OOIR: Observatory of International Research

Papers

(The H4-Index of Artificial Intelligence Review is 61. 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 2020-04-01 to 2024-04-01.)

Article	Citations
A survey of the recent architectures of deep convolutional neural networks	1446
A comparative analysis of gradient boosting algorithms	572
A review on the long short-term memory model	570
Deep semantic segmentation of natural and medical images: a review	394
A review on machine learning in 3D printing: applications, potential, and challenges	287
A survey on sentiment analysis methods, applications, and challenges	222
Application of deep learning algorithms in geotechnical engineering: a short critical review	222
Advances in Sine Cosine Algorithm: A comprehensive survey	221
Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review	218
A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications	182
Multi-agent deep reinforcement learning: a survey	179
Transformer models for text-based emotion detection: a review of BERT-based approaches	172
Machine Learning in Drug Discovery: A Review	171
A survey of deep meta-learning	161
Chaos Game Optimization: a novel metaheuristic algorithm	154
A survey on evolutionary computation for complex continuous optimization	145
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art	142
Explainable artificial intelligence: a comprehensive review	136
A systematic review on overfitting control in shallow and deep neural networks	130
Image segmentation evaluation: a survey of methods	126
A review on fault detection and diagnosis techniques: basics and beyond	125
The intelligent critic framework for advanced optimal control	124
Systematic reviews in sentiment analysis: a tertiary study	115
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis	111
A survey of uncertainty in deep neural networks	109

Performance assessment of the metaheuristic optimization algorithms: an exhaustive review	109
A review of deep learning used in the hyperspectral image analysis for agriculture	109
Human activity recognition in artificial intelligence framework: a narrative review	105
A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection	104
A comprehensive survey of recent trends in deep learning for digital images augmentation	96
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor	94
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities	91
Fire Hawk Optimizer: a novel metaheuristic algorithm	90
Artificial intelligence in the creative industries: a review	89
Survey on evaluation methods for dialogue systems	89
A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications	83
An automated essay scoring systems: a systematic literature review	81
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches	79
A review on weight initialization strategies for neural networks	78
Various dimension reduction techniques for high dimensional data analysis: a review	77
Consensus in multi-agent systems: a review	77
Picture fuzzy interactional partitioned Heronian mean aggregation operators: an application to MADM process	74
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions	74
Human-in-the-loop machine learning: a state of the art	74
Role of artificial intelligence in rotor fault diagnosis: a comprehensive review	72
Artificial intelligence in cyber security: research advances, challenges, and opportunities	72
Modality specific U-Net variants for biomedical image segmentation: a survey	68
Nature inspired optimization algorithms or simply variations of metaheuristics?	68
Deep reinforcement learning in computer vision: a comprehensive survey	67
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives	67
A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems	66
Data stream clustering: a review	66
Artificial neural networks for water quality soft-sensing in wastewater treatment: a review	66
A comprehensive survey of sine cosine algorithm: variants and applications	65
Underwater image enhancement: a comprehensive review, recent trends, challenges and applications	65
Video super-resolution based on deep learning: a comprehensive survey	63
CovidSens: a vision on reliable social sensing for COVID-19	63
Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: integration of remote sensing and data-driven models	63
News recommender system: a review of recent progress, challenges, and opportunities	63
Reinforcement learning in robotic applications: a comprehensive survey	62
Handling Class-Imbalance with KNN (Neighbourhood) Under-Sampling for Software Defect Prediction	62