OOIR: Observatory of International Research

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 2022-06-01 to 2026-06-01.)

Article	Citations
Neural acceleration of incomplete factorization preconditioning	575
Performance evaluation of cluster-based federated machine learning	506
Estimation of leaf Mg values of apple trees in early period with machine learning methods	461
Object modeling through weightless tracking	385
Dual-channel graph contrastive learning for multi-label classification with label-specific features and label correlations	359
Ohabm-net: an enhanced attention-driven hybrid network for improved breast mass detection	310
Improving Chinese word segmentation with character–lexicon class attention	293
An integrated biomedical images security approach to secure healthcare system	256
An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling	245
LPL-VIO: monocular visual-inertial odometry with deep learning-based point and line features	199
An effective variational auto-encoder-based model for traffic flow imputation	187
Semi-global fixed/predefined-time RNN models with comprehensive comparisons for time-variant neural computing	181
Bi-graph attention network for energy price forecasting via multiple time scale learning	175
CEDT2M: text-driven human motion generation via cross-modal mixture of encoder-decoder	172
Development of sliding mode control based on diagonal recurrent neural network for coupled tank system	161
Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN	154
Who should I trust? Cautiously learning with unreliable experts	153
Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction	148
Re-HGNM: a repeat aware hypergraph neural machine for session-based recommendation	147
BO–SHAP–BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities	146
Ground-truth generation through crowdsourcing with probabilistic indexes	144
Deep noise mitigation and semantic reconstruction hashing for unsupervised cross-modal retrieval	143
Intercity round-trip multi-region demand prediction based on multi-task fusion recurrent graph attention network	142
Hierarchical capsule network for hyperspectral image classification	140
An efficient and scalable semi-supervised framework for semantic segmentation	135

An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications	134
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer	131
Q-learning-based sequential recovery of interdependent power-communication network after cascading failures	129
A prediction model for plastic hinge length of rectangular RC columns using gene expression programming	124
Prediction of temperature separation of a nitrogen-driven vortex tube with linear, kNN, SVM, and RF regression models	123
A novel augmentation strategy for credit scoring modeling	122
A detector for page-level handwritten music object recognition based on deep learning	120
Group learning algorithm: a new metaheuristic algorithm	118
Exploring vision transformer: classifying electron-microscopy pollen images with transformer	116
Improve cluster quality with better centroid selection	116
Deep learning model for early prediction of material fracture in tensile testing	115
An in-depth examination of artificial intelligence-based methods for optimal power flow solutions	112
A framework for classifying breast cancer based on deep features integration and selection	111
Lyapunov-guided representation of recurrent neural network performance	110
Energy enhancement of routing protocol with hidden Markov model in wireless sensor networks	106
Correction: Stochastic optimal reactive power dispatch at varying time of load demand and renewable energy resources using an efficient modified jellyfish optimizer	106
Synchronization analysis and parameters identification of uncertain delayed fractional-order BAM neural networks	104
Quantized neural adaptive finite-time preassigned performance control for interconnected nonlinear systems	103
Development of a design tool for the horizontal stabilizer of a helicopter using artificial neural networks	98
Neural network optimal control for discrete-time nonlinear systems with known internal dynamics	98
DeepDepth: Prediction of O(6)-methylguanine-DNA methyltransferase genotype in glioblastoma patients using multimodal representation learning based on deep feature fusion	94
Intelligent chatter detection in turning operations with imbalanced data using conditional generative adversarial networks	94
Convolutional variational autoencoder for Northeast US coastal wind and flood hazard data augmentation	93
Retraction Note: Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm	92
RETRACTED ARTICLE: Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction	92
A new hybrid recurrent artificial neural network for time series forecasting	91
A novel k-step fault estimation and fault-tolerant control scheme in wireless power transfer systems	91
Deep learning-driven automatic detection of mucilage event in the Sea of Marmara, Turkey	90
From fair solutions to compromise solutions in multi-objective deep reinforcement learning	90
Integrating plant growth monitoring in a precision intrarow hoeing tool through canopy cover segmentation	87
Reducing environment exposure to COVID-19 by IoT sensing and computing with deep learning	87
Logistic regression prediction models and key influencing factors analysis of diabetes based on algorithm design	86
Cost-effective economic dispatch in large-scale power systems using enhanced manta ray foraging optimization	85
Improving automated latent fingerprint detection and segmentation using deep convolutional neural network	83
EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease	83
Detecting and classifying breast masses via YOLO-based deep learning	80
Dysarthric speech recognition: an investigation on using depthwise separable convolutions and residual connections	79
Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference	78
Event prediction within directional change framework using a CNN-LSTM model	75
Improved Tasmanian devil optimization algorithm for parameter identification of electric transformers	74
A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem	74
Occluded human pose estimation based on limb joint augmentation	74
A feature selection method based on Shapley values robust for concept shift in regression	74
JSMix: a holistic algorithm for learning with label noise	74
Deep learning-based approaches for robust classification of cervical cancer	73
Analysis of regional climate variables by using neural Granger causality	72
Reviving autoencoder pretraining	72