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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:

Artificial Intelligence for the Orthopaedic Surgeon: An Overview of Potential Benefits, Limitations, and Clinical Applications
Eric C. Makhni, Sonya Makhni, Prem N. Ramkumar
Journal of the American Academy of Orthopaedic Surgeons (2020)
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
Sidra Nasir, Rizwan Ahmed Khan, Samita Bai
IEEE Access (2024) Vol. 12, pp. 31014-31035
Open Access | Times Cited: 32
Evaluating capabilities of large language models: Performance of GPT-4 on surgical knowledge assessments
Brendin R. Beaulieu‐Jones, Margaret T. Berrigan, Sahaj S. Shah, et al.
Surgery (2024) Vol. 175, Iss. 4, pp. 936-942
Open Access | Times Cited: 25
The Role of Artificial Intelligence in Anterior Cruciate Ligament Injuries: Current Concepts and Future Perspectives
Luca Andriollo, Aurelio Picchi, Rudy Sangaletti, et al.
Healthcare (2024) Vol. 12, Iss. 3, pp. 300-300
Open Access | Times Cited: 17
Machine Learning Algorithms Predict Achievement of Clinically Significant Outcomes After Orthopaedic Surgery: A Systematic Review
Kyle N. Kunze, Laura M. Krivicich, Ian M. Clapp, et al.
Arthroscopy The Journal of Arthroscopic and Related Surgery (2021) Vol. 38, Iss. 6, pp. 2090-2105
Closed Access | Times Cited: 42
Evaluating Capabilities of Large Language Models: Performance of GPT4 on Surgical Knowledge Assessments
Brendin R. Beaulieu‐Jones, Sahaj S. Shah, Margaret T. Berrigan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 21
Artificial intelligence-based applications in shoulder surgery leaves much to be desired: a systematic review
Puneet Gupta, Heather S. Haeberle, Zachary R. Zimmer, et al.
JSES Reviews Reports and Techniques (2023) Vol. 3, Iss. 2, pp. 189-200
Open Access | Times Cited: 20
A Scientometric Worldview of Artificial Intelligence in Musculoskeletal Diseases Since the 21st Century
Siyang Cao, Yihao Wei, Yaohang Yue, et al.
Journal of Multidisciplinary Healthcare (2024) Vol. Volume 17, pp. 3193-3211
Open Access | Times Cited: 6
Association Between Preoperative Patient Factors and Clinically Meaningful Outcomes After Hip Arthroscopy for Femoroacetabular Impingement Syndrome: A Machine Learning Analysis
Kyle N. Kunze, Evan M. Polce, Ian M. Clapp, et al.
The American Journal of Sports Medicine (2022) Vol. 50, Iss. 3, pp. 746-756
Closed Access | Times Cited: 27
Machine Learning for the Orthopaedic Surgeon
Daniel Alsoof, Christopher L. McDonald, Eren O. Kuris, et al.
Journal of Bone and Joint Surgery (2022) Vol. 104, Iss. 17, pp. 1586-1594
Closed Access | Times Cited: 27
Meaningless Applications and Misguided Methodologies in Artificial Intelligence–Related Orthopaedic Research Propagates Hype Over Hope
Prem N. Ramkumar, Michael Pang, Teja S. Polisetty, et al.
Arthroscopy The Journal of Arthroscopic and Related Surgery (2022) Vol. 38, Iss. 9, pp. 2761-2766
Closed Access | Times Cited: 26
Artificial Intelligence for Automated Implant Identification in Total Hip Arthroplasty: A Multicenter External Validation Study Exceeding Two Million Plain Radiographs
Jaret M. Karnuta, Michael P. Murphy, Bryan C. Luu, et al.
