OOIR: Observatory of International Research

Papers

(The H4-Index of Artificial Intelligence Review is 66. 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 2020-09-01 to 2024-09-01.)

Article	Citations
A survey on sentiment analysis methods, applications, and challenges	356
Machine Learning in Drug Discovery: A Review	273
Application of deep learning algorithms in geotechnical engineering: a short critical review	271
Multi-agent deep reinforcement learning: a survey	252
Advances in Sine Cosine Algorithm: A comprehensive survey	239
Transformer models for text-based emotion detection: a review of BERT-based approaches	235
A survey of uncertainty in deep neural networks	223
A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications	220
Explainable artificial intelligence: a comprehensive review	214
A survey of deep meta-learning	202
A survey on evolutionary computation for complex continuous optimization	178
A systematic review on overfitting control in shallow and deep neural networks	175
A review on fault detection and diagnosis techniques: basics and beyond	162
Human-in-the-loop machine learning: a state of the art	158
Artificial intelligence in the creative industries: a review	151
A review of deep learning used in the hyperspectral image analysis for agriculture	149
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis	148
The intelligent critic framework for advanced optimal control	141
Performance assessment of the metaheuristic optimization algorithms: an exhaustive review	139
A comprehensive survey of recent trends in deep learning for digital images augmentation	139
Fire Hawk Optimizer: a novel metaheuristic algorithm	138
Systematic reviews in sentiment analysis: a tertiary study	137
An automated essay scoring systems: a systematic literature review	136
Human activity recognition in artificial intelligence framework: a narrative review	133
Consensus in multi-agent systems: a review	133

Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities	126
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives	119
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor	115
Recent advances in decision trees: an updated survey	110
A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications	110
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions	109
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches	108
A review on weight initialization strategies for neural networks	106
Crayfish optimization algorithm	106
Various dimension reduction techniques for high dimensional data analysis: a review	103
Artificial intelligence in cyber security: research advances, challenges, and opportunities	101
Deep learning modelling techniques: current progress, applications, advantages, and challenges	99
Underwater image enhancement: a comprehensive review, recent trends, challenges and applications	95
A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems	91
Deep reinforcement learning in computer vision: a comprehensive survey	90
Monte Carlo Tree Search: a review of recent modifications and applications	90
Video super-resolution based on deep learning: a comprehensive survey	89
Artificial neural networks for water quality soft-sensing in wastewater treatment: a review	87
Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual	87
Reinforcement learning in robotic applications: a comprehensive survey	87
Quantum-inspired metaheuristic algorithms: comprehensive survey and classification	85
Handling Class-Imbalance with KNN (Neighbourhood) Under-Sampling for Software Defect Prediction	84
Role of artificial intelligence in rotor fault diagnosis: a comprehensive review	84
Recent advances in deep learning based dialogue systems: a systematic survey	83
Picture fuzzy interactional partitioned Heronian mean aggregation operators: an application to MADM process	83
Modality specific U-Net variants for biomedical image segmentation: a survey	83
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges	82
Deep learning in drug discovery: an integrative review and future challenges	80
State of the art: a review of sentiment analysis based on sequential transfer learning	79
News recommender system: a review of recent progress, challenges, and opportunities	79
Attention, please! A survey of neural attention models in deep learning	78
Knowledge Graphs: Opportunities and Challenges	77
A comprehensive survey of sine cosine algorithm: variants and applications	76
Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals	74
Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: integration of remote sensing and data-driven models	73
A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches	72
A review of convolutional neural network architectures and their optimizations	72
Medical image data augmentation: techniques, comparisons and interpretations	72
A systematic literature review on state-of-the-art deep learning methods for process prediction	69
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential	68
Machine learning towards intelligent systems: applications, challenges, and opportunities	67
Swarm intelligence algorithms for multiple unmanned aerial vehicles collaboration: a comprehensive review	66