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 2022-05-01 to 2026-05-01.)
ArticleCitations
Special issue on AI-based web information processing567
Neural acceleration of incomplete factorization preconditioning503
Performance evaluation of cluster-based federated machine learning438
Estimation of leaf Mg values of apple trees in early period with machine learning methods380
Object modeling through weightless tracking353
Frontal face reconstruction based on detail identification, variable scale self-attention and flexible skip connection345
Dual-channel graph contrastive learning for multi-label classification with label-specific features and label correlations341
Ohabm-net: an enhanced attention-driven hybrid network for improved breast mass detection303
Improving Chinese word segmentation with character–lexicon class attention283
Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN252
Who should I trust? Cautiously learning with unreliable experts231
Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction209
Event prediction within directional change framework using a CNN-LSTM model198
MindfulLIME: a stable solution for explanations of machine learning models with enhanced localization precision—a medical image case study184
Physics-guided time-series transformer for accurate and robust battery SOC estimation171
EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease164
Defense against adversarial attacks via textual embeddings based on semantic associative field161
A hybrid approach to real-time multi-target tracking153
Machine learning based multipurpose medical image watermarking151
Stable online adaptive formation control for leader-follower mobile robots based on reinforcement learning150
Improving automated latent fingerprint detection and segmentation using deep convolutional neural network145
An intelligent approach for autism spectrum disorder diagnosis and rehabilitation features identification142
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer140
An efficient and scalable semi-supervised framework for semantic segmentation139
An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications139
Hierarchical capsule network for hyperspectral image classification139
Real-time guidance for powered landing of reusable rockets via deep learning137
An integrated biomedical images security approach to secure healthcare system133
An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling130
JSMix: a holistic algorithm for learning with label noise124
LPL-VIO: monocular visual-inertial odometry with deep learning-based point and line features123
An effective variational auto-encoder-based model for traffic flow imputation122
Lyapunov-guided representation of recurrent neural network performance115
Correction: Stochastic optimal reactive power dispatch at varying time of load demand and renewable energy resources using an efficient modified jellyfish optimizer115
Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation114
Synchronization analysis and parameters identification of uncertain delayed fractional-order BAM neural networks113
Development of sliding mode control based on diagonal recurrent neural network for coupled tank system113
Pedestrian gender classification on imbalanced and small sample datasets using deep and traditional features112
Energy enhancement of routing protocol with hidden Markov model in wireless sensor networks112
Transparent deep machine learning framework for predicting traffic crash severity108
Automated steel surface defect detection and classification using a new deep learning-based approach107
Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction107
A novel technique for evaluating and selecting wealthtech apps based on interval type−2 intuitionistic fuzzy technique for order preference by similarity to ideal solution103
Constructing a multimodal feature set for pain intensity classification101
Hybrid ConvTransLSTM for spatio-temporal classification: identifying early Parkinson’s disease from gait patterns98
A novel meta-learning initialization method for physics-informed neural networks97
Deep learning and vision transformers-based framework for breast cancer and subtype identification95
Chimera states and information transfer in interacting populations of map-based neurons95
Detection and classification of photovoltaic module defects based on artificial intelligence94
Deep learning-based approaches for robust classification of cervical cancer93
Diagnosis of breast cancer molecular subtypes using machine learning models on unimodal and multimodal datasets91
Predict customer churn using combination deep learning networks model90
Accelerated black hole optimization algorithm with enhanced FOPID controller for omni-wheel drive mobile robot system90
Soft sensor for the prediction of oxygen content in boiler flue gas using neural networks and extreme gradient boosting90
Integration of global and local information for text classification88
Robust bipedal walking control through a privileged learning-based, hierarchical imitation learning method88
EEG-motion: a novel algorithm that detect restless legs syndrome using EEG signals on polysomnography88
LWIR2Vis-Net: feature injection-augmented encoder-decoder for efficient thermal-to-visible image translation87
Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans86
An interactive deep model combined with Retinex for low-light visible and infrared image fusion86
Distilled pooling transformer encoder for efficient realistic image dehazing84
A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem82
A novel algorithm based on DNA coding for substitution box generation problem81
Analysis of regional climate variables by using neural Granger causality81
Intercity round-trip multi-region demand prediction based on multi-task fusion recurrent graph attention network79
A framework for classifying breast cancer based on deep features integration and selection77
Improved Tasmanian devil optimization algorithm for parameter identification of electric transformers73
Deep learning-driven automatic detection of mucilage event in the Sea of Marmara, Turkey73
From fair solutions to compromise solutions in multi-objective deep reinforcement learning73
A new hybrid recurrent artificial neural network for time series forecasting73
Integrating plant growth monitoring in a precision intrarow hoeing tool through canopy cover segmentation72
Reducing environment exposure to COVID-19 by IoT sensing and computing with deep learning72
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