OOIR: Observatory of International Research

Papers

(The H4-Index of Artificial Intelligence Review is 62. 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 2020-05-01 to 2024-05-01.)

Article	Citations
A comparative analysis of gradient boosting algorithms	618
A review on the long short-term memory model	612
Deep semantic segmentation of natural and medical images: a review	408
A review on machine learning in 3D printing: applications, potential, and challenges	303
A survey on sentiment analysis methods, applications, and challenges	253
Application of deep learning algorithms in geotechnical engineering: a short critical review	237
Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review	228
Advances in Sine Cosine Algorithm: A comprehensive survey	222
Machine Learning in Drug Discovery: A Review	198
Multi-agent deep reinforcement learning: a survey	192
A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications	192
Transformer models for text-based emotion detection: a review of BERT-based approaches	187
A survey of deep meta-learning	169
Chaos Game Optimization: a novel metaheuristic algorithm	161
Explainable artificial intelligence: a comprehensive review	151
A survey on evolutionary computation for complex continuous optimization	150
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art	150
A systematic review on overfitting control in shallow and deep neural networks	140
A review on fault detection and diagnosis techniques: basics and beyond	134
A survey of uncertainty in deep neural networks	129
The intelligent critic framework for advanced optimal control	128
Systematic reviews in sentiment analysis: a tertiary study	120
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis	116
A review of deep learning used in the hyperspectral image analysis for agriculture	114
Human activity recognition in artificial intelligence framework: a narrative review	114

Performance assessment of the metaheuristic optimization algorithms: an exhaustive review	114
A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection	108
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor	104
A comprehensive survey of recent trends in deep learning for digital images augmentation	101
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities	96
Fire Hawk Optimizer: a novel metaheuristic algorithm	96
Human-in-the-loop machine learning: a state of the art	95
Artificial intelligence in the creative industries: a review	94
A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications	92
An automated essay scoring systems: a systematic literature review	90
Survey on evaluation methods for dialogue systems	89
Consensus in multi-agent systems: a review	89
A review on weight initialization strategies for neural networks	84
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches	84
Various dimension reduction techniques for high dimensional data analysis: a review	81
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions	79
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives	78
Role of artificial intelligence in rotor fault diagnosis: a comprehensive review	78
Picture fuzzy interactional partitioned Heronian mean aggregation operators: an application to MADM process	76
Deep reinforcement learning in computer vision: a comprehensive survey	76
Artificial intelligence in cyber security: research advances, challenges, and opportunities	74
Modality specific U-Net variants for biomedical image segmentation: a survey	73
Nature inspired optimization algorithms or simply variations of metaheuristics?	73
A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems	72
Recent advances in decision trees: an updated survey	70
Artificial neural networks for water quality soft-sensing in wastewater treatment: a review	70
Handling Class-Imbalance with KNN (Neighbourhood) Under-Sampling for Software Defect Prediction	70
A comprehensive survey of sine cosine algorithm: variants and applications	70
Data stream clustering: a review	68
Video super-resolution based on deep learning: a comprehensive survey	67
Underwater image enhancement: a comprehensive review, recent trends, challenges and applications	67
Quantum-inspired metaheuristic algorithms: comprehensive survey and classification	65
CovidSens: a vision on reliable social sensing for COVID-19	65
Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: integration of remote sensing and data-driven models	65
News recommender system: a review of recent progress, challenges, and opportunities	63
Reinforcement learning in robotic applications: a comprehensive survey	63
State of the art: a review of sentiment analysis based on sequential transfer learning	62
Attention, please! A survey of neural attention models in deep learning	62