OOIR: Observatory of International Research

Papers

(The H4-Index of Neural Computing & Applications is 69. 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 2021-09-01 to 2025-09-01.)

Article	Citations
Deconvolution filter design of transmission channel: application to 3D objects using features extraction from orthogonal descriptor	442
Special issue on AI-based web information processing	440
Reviving autoencoder pretraining	315
Retraction Note: Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm	270
An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling	254
A detector for page-level handwritten music object recognition based on deep learning	242
Lyapunov-guided representation of recurrent neural network performance	237
Re-HGNM: a repeat aware hypergraph neural machine for session-based recommendation	207
Reducing environment exposure to COVID-19 by IoT sensing and computing with deep learning	206
Adaptive kernel selection network with attention constraint for surgical instrument classification	204
An efficient and scalable semi-supervised framework for semantic segmentation	201
Ohabm-net: an enhanced attention-driven hybrid network for improved breast mass detection	193
Improving Chinese word segmentation with character–lexicon class attention	187
Development of a design tool for the horizontal stabilizer of a helicopter using artificial neural networks	184
Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation	179
Open set task augmentation facilitates generalization of deep neural networks trained on small data sets	178
Energy enhancement of routing protocol with hidden Markov model in wireless sensor networks	170
Neural acceleration of incomplete factorization preconditioning	139
Incremental deep learning for reflectivity data recognition in stomatology	138
Correction: Stochastic optimal reactive power dispatch at varying time of load demand and renewable energy resources using an efficient modified jellyfish optimizer	131
An intelligent approach for autism spectrum disorder diagnosis and rehabilitation features identification	130
Deep noise mitigation and semantic reconstruction hashing for unsupervised cross-modal retrieval	128
Performance evaluation of cluster-based federated machine learning	121
Estimation of leaf Mg values of apple trees in early period with machine learning methods	119
Object modeling through weightless tracking	112

Frontal face reconstruction based on detail identification, variable scale self-attention and flexible skip connection	110
Dual-channel graph contrastive learning for multi-label classification with label-specific features and label correlations	109
Deep learning approach to obtain collaborative filtering neighborhoods	109
Ground-truth generation through crowdsourcing with probabilistic indexes	106
BO–SHAP–BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities	105
Cost-effective economic dispatch in large-scale power systems using enhanced manta ray foraging optimization	104
A novel augmentation strategy for credit scoring modeling	104
Defense against adversarial attacks via textual embeddings based on semantic associative field	104
Real-time guidance for powered landing of reusable rockets via deep learning	103
A prediction model for plastic hinge length of rectangular RC columns using gene expression programming	103
ECNN: evaluating a cluster-neural network model for city innovation capability	102
Intercity round-trip multi-region demand prediction based on multi-task fusion recurrent graph attention network	100
Q-learning-based sequential recovery of interdependent power-communication network after cascading failures	100
Reinforcement learning-based control of improved hybrid current modulated dual active bridge AC/DC converter	94
Group learning algorithm: a new metaheuristic algorithm	94
A hybrid approach to real-time multi-target tracking	94
An intelligent traceability method of water pollution based on dynamic multi-mode optimization	93
Neural network optimal control for discrete-time nonlinear systems with known internal dynamics	92
DeepDepth: Prediction of O(6)-methylguanine-DNA methyltransferase genotype in glioblastoma patients using multimodal representation learning based on deep feature fusion	92
Who should I trust? Cautiously learning with unreliable experts	91
A novel algorithm based on DNA coding for substitution box generation problem	91
A novel k-step fault estimation and fault-tolerant control scheme in wireless power transfer systems	90
A framework for classifying breast cancer based on deep features integration and selection	89
Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference	89
JSMix: a holistic algorithm for learning with label noise	88
Dysarthric speech recognition: an investigation on using depthwise separable convolutions and residual connections	87
Diagnosis of breast cancer molecular subtypes using machine learning models on unimodal and multimodal datasets	86
Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction	85
Predict customer churn using combination deep learning networks model	85
LPL-VIO: monocular visual-inertial odometry with deep learning-based point and line features	84
Data-driven heat pump management: combining machine learning with anomaly detection for residential hot water systems	81
Quantized neural adaptive finite-time preassigned performance control for interconnected nonlinear systems	81
Accelerated black hole optimization algorithm with enhanced FOPID controller for omni-wheel drive mobile robot system	81
Deep learning and vision transformers-based framework for breast cancer and subtype identification	80
Soft sensor for the prediction of oxygen content in boiler flue gas using neural networks and extreme gradient boosting	79
Analysis of regional climate variables by using neural Granger causality	78
Exploring vision transformer: classifying electron-microscopy pollen images with transformer	75
An effective variational auto-encoder-based model for traffic flow imputation	75
Social image aesthetic classification and optimization algorithm in machine learning	73
CEDT2M: text-driven human motion generation via cross-modal mixture of encoder-decoder	73
Detecting and classifying breast masses via YOLO-based deep learning	73
Convolutional variational autoencoder for Northeast US coastal wind and flood hazard data augmentation	72
Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans	72
Synchronization analysis and parameters identification of uncertain delayed fractional-order BAM neural networks	69
Correction to: DEIDS: a novel intrusion detection system for industrial control systems	69
An in-depth examination of artificial intelligence-based methods for optimal power flow solutions	69
Deep learning-driven automatic detection of mucilage event in the Sea of Marmara, Turkey	69