcement learning for autonomous ships71
Explainable hybrid word representations for sentiment analysis of financial news71
Fixed-time synchronization of proportional delay memristive complex-valued competitive neural networks71
Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition71
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation68
Backdoor attacks on unsupervised graph representation learning68
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor67
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