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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:

Predicting readmission after bariatric surgery using machine learning
Logan Butler, Kevin A. Chen, Justin Hsu, et al.
Surgery for Obesity and Related Diseases (2023) Vol. 19, Iss. 11, pp. 1236-1244
Closed Access | Times Cited: 10

Showing 10 citing articles:

Predicting pregnancy at the first year following metabolic-bariatric surgery: development and validation of machine learning models
Raheleh Moradi, Maryam Kashanian, Fahime Yarigholi, et al.
Surgical Endoscopy (2025)
Closed Access
International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery
Mohammad Kermansaravi, Sonja Chiappetta, Shahab Shahabi Shahmiri, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Artificial Intelligence and Sleeve Gastrectomy
Yung Lee, Jigish Khamar
(2025), pp. 1-10
Closed Access
The Role of Artificial Intelligence in the Prediction of Bariatric Surgery Complications: A Systematic Review
Maryam Mukhtar, Ahmed Umballi Babiker Ahmed, Mohammed A. Mohammed, et al.
Cureus (2025)
Open Access
Advanced Non-linear Modeling and Explainable Artificial Intelligence Techniques for Predicting 30-Day Complications in Bariatric Surgery: A Single-Center Study
Nicolas Zucchini, Eugenia Capozzella, Mauro Giuffrè, et al.
Obesity Surgery (2024)
Closed Access | Times Cited: 2
Performance Evaluation of Artificial Intelligence Methods Predicting Annual Number of Patients in Hospitals
Young‐Taek Park, Seon Min Lee, Yul Hee Lee, et al.
Health Insurance Review & Assessment Service Research (2024) Vol. 4, Iss. 1, pp. 73-86
Open Access | Times Cited: 1
Comparison of machine learning models to predict complications of bariatric surgery: A systematic review
Raoof Nopour
Health Informatics Journal (2024) Vol. 30, Iss. 3
Open Access | Times Cited: 1
Expanding the horizons of surgical research: let us move towards P4 surgery
Marco Alifano, Pierre‐Emmanuel Falcoz, Antonio Iannelli
European Journal of Cardio-Thoracic Surgery (2024) Vol. 66, Iss. 5
Closed Access | Times Cited: 1
Machine learning analysis of lab tests to predict bariatric readmissions
Mingchuang Zhang, Rui Chen, Yidi Yang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Comment on: Predicting readmission after bariatric surgery using machine learning
Ann M. Rogers
Surgery for Obesity and Related Diseases (2023) Vol. 19, Iss. 11, pp. 1244-1245
Closed Access
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