Expert Systems

Papers
(The H4-Index of Expert Systems is 32. 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.)
ArticleCitations
Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends114
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches101
Deep learning techniques for recommender systems based on collaborative filtering97
Cassava disease recognition from low‐quality images using enhanced data augmentation model and deep learning88
Robust design of a robot gripper mechanism using new hybrid grasshopper optimization algorithm85
Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID‐19 testing laboratory selection problem71
An impact study of COVID‐19 on six different industries: Automobile, energy and power, agriculture, education, travel and tourism and consumer electronics71
Deep ensemble learning approach for lower extremity activities recognition using wearable sensors61
Algorithms for complex interval‐valued q‐rung orthopair fuzzy sets in decision making based on aggregation operators, AHP, and TOPSIS58
Breast ultrasound tumour classification: A Machine Learning—Radiomics based approach57
A new chaotic Lévy flight distribution optimization algorithm for solving constrained engineering problems56
Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals53
Complex Pythagorean Dombi fuzzy operators using aggregation operators and their decision‐making48
Integrating structural control, health monitoring, and energy harvesting for smart cities48
Blockchain‐based IoT architecture to secure healthcare system using identity‐based encryption46
An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition45
A hybrid decision‐making framework under complex spherical fuzzy prioritized weighted aggregation operators44
Entropy‐controlled deep features selection framework for grape leaf diseases recognition43
A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms37
Effects of artificial intelligence on English speaking anxiety and speaking performance: A case study36
Efficient detection of Parkinson's disease using deep learning techniques over medical data36
Image segmentation algorithm of lung cancer based on neural network model35
Internet of things and deep learning enabled healthcare disease diagnosis using biomedical electrocardiogram signals34
Segmentation and classification of ovarian cancer based on conditional adversarial image to image translation approach34
Pandemic coronavirus disease (Covid‐19): World effects analysis and prediction using machine‐learning techniques34
Automated COVID‐19 detection in chest X‐ray images using fine‐tuned deep learning architectures34
Feature optimization and identification of ovarian cancer using internet of medical things33
COVID‐19 diagnosis system by deep learning approaches33
The use of machine learning and deep learning algorithms in functional magnetic resonance imaging—A systematic review33
An inception‐ResNet deep learning approach to classify tumours in the ovary as benign and malignant32
Optimal deep learning based fusion model for biomedical image classification32
Fetal health classification from cardiotocographic data using machine learning32
Parameter reductions in N‐soft sets and their applications in decision‐making32
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