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:

Prediction model of pressure injury occurrence in diabetic patients during ICU hospitalization——XGBoost machine learning model can be interpreted based on SHAP
Jie Xu, Tie Chen, Xixi Fang, et al.
Intensive and Critical Care Nursing (2024) Vol. 83, pp. 103715-103715
Closed Access | Times Cited: 8

Showing 8 citing articles:

Risk prediction of functional disability among middle-aged and older adults with arthritis: a nationwide cross-sectional study using interpretable machine learning
Qinglu Li, Wenting Shi, Nan Wang, et al.
International Journal of Orthopaedic and Trauma Nursing (2025) Vol. 56, pp. 101161-101161
Closed Access | Times Cited: 1

Prediction of moderate to severe bleeding risk in pediatric immune thrombocytopenia using machine learning
Xuelan Shen, Xiaoli Guo, Yang Liu, et al.
European Journal of Pediatrics (2025) Vol. 184, Iss. 5
Closed Access

Electronic-Medical-Record-Driven Machine Learning Predictive Model for Hospital-Acquired Pressure Injuries: Development and External Validation
Kim-Anh-Nhi Nguyen, Dhavalkumar D. Patel, Masoud Edalati, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 4, pp. 1175-1175
Open Access

Application of explainable machine learning in the production of pullulan by Aureobasidium pullulans CGMCCNO.7055
Shiwei Chen, Wenmin Li, Xiaowen Zhao, et al.
International Journal of Biological Macromolecules (2025), pp. 142374-142374
Closed Access

Enhancing Diabetes Prediction and Prevention through Mahalanobis Distance and Machine Learning Integration
Khongorzul Dashdondov, Suehyun Lee, Munkh‐Uchral Erdenebat
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7480-7480
Open Access | Times Cited: 3

Nurse knowledge, attitudes, and barriers to pressure injuries: A cross-sectional study in an Australian metropolitan teaching hospital
Linda L. Coventry, Amanda Towell‐Barnard, Joelle Winderbaum, et al.
Journal of Tissue Viability (2024)
Closed Access | Times Cited: 2

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