OOIR: Observatory of International Research

Papers

(The H4-Index of Neural Computing & Applications is 70. 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 2021-06-01 to 2025-06-01.)

Article	Citations
Deconvolution filter design of transmission channel: application to 3D objects using features extraction from orthogonal descriptor	424
Special issue on AI-based web information processing	381
Reviving autoencoder pretraining	323
Retraction Note: Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm	290
An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling	223
A detector for page-level handwritten music object recognition based on deep learning	220
Q-learning-based sequential recovery of interdependent power-communication network after cascading failures	216
Lyapunov-guided representation of recurrent neural network performance	204
A CNN-LSTM-based fault classifier and locator for underground cables	181
Re-HGNM: a repeat aware hypergraph neural machine for session-based recommendation	179
Reducing environment exposure to COVID-19 by IoT sensing and computing with deep learning	173
Edge computing clone node recognition system based on machine learning	173
Adaptive kernel selection network with attention constraint for surgical instrument classification	166
Development of sliding mode control based on diagonal recurrent neural network for coupled tank system	156
Semi-global fixed/predefined-time RNN models with comprehensive comparisons for time-variant neural computing	150
An efficient and scalable semi-supervised framework for semantic segmentation	147
From fair solutions to compromise solutions in multi-objective deep reinforcement learning	143
Ohabm-net: an enhanced attention-driven hybrid network for improved breast mass detection	142
Intercity round-trip multi-region demand prediction based on multi-task fusion recurrent graph attention network	127
Improving Chinese word segmentation with character–lexicon class attention	124
Pedestrian gender classification on imbalanced and small sample datasets using deep and traditional features	124
Reinforcement learning-based control of improved hybrid current modulated dual active bridge AC/DC converter	123
Development of a design tool for the horizontal stabilizer of a helicopter using artificial neural networks	120
Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation	115
LPL-VIO: monocular visual-inertial odometry with deep learning-based point and line features	113

Energy enhancement of routing protocol with hidden Markov model in wireless sensor networks	110
Open set task augmentation facilitates generalization of deep neural networks trained on small data sets	110
Occluded human pose estimation based on limb joint augmentation	105
Who should I trust? Cautiously learning with unreliable experts	102
Neural acceleration of incomplete factorization preconditioning	100
Real-time guidance for powered landing of reusable rockets via deep learning	97
Correction: Stochastic optimal reactive power dispatch at varying time of load demand and renewable energy resources using an efficient modified jellyfish optimizer	95
Incremental deep learning for reflectivity data recognition in stomatology	95
An intelligent approach for autism spectrum disorder diagnosis and rehabilitation features identification	94
Predict customer churn using combination deep learning networks model	91
Optimal radial topology of electric unbalanced and balanced distribution system using improved coyote optimization algorithm for power loss reduction	91
Deep noise mitigation and semantic reconstruction hashing for unsupervised cross-modal retrieval	91
A nonrepetitive fault estimation design via iterative learning scheme for nonlinear systems with iteration-dependent references	91
Performance evaluation of cluster-based federated machine learning	91
Estimation of leaf Mg values of apple trees in early period with machine learning methods	90
A novel k-step fault estimation and fault-tolerant control scheme in wireless power transfer systems	89
Logistic regression prediction models and key influencing factors analysis of diabetes based on algorithm design	87
Object modeling through weightless tracking	87
Bi-graph attention network for energy price forecasting via multiple time scale learning	86
EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease	86
Frontal face reconstruction based on detail identification, variable scale self-attention and flexible skip connection	86
Dual-channel graph contrastive learning for multi-label classification with label-specific features and label correlations	86
Ground-truth generation through crowdsourcing with probabilistic indexes	85
Deep learning approach to obtain collaborative filtering neighborhoods	85
Chimera states and information transfer in interacting populations of map-based neurons	83
BO–SHAP–BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities	82
Deep learning model for early prediction of material fracture in tensile testing	81
A novel augmentation strategy for credit scoring modeling	78
Defense against adversarial attacks via textual embeddings based on semantic associative field	78
Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction	77
An intelligent traceability method of water pollution based on dynamic multi-mode optimization	76
Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference	76
Dysarthric speech recognition: an investigation on using depthwise separable convolutions and residual connections	75
RETRACTED ARTICLE: Research on control strategy and policy optimal scheduling based on an improved genetic algorithm	75
Cost-effective economic dispatch in large-scale power systems using enhanced manta ray foraging optimization	74
DeepDepth: Prediction of O(6)-methylguanine-DNA methyltransferase genotype in glioblastoma patients using multimodal representation learning based on deep feature fusion	74
A new hybrid recurrent artificial neural network for time series forecasting	72
A novel algorithm based on DNA coding for substitution box generation problem	72
Integration of global and local information for text classification	72
Observer-based adaptive control and faults estimation for T-S fuzzy singular fractional order systems	72
Diagnosis of breast cancer molecular subtypes using machine learning models on unimodal and multimodal datasets	72
Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach	72
An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications	71
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer	70
An in-depth examination of artificial intelligence-based methods for optimal power flow solutions	70
Prediction of uniaxial compressive strength of rock samples using density weighted least squares twin support vector regression	70