Expert Systems With Applications

Papers
(The H4-Index of Expert Systems With Applications is 103. 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 2020-07-01 to 2024-07-01.)
ArticleCitations
Marine Predators Algorithm: A nature-inspired metaheuristic1369
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer779
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts717
Chimp optimization algorithm686
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method620
An improved grey wolf optimizer for solving engineering problems560
Self-driving cars: A survey501
Deep learning approaches for COVID-19 detection based on chest X-ray images495
A review of fuzzy AHP methods for decision-making with subjective judgements454
INFO: An efficient optimization algorithm based on weighted mean of vectors424
Graph neural network for traffic forecasting: A survey337
Automatic text summarization: A comprehensive survey337
Machine learning and data mining in manufacturing332
A review of deep learning methods for semantic segmentation of remote sensing imagery330
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications282
Applications of deep learning in stock market prediction: Recent progress267
A survey and performance evaluation of deep learning methods for small object detection260
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities252
A survey of blockchain consensus algorithms performance evaluation criteria249
Heap-based optimizer inspired by corporate rank hierarchy for global optimization247
Red fox optimization algorithm242
Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems237
A new optimization method based on COOT bird natural life model231
Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering221
Machine Learning for industrial applications: A comprehensive literature review219
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review211
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review208
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble204
Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time202
Driver behavior detection and classification using deep convolutional neural networks195
Remora optimization algorithm195
Sign Language Recognition: A Deep Survey194
Selective Opposition based Grey Wolf Optimization188
Effects of the entropy weight on TOPSIS181
Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review172
Applications and Research avenues for drone-based models in logistics: A classification and review169
Stock price prediction using deep learning and frequency decomposition166
A bidirectional LSTM deep learning approach for intrusion detection161
MOSOA: A new multi-objective seagull optimization algorithm161
Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data161
An efficient henry gas solubility optimization for feature selection159
Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development159
Machine learning techniques and data for stock market forecasting: A literature review159
Stock market movement forecast: A Systematic review159
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction149
An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion148
Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions148
A novel Black Widow Optimization algorithm for multilevel thresholding image segmentation147
A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection147
An efficient double adaptive random spare reinforced whale optimization algorithm143
Rice diseases detection and classification using attention based neural network and bayesian optimization143
Wearable payment: A deep learning-based dual-stage SEM-ANN analysis141
Detection of illicit accounts over the Ethereum blockchain139
Dynamic Salp swarm algorithm for feature selection138
Monarch butterfly optimization: A comprehensive review138
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks137
An AHP-based multi-criteria model for sustainable supply chain development in the renewable energy sector136
An efficient Harris hawks-inspired image segmentation method134
PQ-RRT*: An improved path planning algorithm for mobile robots133
An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection129
Gold volatility prediction using a CNN-LSTM approach129
Feature Selection for Classification using Principal Component Analysis and Information Gain126
A feature selection algorithm of decision tree based on feature weight125
Identification of rice plant diseases using lightweight attention networks124
Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision124
Explaining anomalies detected by autoencoders using Shapley Additive Explanations123
Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems123
Using VADER sentiment and SVM for predicting customer response sentiment122
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation121
Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances120
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients119
A hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults119
Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process118
An efficient convolutional neural network for coronary heart disease prediction118
Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images117
Portfolio optimization with return prediction using deep learning and machine learning116
A benchmark of machine learning approaches for credit score prediction116
Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems116
Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection115
Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization115
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review114
Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction114
An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application113
A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM112
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm112
Multiple-criteria decision-making sorting methods: A survey111
Improving classification accuracy using data augmentation on small data sets110
Linguistic feature based learning model for fake news detection and classification110
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning110
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions109
Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives108
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting108
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach107
Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information107
A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems107
Yin-Yang firefly algorithm based on dimensionally Cauchy mutation107
Motor imagery EEG recognition based on conditional optimization empirical mode decomposition and multi-scale convolutional neural network106
An improved Jaya optimization algorithm with Lévy flight106
An Automatic Nucleus Segmentation and CNN Model based Classification Method of White Blood Cell106
A hybrid recommender system for recommending relevant movies using an expert system105
Attention based CNN model for fire detection and localization in real-world images104
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals104
Detection of DDoS attacks with feed forward based deep neural network model103
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