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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Analyzing the impact of feature selection methods on machine learning algorithms for heart disease prediction
Zeinab Noroozi, Azam Orooji, Leila Erfannia
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Identifying candidate RNA-seq biomarkers for severity discrimination in chemical injuries: A machine learning and molecular dynamics approach
Masoud Arabfard, Esmaeil Behmard, Mazaher Maghsoudloo, et al.
International Immunopharmacology (2025) Vol. 148, pp. 114090-114090
Closed Access | Times Cited: 2
Optimal band selection and transfer in drone-based hyperspectral images for plant-level vegetable crops identification using statistical-swarm intelligence (SSI) hybrid algorithms
Anagha S. Sarma, ‪Rama Rao Nidamanuri
Ecological Informatics (2025), pp. 103051-103051
Open Access
Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine)
C. Liew, Song‐Quan Ong, David Ng
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease
Tiantian Bai, Mengru Xu, Taotao Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An Explainable Analytical Approach to Heart Attack Detection Using Biomarkers and Nature-Inspired Algorithms
Maithri Bairy, Krishnaraj Chadaga, Niranjana Sampathila, et al.
(2025)
Closed Access
Machine Learning Predicts Bleeding Risk in Atrial Fibrillation Patients on Direct Oral Anticoagulant
Rahul Chaudhary, Mehdi Nourelahi, Floyd Thoma, et al.
The American Journal of Cardiology (2025)
Open Access
Clinical Response Characteristics of Salivary Proteins in the Management Strategy of Diabetes-Associated Periodontitis
Shuyuan Jia, Liang Qin, Yanling Zhang, et al.
Journal of Proteome Research (2025)
Closed Access
Integrating multidimensional data analytics for precision diagnosis of chronic low back pain
Sam Vickery, Frederic Junker, Rebekka Döding, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Application of machine learning in predicting frailty syndrome in patients with heart failure
Remigiusz Szczepanowski, Izabella Uchmanowicz, Aleksandra Helena Pasieczna, et al.
Advances in Clinical and Experimental Medicine (2024) Vol. 33, Iss. 3, pp. 309-315
Open Access | Times Cited: 3
Privacy-preserving predictive modeling for early detection of chronic kidney disease
Prokash Gogoi, J. Arul Valan
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 3
Developing a Model to Predict Self-Reported Student Performance during Online Education Based on the Acoustic Environment
Virginia Puyana‐Romero, Cesar Larrea-Álvarez, Angela María Díaz-Márquez, et al.
Sustainability (2024) Vol. 16, Iss. 11, pp. 4411-4411
Open Access | Times Cited: 3
Comparative Study of sEMG Feature Evaluation Methods Based on the Hand Gesture Classification Performance
Hiba Hellara, Rim Barioul, Salwa Sahnoun, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3638-3638
Open Access | Times Cited: 3
Magnetic resonance imaging–based machine learning classification of schizophrenia spectrum disorders: a meta‐analysis
Fabio Di Camillo, David Antonio Grimaldi, Giulia Cattarinussi, et al.
Psychiatry and Clinical Neurosciences (2024)
Open Access | Times Cited: 2
IMOABC: An efficient multi-objective filter-wrapper hybrid approach for high-dimensional feature selection
Jiahao Li, Tao Luo, Baitao Zhang, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 9, pp. 102205-102205
Open Access | Times Cited: 2
A smart CardioSenseNet framework with advanced data processing models for precise heart disease detection
R. Subathra, V. Sumathy
Computers in Biology and Medicine (2024) Vol. 185, pp. 109473-109473
Closed Access | Times Cited: 2
Enhancing Coronary Artery Disease Prognosis: A Novel Dual-Class Boosted Decision Trees Strategy for Robust Optimization
Tariq Mahmood, Amjad Rehman, Tanzila Saba, et al.
IEEE Access (2024) Vol. 12, pp. 107119-107143
Open Access | Times Cited: 1
Analysis of influencing factors of traffic accidents on urban ring road based on the SVM model optimized by Bayesian method
Lei Wang, Mei Xiao, Jiliang Lv, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0310044-e0310044
Open Access | Times Cited: 1
Comparative Analysis of Random Forest and Logistic Regression for Heart Attack Risk Prediction
Nilakshman Sooriyaperakasam, Hassan Emami, Parinaz Entezam, et al.
Deleted Journal (2024) Vol. 3, Iss. 5, pp. 18-23
Closed Access | Times Cited: 1
Heart Murmur Quality Detection Using Deep Neural Networks with Attention Mechanism
Tingwei Wu, Zhaohan Huang, Shilong Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6825-6825
Open Access
Feature Selection Techniques Applied to Voice-based Prediction of Parkinson's Disease
Dhone Matthews M. Calibuyot, Emmanuel D. Ednalan, Nathaniel M. Ortega, et al.
(2024), pp. 263-267
Closed Access
Improving Cardiovascular Disease Detection: A Comparative Approach with Boosting Algorithms and Imputed Features
Shadi Ibrahim, Gifsy Madhu, Jayaprakash Kadali, et al.
(2024), pp. 1-6
Closed Access
Machine Learning - Based Bleeding Risk Predictions in Atrial Fibrillation Patients on Direct Oral Anticoagulants
Rahul Chaudhary, Mehdi Nourelahi, Floyd Thoma, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Implication of analysisof machine learning models for predicting the risk of cardiovascular disease by considering lifestyle factors and featuresselection
Padma Mishra
(2024), pp. 8286-8298
Open Access
Heart Disease Detection Model Using Support Vector Machine with Feature Selection
Ayodeji Olalekan Salau, Tsehay Admassu Assegie, Gunjan Chhabra, et al.
(2024) Vol. 8, pp. 204-207
Closed Access
Identifying Key Learning Algorithm Parameter of Forward Feature Selection to Integrate with Ensemble Learning for Customer Churn Prediction
Sabahat Tasneem, Muhammad Younas, Qasim Shafiq
VFAST Transactions on Software Engineering (2024) Vol. 12, Iss. 2, pp. 56-75
Open Access
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