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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:

Using Machine Learning (XGBoost) to Predict Outcomes following Infrainguinal Bypass for Peripheral Artery Disease
Ben Li, Naomi Eisenberg, Derek Beaton, et al.
Annals of Surgery (2023)
Closed Access | Times Cited: 12

Showing 12 citing articles:

Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A Comprehensive Review of the Past 5 Years
Elena Stamate, Alin Ionut Piraianu, Oana Roxana Ciobotaru, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1103-1103
Open Access | Times Cited: 11
Machine learning-based prognostic modeling and surgical value analysis of de novo metastatic invasive ductal carcinoma of the breast
Changlong Wei, Honghui Li, Jingsong Li, et al.
Updates in Surgery (2025)
Closed Access
Establishment and validation of a prognostic risk early-warning model for retinoblastoma based on XGBoost
Feng Wang, Jian Wang
American Journal of Cancer Research (2025) Vol. 15, Iss. 1, pp. 99-112
Closed Access
Comparative performance of clinician and computational approaches in forecasting adverse outcomes in intermittent claudication
Bharadhwaj Ravindhran, Arthur Lim, Sean Pymer, et al.
Annals of Vascular Surgery (2025)
Closed Access
Predicting inferior vena cava filter complications using machine learning
Ben Li, Naomi Eisenberg, Derek Beaton, et al.
Journal of Vascular Surgery Venous and Lymphatic Disorders (2024) Vol. 12, Iss. 6, pp. 101943-101943
Open Access | Times Cited: 2
Comprehensive review of virtual assistants in vascular surgery
Ben Li, Derek Beaton, Douglas S. Lee, et al.
Seminars in Vascular Surgery (2024) Vol. 37, Iss. 3, pp. 342-349
Open Access | Times Cited: 1
Efficacy of the two-parts wrapping technique in reducing postoperative complications in laparoscopic pancreaticoduodenectomy
Long Huang, Binhua Jiang, Jianlin Lai, et al.
Surgical Endoscopy (2024) Vol. 38, Iss. 8, pp. 4731-4744
Closed Access | Times Cited: 1
Propensity score matched analysis and risk stratification of donors with G6PD deficiency in living donor liver transplantation
Pradeep Krishna, Ashwin Rammohan, Rajesh Rajalingam, et al.
Hepatology International (2023) Vol. 18, Iss. 1, pp. 265-272
Closed Access | Times Cited: 1
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
Advancing Breast Cancer Prediction Using Logistic Regression and Machine Learning Techniques
Ruchika Bhuria, Kanwarpartap Singh Gill, Sonal Malhotra, et al.
(2024), pp. 1374-1377
Closed Access
Evaluating Machine Learning Techniques for Accurate Heart Disease Diagnosis and Risk Assessment
Ruchika Bhuria
(2024), pp. 1676-1680
Closed Access
Machine Learning in Vascular Medicine: Optimizing Clinical Strategies for Peripheral Artery Disease
Sean Perez, Sneha Thandra, Ines Mellah, et al.
Current Cardiovascular Risk Reports (2024) Vol. 18, Iss. 12, pp. 187-195
Open Access
XGBoost-based nomogram for predicting lymph node metastasis in endometrial carcinoma
Xiaoting Lin, Fumin Gao, Haijiao Lin, et al.
American Journal of Cancer Research (2024) Vol. 14, Iss. 12, pp. 5769-5783
Closed Access
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