Neural Computing & Applications

Papers
(The H4-Index of Neural Computing & Applications is 72. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Performance evaluation of cluster-based federated machine learning600
Estimation of leaf Mg values of apple trees in early period with machine learning methods503
Object modeling through weightless tracking393
Dual-channel graph contrastive learning for multi-label classification with label-specific features and label correlations390
An integrated biomedical images security approach to secure healthcare system326
An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling313
Semi-global fixed/predefined-time RNN models with comprehensive comparisons for time-variant neural computing297
Bi-graph attention network for energy price forecasting via multiple time scale learning262
CEDT2M: text-driven human motion generation via cross-modal mixture of encoder-decoder236
Development of sliding mode control based on diagonal recurrent neural network for coupled tank system201
Who should I trust? Cautiously learning with unreliable experts199
Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction197
Re-HGNM: a repeat aware hypergraph neural machine for session-based recommendation187
BO–SHAP–BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities180
Ground-truth generation through crowdsourcing with probabilistic indexes172
Deep noise mitigation and semantic reconstruction hashing for unsupervised cross-modal retrieval168
Intercity round-trip multi-region demand prediction based on multi-task fusion recurrent graph attention network167
Hierarchical capsule network for hyperspectral image classification161
An efficient and scalable semi-supervised framework for semantic segmentation160
An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications157
Q-learning-based sequential recovery of interdependent power-communication network after cascading failures154
A detector for page-level handwritten music object recognition based on deep learning150
Group learning algorithm: a new metaheuristic algorithm149
Improve cluster quality with better centroid selection146
Exploring vision transformer: classifying electron-microscopy pollen images with transformer141
Deep learning model for early prediction of material fracture in tensile testing137
An in-depth examination of artificial intelligence-based methods for optimal power flow solutions132
Lyapunov-guided representation of recurrent neural network performance131
Correction: Stochastic optimal reactive power dispatch at varying time of load demand and renewable energy resources using an efficient modified jellyfish optimizer128
Energy enhancement of routing protocol with hidden Markov model in wireless sensor networks127
Quantized neural adaptive finite-time preassigned performance control for interconnected nonlinear systems124
Neural network optimal control for discrete-time nonlinear systems with known internal dynamics123
Development of a design tool for the horizontal stabilizer of a helicopter using artificial neural networks119
Intelligent chatter detection in turning operations with imbalanced data using conditional generative adversarial networks119
DeepDepth: Prediction of O(6)-methylguanine-DNA methyltransferase genotype in glioblastoma patients using multimodal representation learning based on deep feature fusion117
Hybrid ConvTransLSTM for spatio-temporal classification: identifying early Parkinson’s disease from gait patterns113
Convolutional variational autoencoder for Northeast US coastal wind and flood hazard data augmentation113
Constructing a multimodal feature set for pain intensity classification112
Pedestrian gender classification on imbalanced and small sample datasets using deep and traditional features111
EEG-motion: a novel algorithm that detect restless legs syndrome using EEG signals on polysomnography111
Chimera states and information transfer in interacting populations of map-based neurons111
Robust bipedal walking control through a privileged learning-based, hierarchical imitation learning method110
LWIR2Vis-Net: feature injection-augmented encoder-decoder for efficient thermal-to-visible image translation101
Defense against adversarial attacks via textual embeddings based on semantic associative field98
Diagnosis of breast cancer molecular subtypes using machine learning models on unimodal and multimodal datasets96
Integration of global and local information for text classification95
MindfulLIME: a stable solution for explanations of machine learning models with enhanced localization precision—a medical image case study94
Retraction Note: Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm94
A new hybrid recurrent artificial neural network for time series forecasting93
RETRACTED ARTICLE: Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction93
From fair solutions to compromise solutions in multi-objective deep reinforcement learning91
Cost-effective economic dispatch in large-scale power systems using enhanced manta ray foraging optimization91
Deep learning-driven automatic detection of mucilage event in the Sea of Marmara, Turkey91
Integrating plant growth monitoring in a precision intrarow hoeing tool through canopy cover segmentation91
Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference89
A feature selection method based on Shapley values robust for concept shift in regression87
A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem84
Reviving autoencoder pretraining82
JSMix: a holistic algorithm for learning with label noise82
Machine learning based multipurpose medical image watermarking82
Real-time guidance for powered landing of reusable rockets via deep learning78
A novel algorithm based on DNA coding for substitution box generation problem78
An effective variational auto-encoder-based model for traffic flow imputation78
EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease78
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer77
A novel technique for evaluating and selecting wealthtech apps based on interval type−2 intuitionistic fuzzy technique for order preference by similarity to ideal solution77
Physics-guided time-series transformer for accurate and robust battery SOC estimation75
Stable online adaptive formation control for leader-follower mobile robots based on reinforcement learning75
Improving Chinese word segmentation with character–lexicon class attention74
Data-driven heat pump management: combining machine learning with anomaly detection for residential hot water systems74
Ohabm-net: an enhanced attention-driven hybrid network for improved breast mass detection72
Synchronization analysis and parameters identification of uncertain delayed fractional-order BAM neural networks72
Adaptive control for multi-agent systems in dynamic and uncertain environments72
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