The Journal of Arthroplasty (2022) Vol. 38, Iss. 10, pp. 1998-2003.e1
Closed Access | Times Cited: 25
Industry 5.0 in Orthopaedics
Madhan Jeyaraman, Arulkumar Nallakumarasamy, Naveen Jeyaraman
Indian Journal of Orthopaedics (2022) Vol. 56, Iss. 10, pp. 1694-1702
Open Access | Times Cited: 24
Artifical intelligence use in orthopedics: an ethical point of view
Elcil Kaya Biçer, Heiner Fangerau, Hakkı Sur
EFORT Open Reviews (2023) Vol. 8, Iss. 8, pp. 592-596
Open Access | Times Cited: 15
The Use of Artificial Intelligence for the Prediction of Periprosthetic Joint Infection Following Aseptic Revision Total Knee Arthroplasty
Christian Klemt, Ingwon Yeo, Mike Harvey, et al.
The Journal of Knee Surgery (2023) Vol. 37, Iss. 02, pp. 158-166
Closed Access | Times Cited: 14
Validation of Machine Learning Model Performance in Predicting Blood Transfusion After Primary and Revision Total Hip Arthroplasty
Anirudh Buddhiraju, Michelle Riyo Shimizu, Murad Abdullah Subih, et al.
The Journal of Arthroplasty (2023) Vol. 38, Iss. 10, pp. 1959-1966
Closed Access | Times Cited: 13
Efficacy and Applications of Artificial Intelligence and Machine Learning Analyses in Total Joint Arthroplasty
Evan M. Polce, Kyle N. Kunze, Matthew S. Dooley, et al.
Journal of Bone and Joint Surgery (2022) Vol. 104, Iss. 9, pp. 821-832
Closed Access | Times Cited: 22
Advancements in Artificial Intelligence for Foot and Ankle Surgery: A Systematic Review
Puneet Gupta, Kiera A. Kingston, Martin O’Malley, et al.
Foot & Ankle Orthopaedics (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 11
Comparitive performance of artificial intelligence-based large language models on the orthopedic in-training examination
Andrew Xu, Manjot Singh, Mariah Balmaceno-Criss, et al.
Journal of orthopaedic surgery (2025) Vol. 33, Iss. 1
Open Access
Parametric topology optimization approach for sustainable development of customized orthotic appliances using additive manufacturing
Ashwani Kumar, Deepak Chhabra
Mechanics of Advanced Materials and Structures (2023) Vol. 31, Iss. 21, pp. 5276-5289
Closed Access | Times Cited: 10
Leveraging Artificial Intelligence and Machine Learning in Regenerative Orthopedics: A Paradigm Shift in Patient Care
Madhan Jeyaraman, Harish V. K. Ratna, Naveen Jeyaraman, et al.
Cureus (2023)
Open Access | Times Cited: 10
Enhancing wrist arthroscopy: artificial intelligence applications for bone structure recognition using machine learning
Antoni Orgiu, Bihes Karkazan, Stuart Cannell, et al.
Hand surgery & rehabilitation (2024) Vol. 43, Iss. 4, pp. 101717-101717
Closed Access | Times Cited: 3
Augmented Reality in Orthopedic Surgery and Its Application in Total Joint Arthroplasty: A Systematic Review
Stefano Marco Paolo Rossi, Fabio Mancino, Rudy Sangaletti, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5278-5278
Open Access | Times Cited: 14
Artificial Intelligence for Automated Implant Identification in Knee Arthroplasty: A Multicenter External Validation Study Exceeding 3.5 Million Plain Radiographs
Jaret M. Karnuta, Hashim J.F. Shaikh, Michael P. Murphy, et al.
The Journal of Arthroplasty (2023) Vol. 38, Iss. 10, pp. 2004-2008
Closed Access | Times Cited: 8
Patients’ Views on AI for Risk Prediction in Shared Decision-Making for Knee Replacement Surgery: Qualitative Interview Study
Daniel Gould, Michelle M. Dowsey, Marion Glanville-Hearst, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e43632-e43632
Open Access | Times Cited: 8
Equity Challenges for Artificial Intelligence Algorithms in Health Care
Sonya Makhni, Marshall H. Chin, John Fahrenbach, et al.
CHEST Journal (2022) Vol. 161, Iss. 5, pp. 1343-1346
Open Access | Times Cited: 13
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