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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 and Surgical Outcomes Prediction: A Systematic Review
Omar Elfanagely, Yoshiko Toyoda, Sammy Othman, et al.
Journal of Surgical Research (2021) Vol. 264, pp. 346-361
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Machine learning in vascular surgery: a systematic review and critical appraisal
Ben Li, Tiam Feridooni, César Cuen-Ojeda, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 84
The Impact of Artificial Intelligence and Machine Learning in Organ Retrieval and Transplantation: A Comprehensive Review
David B. Olawade, Sheila Marinze, Nabeel Qureshi, et al.
Current Research in Translational Medicine (2025) Vol. 73, Iss. 2, pp. 103493-103493
Open Access | Times Cited: 4
Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair
Ben Li, Naomi Eisenberg, Derek Beaton, et al.
Journal of the American Heart Association (2025) Vol. 14, Iss. 5
Closed Access | Times Cited: 2
Artificial intelligence, machine learning, and deep learning for clinical outcome prediction
Rowland W. Pettit, Robert Fullem, Chao Cheng, et al.
Emerging Topics in Life Sciences (2021) Vol. 5, Iss. 6, pp. 729-745
Open Access | Times Cited: 59
Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future
Jonathan A. Tangsrivimol, Ethan Schonfeld, Michael Zhang, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2429-2429
Open Access | Times Cited: 39
Evaluating surgical outcomes: robotic-assisted vs. conventional total knee arthroplasty
Jiarong Guo, Zhe Jin, Maosheng Xia
Journal of Orthopaedic Surgery and Research (2025) Vol. 20, Iss. 1
Open Access | Times Cited: 1
A machine learning algorithm for peripheral artery disease prognosis using biomarker data
Ben Li, Farah Shaikh, Abdelrahman Zamzam, et al.
iScience (2024) Vol. 27, Iss. 3, pp. 109081-109081
Open Access | Times Cited: 8
Using machine learning to predict outcomes following carotid endarterectomy
Ben Li, Derek Beaton, Naomi Eisenberg, et al.
Journal of Vascular Surgery (2023) Vol. 78, Iss. 4, pp. 973-987.e6
Open Access | Times Cited: 15
Algorithmic bias and research integrity; the role of nonhuman authors in shaping scientific knowledge with respect to artificial intelligence: a perspective
Malik Olatunde Oduoye, Binish Javed, Nikhil Gupta, et al.
International Journal of Surgery (2023)
Open Access | Times Cited: 14
Decision Curve Analysis of In-Hospital Mortality Prediction Models: The Relative Value of Pre- and Intraoperative Data For Decision-Making
Markus Huber, Corina Bello, Patrick Schober, et al.
Anesthesia & Analgesia (2024) Vol. 139, Iss. 3, pp. 617-28
Closed Access | Times Cited: 5
Development and evaluation of a prediction model for peripheral artery disease-related major adverse limb events using novel biomarker data
Ben Li, Rakan Nassereldine, Abdelrahman Zamzam, et al.
Journal of Vascular Surgery (2024) Vol. 80, Iss. 2, pp. 490-497.e1
Closed Access | Times Cited: 5
Predicting Outcomes Following Lower Extremity Endovascular Revascularization Using Machine Learning
Ben Li, Badr Aljabri, Raj Verma, et al.
Journal of the American Heart Association (2024) Vol. 13, Iss. 9
Open Access | Times Cited: 5
The Identification and Evaluation of Interleukin-7 as a Myokine Biomarker for Peripheral Artery Disease Prognosis
Ben Li, Farah Shaikh, Abdelrahman Zamzam, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 12, pp. 3583-3583
Open Access | Times Cited: 5
Cardiac surgery risk prediction using ensemble machine learning to incorporate legacy risk scores: A benchmarking study
Tim Dong, Shubhra Sinha, Ben Zhai, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 12
Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning
Ben Li, Raj Verma, Derek Beaton, et al.
Journal of the American Heart Association (2023) Vol. 12, Iss. 20
Open Access | Times Cited: 12
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
Prediction of postoperative complications after oesophagectomy using machine-learning methods
Jin‐On Jung, Juan I. Pisula, Kasia Bozek, et al.
British journal of surgery (2023) Vol. 110, Iss. 10, pp. 1361-1366
Closed Access | Times Cited: 11
ChatGPT in surgery: a revolutionary innovation?
Mustafa Bektaş, Jaime Ken Pereira, Freek Daams, et al.
Surgery Today (2024) Vol. 54, Iss. 8, pp. 964-971
Open Access | Times Cited: 4
Machine learning improves prediction of postoperative outcomes after gastrointestinal surgery: a systematic review and meta-analysis
Jane Wang, Francesca Tozzi, Amir Ashraf‐Ganjouei, et al.
Journal of Gastrointestinal Surgery (2024) Vol. 28, Iss. 6, pp. 956-965
Closed Access | Times Cited: 4
Can Machine Learning Correctly Predict Outcomes of Flexible Ureteroscopy with Laser Lithotripsy for Kidney Stone Disease? Results from a Large Endourology University Centre
Carlotta Nedbal, Sairam Adithya, Nithesh Naik, et al.
European Urology Open Science (2024) Vol. 64, pp. 30-37
Open Access | Times Cited: 4
Predicting Length of Stay using machine learning for total joint replacements performed at a rural community hospital
Srinivasan Sridhar, Bradley M. Whitaker, Amy Mouat-Hunter, et al.
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0277479-e0277479
Open Access | Times Cited: 18
Conventional regression analysis and machine learning in prediction of anastomotic leakage and pulmonary complications after esophagogastric cancer surgery
Robert T. van Kooten, Renu R. Bahadoer, Bouwdewijn ter Buurkes de Vries, et al.
Journal of Surgical Oncology (2022) Vol. 126, Iss. 3, pp. 490-501
Open Access | Times Cited: 17
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data
Wei-Chun Lin, Aiyin Chen, Xubo Song, et al.
Journal of the American Medical Informatics Association (2023) Vol. 31, Iss. 2, pp. 456-464
Open Access | Times Cited: 11
Using machine learning to predict outcomes following open abdominal aortic aneurysm repair
Ben Li, Badr Aljabri, Raj Verma, et al.
Journal of Vascular Surgery (2023) Vol. 78, Iss. 6, pp. 1426-1438.e6
Closed Access | Times Cited: 10
Using machine learning to predict outcomes following transcarotid artery revascularization
Ben Li, Naomi Eisenberg, Derek Beaton, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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