Expert Systems With Applications

Papers
(The H4-Index of Expert Systems With Applications is 105. 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 2020-10-01 to 2024-10-01.)
ArticleCitations
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer842
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts757
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method664
An improved grey wolf optimizer for solving engineering problems602
Self-driving cars: A survey540
Deep learning approaches for COVID-19 detection based on chest X-ray images514
A review of fuzzy AHP methods for decision-making with subjective judgements491
INFO: An efficient optimization algorithm based on weighted mean of vectors466
Graph neural network for traffic forecasting: A survey412
A review of deep learning methods for semantic segmentation of remote sensing imagery376
Automatic text summarization: A comprehensive survey367
Machine learning and data mining in manufacturing361
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications356
Applications of deep learning in stock market prediction: Recent progress296
A survey and performance evaluation of deep learning methods for small object detection282
Red fox optimization algorithm261
Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems260
Heap-based optimizer inspired by corporate rank hierarchy for global optimization260
A new optimization method based on COOT bird natural life model254
Machine Learning for industrial applications: A comprehensive literature review245
Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering243
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review230
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review224
Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time219
Sign Language Recognition: A Deep Survey216
Remora optimization algorithm214
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble207
Effects of the entropy weight on TOPSIS203
A bidirectional LSTM deep learning approach for intrusion detection190
Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review183
Stock price prediction using deep learning and frequency decomposition181
Applications and Research avenues for drone-based models in logistics: A classification and review179
Machine learning techniques and data for stock market forecasting: A literature review179
Stock market movement forecast: A Systematic review176
Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions175
Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development173
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction169
MOSOA: A new multi-objective seagull optimization algorithm168
Rice diseases detection and classification using attention based neural network and bayesian optimization161
A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection159
A novel Black Widow Optimization algorithm for multilevel thresholding image segmentation156
Explaining anomalies detected by autoencoders using Shapley Additive Explanations152
Wearable payment: A deep learning-based dual-stage SEM-ANN analysis152
Dynamic Salp swarm algorithm for feature selection150
An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion149
Gold volatility prediction using a CNN-LSTM approach145
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks144
Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances142
An efficient Harris hawks-inspired image segmentation method141
Monarch butterfly optimization: A comprehensive review141
Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision138
Portfolio optimization with return prediction using deep learning and machine learning138
Feature Selection for Classification using Principal Component Analysis and Information Gain137
An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection136
Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images135
Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process135
Identification of rice plant diseases using lightweight attention networks133
Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems133
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning132
A feature selection algorithm of decision tree based on feature weight131
Using VADER sentiment and SVM for predicting customer response sentiment131
An efficient convolutional neural network for coronary heart disease prediction129
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation129
Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection127
Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives127
Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction125
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients124
Multiple-criteria decision-making sorting methods: A survey124
Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization124
A hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults124
A benchmark of machine learning approaches for credit score prediction123
A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM123
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions122
Detection of DDoS attacks with feed forward based deep neural network model122
Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems121
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review120
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting119
Attention based CNN model for fire detection and localization in real-world images119
An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application119
A novel pixel-split image encryption scheme based on 2D Salomon map118
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning118
Improving classification accuracy using data augmentation on small data sets118
Nested cross-validation when selecting classifiers is overzealous for most practical applications117
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm116
Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies116
Trajectory planning for multi-robot systems: Methods and applications116
Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities116
A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems115
Linguistic feature based learning model for fake news detection and classification113
Tourism recommendation system based on semantic clustering and sentiment analysis112
A two-layer feature selection method using Genetic Algorithm and Elastic Net111
Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information111
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach111
A hybrid recommender system for recommending relevant movies using an expert system110
An improved Jaya optimization algorithm with Lévy flight109
Fake news detection in multiple platforms and languages109
Shapley-Lorenz eXplainable Artificial Intelligence108
A blockchain-based system to enhance aircraft parts traceability and trackability for inventory management108
Remote sensing image super-resolution and object detection: Benchmark and state of the art108
Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems108
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals106
A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks106
A novel version of Cuckoo search algorithm for solving optimization problems106
Third-party reverse logistics provider selection: A computational semantic analysis-based multi-perspective multi-attribute decision-making approach105
DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification105
Development and application of slime mould algorithm for optimal economic emission dispatch105
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