OOIR: Observatory of International Research

Papers

(The H4-Index of Artificial Intelligence Review is 68. 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 2020-11-01 to 2024-11-01.)

Article	Citations
A survey on sentiment analysis methods, applications, and challenges	380
Machine Learning in Drug Discovery: A Review	285
Application of deep learning algorithms in geotechnical engineering: a short critical review	275
Multi-agent deep reinforcement learning: a survey	259
A survey of uncertainty in deep neural networks	251
Advances in Sine Cosine Algorithm: A comprehensive survey	240
Transformer models for text-based emotion detection: a review of BERT-based approaches	239
Explainable artificial intelligence: a comprehensive review	230
A survey of deep meta-learning	206
A systematic review on overfitting control in shallow and deep neural networks	194
A survey on evolutionary computation for complex continuous optimization	180
Human-in-the-loop machine learning: a state of the art	179
Artificial intelligence in the creative industries: a review	170
A review on fault detection and diagnosis techniques: basics and beyond	168
A review of deep learning used in the hyperspectral image analysis for agriculture	154
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis	154
Fire Hawk Optimizer: a novel metaheuristic algorithm	148
The intelligent critic framework for advanced optimal control	146
A comprehensive survey of recent trends in deep learning for digital images augmentation	145
Human activity recognition in artificial intelligence framework: a narrative review	142
Consensus in multi-agent systems: a review	142
Systematic reviews in sentiment analysis: a tertiary study	140
An automated essay scoring systems: a systematic literature review	139
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities	132
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives	126

Recent advances in decision trees: an updated survey	121
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches	121
Crayfish optimization algorithm	119
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor	117
Deep learning modelling techniques: current progress, applications, advantages, and challenges	117
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions	115
A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications	112
A review on weight initialization strategies for neural networks	108
Artificial intelligence in cyber security: research advances, challenges, and opportunities	106
Various dimension reduction techniques for high dimensional data analysis: a review	105
Underwater image enhancement: a comprehensive review, recent trends, challenges and applications	103
A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems	96
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges	95
Monte Carlo Tree Search: a review of recent modifications and applications	94
Deep reinforcement learning in computer vision: a comprehensive survey	93
Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual	93
Artificial neural networks for water quality soft-sensing in wastewater treatment: a review	92
Video super-resolution based on deep learning: a comprehensive survey	91
Reinforcement learning in robotic applications: a comprehensive survey	89
Quantum-inspired metaheuristic algorithms: comprehensive survey and classification	89
Recent advances in deep learning based dialogue systems: a systematic survey	88
Deep learning in drug discovery: an integrative review and future challenges	85
Handling Class-Imbalance with KNN (Neighbourhood) Under-Sampling for Software Defect Prediction	85
Modality specific U-Net variants for biomedical image segmentation: a survey	85
Picture fuzzy interactional partitioned Heronian mean aggregation operators: an application to MADM process	85
Knowledge Graphs: Opportunities and Challenges	83
State of the art: a review of sentiment analysis based on sequential transfer learning	81
Attention, please! A survey of neural attention models in deep learning	81
News recommender system: a review of recent progress, challenges, and opportunities	80
Medical image data augmentation: techniques, comparisons and interpretations	79
Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals	77
A comprehensive survey of sine cosine algorithm: variants and applications	76
A review of convolutional neural network architectures and their optimizations	76
Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: integration of remote sensing and data-driven models	75
Machine learning algorithms to forecast air quality: a survey	74
A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches	74
Swarm intelligence algorithms for multiple unmanned aerial vehicles collaboration: a comprehensive review	73
A Survey on ensemble learning under the era of deep learning	71
Machine learning towards intelligent systems: applications, challenges, and opportunities	71
A systematic literature review on state-of-the-art deep learning methods for process prediction	70
Spider wasp optimizer: a novel meta-heuristic optimization algorithm	69
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential	69
Biometrics recognition using deep learning: a survey	68