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 2021-11-01 to 2025-11-01.)
ArticleCitations
Lyapunov-guided representation of recurrent neural network performance479
Retraction Note: Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm466
Special issue on AI-based web information processing334
An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications318
An efficient and scalable semi-supervised framework for semantic segmentation277
BO–SHAP–BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities262
Development of a design tool for the horizontal stabilizer of a helicopter using artificial neural networks246
Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation238
Open set task augmentation facilitates generalization of deep neural networks trained on small data sets234
Energy enhancement of routing protocol with hidden Markov model in wireless sensor networks224
Neural acceleration of incomplete factorization preconditioning224
Incremental deep learning for reflectivity data recognition in stomatology209
Correction: Stochastic optimal reactive power dispatch at varying time of load demand and renewable energy resources using an efficient modified jellyfish optimizer207
An intelligent approach for autism spectrum disorder diagnosis and rehabilitation features identification205
Performance evaluation of cluster-based federated machine learning196
Estimation of leaf Mg values of apple trees in early period with machine learning methods186
Object modeling through weightless tracking179
Dual-channel graph contrastive learning for multi-label classification with label-specific features and label correlations150
Frontal face reconstruction based on detail identification, variable scale self-attention and flexible skip connection150
Ohabm-net: an enhanced attention-driven hybrid network for improved breast mass detection150
Improving Chinese word segmentation with character–lexicon class attention144
Defense against adversarial attacks via textual embeddings based on semantic associative field133
Observer-based adaptive control and faults estimation for T-S fuzzy singular fractional order systems123
Pedestrian gender classification on imbalanced and small sample datasets using deep and traditional features120
An interactive deep model combined with Retinex for low-light visible and infrared image fusion120
Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction120
A feature selection method based on Shapley values robust for concept shift in regression117
Soft sensor for the prediction of oxygen content in boiler flue gas using neural networks and extreme gradient boosting116
Reinforcement learning-based control of improved hybrid current modulated dual active bridge AC/DC converter116
Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans114
Patient activity recognition using radar sensors and machine learning113
RETRACTED ARTICLE: Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction113
Chimera states and information transfer in interacting populations of map-based neurons112
Improving automated latent fingerprint detection and segmentation using deep convolutional neural network111
A new hybrid recurrent artificial neural network for time series forecasting110
Group learning algorithm: a new metaheuristic algorithm109
Semi-global fixed/predefined-time RNN models with comprehensive comparisons for time-variant neural computing109
Enhanced lung image segmentation using deep learning104
Prediction of temperature separation of a nitrogen-driven vortex tube with linear, kNN, SVM, and RF regression models101
A novel meta-learning initialization method for physics-informed neural networks100
Synchronization analysis and parameters identification of uncertain delayed fractional-order BAM neural networks99
Analysis of regional climate variables by using neural Granger causality99
Deep learning-driven automatic detection of mucilage event in the Sea of Marmara, Turkey99
Distilled pooling transformer encoder for efficient realistic image dehazing98
Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction97
LPL-VIO: monocular visual-inertial odometry with deep learning-based point and line features97
From fair solutions to compromise solutions in multi-objective deep reinforcement learning96
An integrated biomedical images security approach to secure healthcare system95
Accelerated black hole optimization algorithm with enhanced FOPID controller for omni-wheel drive mobile robot system94
Data-driven heat pump management: combining machine learning with anomaly detection for residential hot water systems94
Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference93
Logistic regression prediction models and key influencing factors analysis of diabetes based on algorithm design92
Development of sliding mode control based on diagonal recurrent neural network for coupled tank system92
Reducing environment exposure to COVID-19 by IoT sensing and computing with deep learning90
An effective variational auto-encoder-based model for traffic flow imputation89
Improved Tasmanian devil optimization algorithm for parameter identification of electric transformers89
Deep noise mitigation and semantic reconstruction hashing for unsupervised cross-modal retrieval89
A novel augmentation strategy for credit scoring modeling86
Dysarthric speech recognition: an investigation on using depthwise separable convolutions and residual connections84
An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling84
Diagnosis of breast cancer molecular subtypes using machine learning models on unimodal and multimodal datasets83
CEDT2M: text-driven human motion generation via cross-modal mixture of encoder-decoder79
Correction to: DEIDS: a novel intrusion detection system for industrial control systems78
An in-depth examination of artificial intelligence-based methods for optimal power flow solutions78
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer77
A novel algorithm based on DNA coding for substitution box generation problem77
Social image aesthetic classification and optimization algorithm in machine learning76
Predict customer churn using combination deep learning networks model75
Q-learning-based sequential recovery of interdependent power-communication network after cascading failures74
Occluded human pose estimation based on limb joint augmentation74
Quantized neural adaptive finite-time preassigned performance control for interconnected nonlinear systems74
Detection and classification of photovoltaic module defects based on artificial intelligence73
A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain72
Hierarchical capsule network for hyperspectral image classification72
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