OOIR: Observatory of International Research

Papers

(The H4-Index of Expert Systems With Applications is 101. 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
Marine Predators Algorithm: A nature-inspired metaheuristic	1288
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer	728
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts	671
Chimp optimization algorithm	642
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method	585
An improved grey wolf optimizer for solving engineering problems	519
Deep learning approaches for COVID-19 detection based on chest X-ray images	480
Self-driving cars: A survey	470
A review of fuzzy AHP methods for decision-making with subjective judgements	420
INFO: An efficient optimization algorithm based on weighted mean of vectors	387
Automatic text summarization: A comprehensive survey	317
Machine learning and data mining in manufacturing	302
A review of deep learning methods for semantic segmentation of remote sensing imagery	298
Graph neural network for traffic forecasting: A survey	294
Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection	256
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications	249
Applications of deep learning in stock market prediction: Recent progress	246
A survey and performance evaluation of deep learning methods for small object detection	238
Heap-based optimizer inspired by corporate rank hierarchy for global optimization	236
A survey of blockchain consensus algorithms performance evaluation criteria	232
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities	230
Red fox optimization algorithm	224
A feature selection algorithm for intrusion detection system based on Pigeon Inspired Optimizer	220
A new optimization method based on COOT bird natural life model	219
Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems	213

Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review	204
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review	201
Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering	201
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble	198
Machine Learning for industrial applications: A comprehensive literature review	198
Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time	182
Remora optimization algorithm	181
Driver behavior detection and classification using deep convolutional neural networks	179
Selective Opposition based Grey Wolf Optimization	176
Effects of the entropy weight on TOPSIS	174
Sign Language Recognition: A Deep Survey	174
Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data	157
Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review	156
MOSOA: A new multi-objective seagull optimization algorithm	154
An efficient henry gas solubility optimization for feature selection	154
Applications and Research avenues for drone-based models in logistics: A classification and review	151
Stock price prediction using deep learning and frequency decomposition	150
Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development	149
Boosting salp swarm algorithm by sine cosine algorithm and disrupt operator for feature selection	148
Stock market movement forecast: A Systematic review	148
An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion	144
Group teaching optimization algorithm: A novel metaheuristic method for solving global optimization problems	144
A novel Black Widow Optimization algorithm for multilevel thresholding image segmentation	143
A bidirectional LSTM deep learning approach for intrusion detection	141
A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection	139
Machine learning techniques and data for stock market forecasting: A literature review	138
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction	137
An efficient double adaptive random spare reinforced whale optimization algorithm	136
Dynamic Salp swarm algorithm for feature selection	134
Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions	133
Monarch butterfly optimization: A comprehensive review	133
Wearable payment: A deep learning-based dual-stage SEM-ANN analysis	133
Detection of illicit accounts over the Ethereum blockchain	132
An efficient Harris hawks-inspired image segmentation method	132
An AHP-based multi-criteria model for sustainable supply chain development in the renewable energy sector	129
Intelligent personal assistants: A systematic literature review	127
Rice diseases detection and classification using attention based neural network and bayesian optimization	126
Gold volatility prediction using a CNN-LSTM approach	125
An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection	123
ReDMark: Framework for residual diffusion watermarking based on deep networks	119
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients	117
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation	117
Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems	117
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks	117
PQ-RRT*: An improved path planning algorithm for mobile robots	116
Feature Selection for Classification using Principal Component Analysis and Information Gain	116
Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision	116
Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process	114
A feature selection algorithm of decision tree based on feature weight	114
A hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults	113

Explaining anomalies detected by autoencoders using Shapley Additive Explanations	113
An efficient convolutional neural network for coronary heart disease prediction	112
Identification of rice plant diseases using lightweight attention networks	112
A benchmark of machine learning approaches for credit score prediction	111
Using VADER sentiment and SVM for predicting customer response sentiment	110
Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems	109
A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM	107
Yin-Yang firefly algorithm based on dimensionally Cauchy mutation	107
An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application	107
Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection	107
Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization	106
An Automatic Nucleus Segmentation and CNN Model based Classification Method of White Blood Cell	106
Improving classification accuracy using data augmentation on small data sets	106
Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information	105
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review	105
Portfolio optimization with return prediction using deep learning and machine learning	105
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm	105
Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection	104
A hybrid recommender system for recommending relevant movies using an expert system	103
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting	103
Motor imagery EEG recognition based on conditional optimization empirical mode decomposition and multi-scale convolutional neural network	103
Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances	102
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach	102
Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images	102
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions	101
Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction	101