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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:

Machine learning classification approach for asthma prediction models in children
Raphael Henshaw Ekpo, Victor Chukwudi Osamor, Ambrose Azeta, et al.
Health and Technology (2023) Vol. 13, Iss. 1, pp. 1-10
Closed Access | Times Cited: 12

Showing 12 citing articles:

Associations between digital literacy, health literacy, and digital health behaviors among rural residents: evidence from Zhejiang, China
Hao Ji, Junqiang Dong, Weiguang Pan, et al.
International Journal for Equity in Health (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 9
Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset
Omid Kohandel Gargari, Mobina Fathi, Shahryar Rajai Firouzabadi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Asthma prediction via affinity graph enhanced classifier: a machine learning approach based on routine blood biomarkers
Dejing Li, Stanley Ebhohimhen Abhadiomhen, Dongmei Zhou, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 3
How AI is advancing asthma management? Insights into economic and clinical aspects
Ahmad Z. Al Meslamani
Journal of Medical Economics (2023) Vol. 26, Iss. 1, pp. 1489-1494
Open Access | Times Cited: 6
Integrating routine blood biomarkers and artificial intelligence for supporting diagnosis of silicosis in engineered stone workers
Daniel Morillo, Antonio León‐Jiménez, María Guerrero‐Chanivet, et al.
Bioengineering & Translational Medicine (2024) Vol. 9, Iss. 6
Open Access | Times Cited: 1
Federated Learning-Based Asthma Prediction Model in Children
Ekpo Raphael Henshaw, Victor Chukwudi Osamor, Ambrose Azeta
(2024), pp. 1-6
Closed Access | Times Cited: 1
Early Prediction of Asthma
Sergio de Jesús Romero-Tapia, José Raúl Becerril-Negrete, José A. Castro-Rodrı́guez, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 16, pp. 5404-5404
Open Access | Times Cited: 3
Cohort multiple Randomized Controlled trial in pediatric asthma to assess the long- and short-term effects of eHealth interventions: protocol of the CIRCUS study
Tamara Ruuls, Romi Sprengers, Vera S. Hengeveld, et al.
Research Square (Research Square) (2024)
Open Access
Integrating Machine Learning Algorithms and Advanced Computing Technology Using an Ensemble Hybrid Classifier
Roopashri Shetty, M. Geetha, G. Shyamala, et al.
Journal of Machine and Computing (2024), pp. 722-735
Closed Access
A New Hybrid Classification Framework in Childhoods Allergies with Dataset Slicing Method
Pınar Karadayı Ataş
Düzce Üniversitesi Bilim ve Teknoloji Dergisi (2024)
Open Access
Designing a Model for Predicting Asthma in Adolescent Using Map Reduce and Federated Learning
Raphael Henshaw Ekpo, Victor Chukwudi Osamor, Ambrose Azeta, et al.
(2024), pp. 1-8
Closed Access
Enhancing Asthma Diagnosis Through Machine Learning: A Stacking Ensemble Approach
Mahesh Goel, Manya Gupta, C. Jothikumar, et al.
(2024), pp. 1-6
Closed Access
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