Expert Systems With Applications

Papers
(The H4-Index of Expert Systems With Applications is 99. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Marine Predators Algorithm: A nature-inspired metaheuristic1249
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer704
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts644
Chimp optimization algorithm621
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method555
An improved grey wolf optimizer for solving engineering problems495
Deep learning approaches for COVID-19 detection based on chest X-ray images472
Self-driving cars: A survey451
A review of fuzzy AHP methods for decision-making with subjective judgements409
INFO: An efficient optimization algorithm based on weighted mean of vectors362
Automatic text summarization: A comprehensive survey301
Machine learning and data mining in manufacturing292
A review of deep learning methods for semantic segmentation of remote sensing imagery285
Graph neural network for traffic forecasting: A survey277
Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection251
Applications of deep learning in stock market prediction: Recent progress236
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications234
A survey and performance evaluation of deep learning methods for small object detection230
A survey of blockchain consensus algorithms performance evaluation criteria225
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities225
Heap-based optimizer inspired by corporate rank hierarchy for global optimization224
A feature selection algorithm for intrusion detection system based on Pigeon Inspired Optimizer215
Red fox optimization algorithm213
A new optimization method based on COOT bird natural life model207
Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems201
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review197
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review195
DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction195
Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering194
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble192
Machine Learning for industrial applications: A comprehensive literature review187
Selective Opposition based Grey Wolf Optimization175
Driver behavior detection and classification using deep convolutional neural networks173
Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time171
Sign Language Recognition: A Deep Survey166
Remora optimization algorithm165
Effects of the entropy weight on TOPSIS158
An efficient henry gas solubility optimization for feature selection152
Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data152
MOSOA: A new multi-objective seagull optimization algorithm152
Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review151
Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development145
Stock price prediction using deep learning and frequency decomposition145
Boosting salp swarm algorithm by sine cosine algorithm and disrupt operator for feature selection145
An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion143
Applications and Research avenues for drone-based models in logistics: A classification and review142
Group teaching optimization algorithm: A novel metaheuristic method for solving global optimization problems142
Stock market movement forecast: A Systematic review141
A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities140
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait138
A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection137
A novel Black Widow Optimization algorithm for multilevel thresholding image segmentation137
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction134
Monarch butterfly optimization: A comprehensive review133
Dynamic Salp swarm algorithm for feature selection132
A bidirectional LSTM deep learning approach for intrusion detection131
An efficient Harris hawks-inspired image segmentation method130
Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions129
An efficient double adaptive random spare reinforced whale optimization algorithm128
An AHP-based multi-criteria model for sustainable supply chain development in the renewable energy sector128
Wearable payment: A deep learning-based dual-stage SEM-ANN analysis128
Machine learning techniques and data for stock market forecasting: A literature review127
Detection of illicit accounts over the Ethereum blockchain126
Intelligent personal assistants: A systematic literature review123
Rice diseases detection and classification using attention based neural network and bayesian optimization122
Gold volatility prediction using a CNN-LSTM approach119
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients116
An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection116
ReDMark: Framework for residual diffusion watermarking based on deep networks115
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation114
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks114
Feature Selection for Classification using Principal Component Analysis and Information Gain113
Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems113
Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision112
PQ-RRT*: An improved path planning algorithm for mobile robots112
Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process110
A hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults110
A feature selection algorithm of decision tree based on feature weight109
An efficient convolutional neural network for coronary heart disease prediction109
An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application107
Using VADER sentiment and SVM for predicting customer response sentiment107
Explaining anomalies detected by autoencoders using Shapley Additive Explanations106
Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems106
Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization106
A benchmark of machine learning approaches for credit score prediction105
Improving classification accuracy using data augmentation on small data sets105
Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection104
Yin-Yang firefly algorithm based on dimensionally Cauchy mutation104
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review104
A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM104
Identification of rice plant diseases using lightweight attention networks104
An Automatic Nucleus Segmentation and CNN Model based Classification Method of White Blood Cell103
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting103
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm102
Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information102
Motor imagery EEG recognition based on conditional optimization empirical mode decomposition and multi-scale convolutional neural network102
Portfolio optimization with return prediction using deep learning and machine learning102
A hybrid recommender system for recommending relevant movies using an expert system101
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach100
Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection99
Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction99
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning99
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