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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 in Predicting Tooth Loss: A Systematic Review and Risk of Bias Assessment
Akira Hasuike, Taito Watanabe, Shin Wakuda, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 10, pp. 1682-1682
Open Access | Times Cited: 8

Showing 8 citing articles:

Applied artificial intelligence in dentistry: emerging data modalities and modeling approaches
Balázs Fehér, Camila Tussie, William V. Giannobile
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 8
Systematic Review of Prognosis Models in Predicting Tooth Loss in Periodontitis
Dian Yi Chow, John Rong Hao Tay, Gustavo G. Nascimento
Journal of Dental Research (2024) Vol. 103, Iss. 6, pp. 596-604
Closed Access | Times Cited: 4
A proposed tree-based explainable artificial intelligence approach for the prediction of angina pectoris
Emek Güldoğan, Fatma Hilal Yağın, Abdulvahap Pınar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Identifying predictors of tooth loss using a rule‐based machine learning approach: A retrospective study at university‐setting clinics
Chun‐Teh Lee, Kai Zhang, Wen Li, et al.
Journal of Periodontology (2023) Vol. 94, Iss. 10, pp. 1231-1242
Closed Access | Times Cited: 5
Machine Learning Using Presentation CT Perfusion Imaging for Predicting Clinical Outcomes in Patients With Aneurysmal Subarachnoid Hemorrhage
Pengzhan Yin, Jiaqi Wang, Chao Zhang, et al.
American Journal of Roentgenology (2023) Vol. 221, Iss. 6, pp. 817-835
Closed Access | Times Cited: 5
A Multi-Method Machine Learning Framework for Simulating Power Dynamics in an Iron Ore Cone Crusher Plant
Roohollah Salehzadeh Gharaei, Alireza Gholami, Hamid Khoshdast, et al.
Mineral Processing and Extractive Metallurgy Review (2024), pp. 1-16
Closed Access | Times Cited: 1
Development and validation of intraoral periapical radiography-based machine learning model for periodontal defect diagnosis
Fatma Karacaoğlu, Mehmet Eray Kolsuz, Nilsun Bağış, et al.
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2023) Vol. 237, Iss. 5, pp. 607-618
Closed Access | Times Cited: 4
Letter to the Editor: “Lower mean phosphate independently predicts mortality in critically ill patients: Results from a prospective cohort study”
Weiwei Li, Jing Wang
Journal of Critical Care (2023) Vol. 76, pp. 154310-154310
Closed Access
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