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 2021-05-01 to 2025-05-01.)

Article	Citations
Deconvolution filter design of transmission channel: application to 3D objects using features extraction from orthogonal descriptor	416
Prediction of uniaxial compressive strength of rock samples using density weighted least squares twin support vector regression	355
GPU-accelerated homomorphic encryption computing: empowering federated learning in IoV	307
Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans	278
Special issue on AI-based web information processing	239
Retraction Note: Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm	211
Reviving autoencoder pretraining	211
An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling	211
A detector for page-level handwritten music object recognition based on deep learning	176
Q-learning-based sequential recovery of interdependent power-communication network after cascading failures	175
Lyapunov-guided representation of recurrent neural network performance	174
Social image aesthetic classification and optimization algorithm in machine learning	164
A CNN-LSTM-based fault classifier and locator for underground cables	158
RETRACTED ARTICLE: Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction	156
Re-HGNM: a repeat aware hypergraph neural machine for session-based recommendation	152
Hierarchical capsule network for hyperspectral image classification	145
Edge computing clone node recognition system based on machine learning	144
Reducing environment exposure to COVID-19 by IoT sensing and computing with deep learning	136
Adaptive kernel selection network with attention constraint for surgical instrument classification	135
A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem	126
Development of sliding mode control based on diagonal recurrent neural network for coupled tank system	122
Multi-agent-based smart power management for remote health monitoring	120
Semi-global fixed/predefined-time RNN models with comprehensive comparisons for time-variant neural computing	119
ECNN: evaluating a cluster-neural network model for city innovation capability	118
An efficient and scalable semi-supervised framework for semantic segmentation	115

From fair solutions to compromise solutions in multi-objective deep reinforcement learning	112
Ohabm-net: an enhanced attention-driven hybrid network for improved breast mass detection	107
Intercity round-trip multi-region demand prediction based on multi-task fusion recurrent graph attention network	105
Pedestrian gender classification on imbalanced and small sample datasets using deep and traditional features	104
An interactive deep model combined with Retinex for low-light visible and infrared image fusion	102
Improving Chinese word segmentation with character–lexicon class attention	102
Reinforcement learning-based control of improved hybrid current modulated dual active bridge AC/DC converter	101
Development of a design tool for the horizontal stabilizer of a helicopter using artificial neural networks	95
Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation	94
LPL-VIO: monocular visual-inertial odometry with deep learning-based point and line features	92
Open set task augmentation facilitates generalization of deep neural networks trained on small data sets	91
Energy enhancement of routing protocol with hidden Markov model in wireless sensor networks	89
Exploring vision transformer: classifying electron-microscopy pollen images with transformer	89
Occluded human pose estimation based on limb joint augmentation	89
Neural acceleration of incomplete factorization preconditioning	88
Who should I trust? Cautiously learning with unreliable experts	88
Real-time guidance for powered landing of reusable rockets via deep learning	87
Correction: Stochastic optimal reactive power dispatch at varying time of load demand and renewable energy resources using an efficient modified jellyfish optimizer	85
Incremental deep learning for reflectivity data recognition in stomatology	85
Deep noise mitigation and semantic reconstruction hashing for unsupervised cross-modal retrieval	84
An intelligent approach for autism spectrum disorder diagnosis and rehabilitation features identification	84
Predict customer churn using combination deep learning networks model	84
Neural network optimal control for discrete-time nonlinear systems with known internal dynamics	84
Assessing kinetic meaning of music and dance via deep cross-modal retrieval	83
Performance evaluation of cluster-based federated machine learning	83
An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications	83
A nonrepetitive fault estimation design via iterative learning scheme for nonlinear systems with iteration-dependent references	82
Optimal radial topology of electric unbalanced and balanced distribution system using improved coyote optimization algorithm for power loss reduction	82
Estimation of leaf Mg values of apple trees in early period with machine learning methods	81
Distilled pooling transformer encoder for efficient realistic image dehazing	79
A novel k-step fault estimation and fault-tolerant control scheme in wireless power transfer systems	79
Object modeling through weightless tracking	79
Logistic regression prediction models and key influencing factors analysis of diabetes based on algorithm design	76
Analysis of regional climate variables by using neural Granger causality	75
Bi-graph attention network for energy price forecasting via multiple time scale learning	74
Dual-channel graph contrastive learning for multi-label classification with label-specific features and label correlations	73
A feature selection method based on Shapley values robust for concept shift in regression	73
Frontal face reconstruction based on detail identification, variable scale self-attention and flexible skip connection	73
A hybrid approach to real-time multi-target tracking	73
EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease	72
Soft sensor for the prediction of oxygen content in boiler flue gas using neural networks and extreme gradient boosting	71
Deep learning approach to obtain collaborative filtering neighborhoods	71
Ground-truth generation through crowdsourcing with probabilistic indexes	71
JSMix: a holistic algorithm for learning with label noise	70