OOIR: Observatory of International Research

Papers

(The H4-Index of Expert Systems With Applications is 104. 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
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer	835
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts	753
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method	657
An improved grey wolf optimizer for solving engineering problems	588
Self-driving cars: A survey	532
Deep learning approaches for COVID-19 detection based on chest X-ray images	512
A review of fuzzy AHP methods for decision-making with subjective judgements	488
INFO: An efficient optimization algorithm based on weighted mean of vectors	460
Graph neural network for traffic forecasting: A survey	395
A review of deep learning methods for semantic segmentation of remote sensing imagery	365
Automatic text summarization: A comprehensive survey	360
Machine learning and data mining in manufacturing	356
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications	341
Applications of deep learning in stock market prediction: Recent progress	290
A survey and performance evaluation of deep learning methods for small object detection	279
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities	269
Heap-based optimizer inspired by corporate rank hierarchy for global optimization	259
A survey of blockchain consensus algorithms performance evaluation criteria	259
Red fox optimization algorithm	257
Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems	256
A new optimization method based on COOT bird natural life model	249
Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering	241
Machine Learning for industrial applications: A comprehensive literature review	237
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review	227
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review	223

Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time	215
Sign Language Recognition: A Deep Survey	212
Remora optimization algorithm	210
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble	206
Effects of the entropy weight on TOPSIS	203
A bidirectional LSTM deep learning approach for intrusion detection	184
Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review	181
Stock price prediction using deep learning and frequency decomposition	177
Machine learning techniques and data for stock market forecasting: A literature review	175
Applications and Research avenues for drone-based models in logistics: A classification and review	175
Stock market movement forecast: A Systematic review	174
Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development	170
Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions	169
MOSOA: A new multi-objective seagull optimization algorithm	168
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction	164
A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection	157
A novel Black Widow Optimization algorithm for multilevel thresholding image segmentation	156
Rice diseases detection and classification using attention based neural network and bayesian optimization	156
Wearable payment: A deep learning-based dual-stage SEM-ANN analysis	150
An efficient double adaptive random spare reinforced whale optimization algorithm	150
Dynamic Salp swarm algorithm for feature selection	149
An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion	149
Explaining anomalies detected by autoencoders using Shapley Additive Explanations	144
Gold volatility prediction using a CNN-LSTM approach	144
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks	141
Monarch butterfly optimization: A comprehensive review	141
An efficient Harris hawks-inspired image segmentation method	139
Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances	137
Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision	136
Portfolio optimization with return prediction using deep learning and machine learning	135
Feature Selection for Classification using Principal Component Analysis and Information Gain	135
An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection	135
Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process	133
Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images	133
Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems	132
Identification of rice plant diseases using lightweight attention networks	131
A feature selection algorithm of decision tree based on feature weight	131
Using VADER sentiment and SVM for predicting customer response sentiment	131
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning	128
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation	128
An efficient convolutional neural network for coronary heart disease prediction	128
Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection	126
Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization	124
Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives	124
A hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults	123
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients	123
Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction	123
A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM	122
A benchmark of machine learning approaches for credit score prediction	122
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions	121

Multiple-criteria decision-making sorting methods: A survey	121
Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems	120
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review	119
An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application	119
Improving classification accuracy using data augmentation on small data sets	118
Detection of DDoS attacks with feed forward based deep neural network model	118
Attention based CNN model for fire detection and localization in real-world images	117
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting	117
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm	116
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning	116
Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies	115
A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems	114
Linguistic feature based learning model for fake news detection and classification	113
Nested cross-validation when selecting classifiers is overzealous for most practical applications	113
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach	111
Tourism recommendation system based on semantic clustering and sentiment analysis	111
A novel pixel-split image encryption scheme based on 2D Salomon map	110
Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information	110
Trajectory planning for multi-robot systems: Methods and applications	110
Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities	110
A hybrid recommender system for recommending relevant movies using an expert system	110
Fake news detection in multiple platforms and languages	109
An improved Jaya optimization algorithm with Lévy flight	109
A two-layer feature selection method using Genetic Algorithm and Elastic Net	107
Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems	107
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals	106
A blockchain-based system to enhance aircraft parts traceability and trackability for inventory management	106
Third-party reverse logistics provider selection: A computational semantic analysis-based multi-perspective multi-attribute decision-making approach	105
Shapley-Lorenz eXplainable Artificial Intelligence	105
A new topic modeling based approach for aspect extraction in aspect based sentiment analysis: SS-LDA	104
A novel version of Cuckoo search algorithm for solving optimization problems	104