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 predictors of in-hospital mortality in patients with acute ST-segment elevation myocardial infarction using an evolved machine learning approach
Mengge Gong, Dongjie Liang, Diyun Xu, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 107950-107950
Closed Access | Times Cited: 8

Showing 8 citing articles:

An Overview on the Advancements of Support Vector Machine Models in Healthcare Applications: A Review
Rosita Guido, Stefania Ferrisi, Danilo Lofaro, et al.
Information (2024) Vol. 15, Iss. 4, pp. 235-235
Open Access | Times Cited: 33

A machine learning based death risk analysis and prediction of ST-segment elevation myocardial infarction (STEMI) patients
Abdulkerim Öztekin, Berk Özyılmaz
Computers in Biology and Medicine (2025) Vol. 188, pp. 109839-109839
Closed Access

Predictive value of machine learning for in-hospital mortality risk in acute myocardial infarction: A systematic review and meta-analysis
Yuan Zhang, Huan Liu, Qingxia Huang, et al.
International Journal of Medical Informatics (2025) Vol. 198, pp. 105875-105875
Closed Access

Fair and explainable Myocardial Infarction (MI) prediction: Novel strategies for feature selection and class imbalance correction
Simon Bin Akter, Sumya Akter, Moon Das Tuli, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109413-109413
Closed Access | Times Cited: 2

Prediction of Hospital Mortality in Patients with ST Segment Elevation Myocardial Infarction: Evolution of Risk Measurement Techniques and Assessment of Their Effectiveness (Review)
B. I. Geltser, I. G. Domzhalov, K. I. Shakhgeldyan, et al.
Sovremennye tehnologii v medicine (2024) Vol. 16, Iss. 4, pp. 61-61
Open Access | Times Cited: 1

GAMe-BiLSTM: a novel modified metaheuristic deep learning technique for non-ST-segment elevation myocardial infarction classification
Sachin Sambhaji Patil, Tanajirao Bapuso Mohite-Patil, Murali Kalipindi, et al.
International Journal of Information Technology (2024)
Closed Access

Miyokard Enfarktüsü Hastalarının Tespitinde Doğrusal Olmayan Özniteliklerin Performans Analizi
Ali Narin, M F Keser
Afyon Kocatepe University Journal of Sciences and Engineering (2024) Vol. 24, Iss. 6, pp. 1499-1505
Open Access

Vascular medicine in the 21st century: Embracing comprehensive vasculature evaluation and multidisciplinary treatment
Yoram Chaiter, Daniel Fink, Yossy Machluf
World Journal of Clinical Cases (2024) Vol. 12, Iss. 27, pp. 6032-6044
Open Access

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