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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 and machine learning: an introduction for orthopaedic surgeons
R. Kyle Martin, Christophe Ley, Ayoosh Pareek, et al.
Knee Surgery Sports Traumatology Arthroscopy (2021) Vol. 30, Iss. 2, pp. 361-364
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Machine learning and conventional statistics: making sense of the differences
Christophe Ley, R. Kyle Martin, Ayoosh Pareek, et al.
Knee Surgery Sports Traumatology Arthroscopy (2022) Vol. 30, Iss. 3, pp. 753-757
Open Access | Times Cited: 125
Artificial intelligence and ChatGPT in Orthopaedics and sports medicine
Aly M. Fayed, Nacime Salomão Barbachan Mansur, Képler Alencar Mendes de Carvalho, et al.
Journal of Experimental Orthopaedics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 49
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: 18
Artificial intelligence for image analysis in total hip and total knee arthroplasty
B Gurung, Perry Liu, Peter Harris, et al.
The Bone & Joint Journal (2022) Vol. 104-B, Iss. 8, pp. 929-937
Closed Access | Times Cited: 39
Machine learning/artificial intelligence in sports medicine: state of the art and future directions
Ayoosh Pareek, Du Hyun Ro, Jón Karlsson, et al.
Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine (2024) Vol. 9, Iss. 4, pp. 635-644
Open Access | Times Cited: 15
A practical guide to the implementation of artificial intelligence in orthopaedic research—Part 2: A technical introduction
Bálint Zsidai, Janina Kaarre, Eric Narup, et al.
Journal of Experimental Orthopaedics (2024) Vol. 11, Iss. 3
Open Access | Times Cited: 12
The development and deployment of machine learning models
James A. Pruneski, Riley J. Williams, Benedict U. Nwachukwu, et al.
Knee Surgery Sports Traumatology Arthroscopy (2022) Vol. 30, Iss. 12, pp. 3917-3923
Open Access | Times Cited: 28
A practical guide to the implementation of AI in orthopaedic research – part 1: opportunities in clinical application and overcoming existing challenges
Bálint Zsidai, Ann‐Sophie Hilkert, Janina Kaarre, et al.
Journal of Experimental Orthopaedics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 17
Evaluation of Online AI-Generated Foot and Ankle Surgery Information
Dominick J. Casciato, Sara Mateen, Steven R. Cooperman, et al.
The Journal of Foot & Ankle Surgery (2024) Vol. 63, Iss. 6, pp. 680-683
Closed Access | Times Cited: 6
The Changing Environment in Postgraduate Education in Orthopedic Surgery and Neurosurgery and Its Impact on Technology-Driven Targeted Interventional and Surgical Pain Management: Perspectives from Europe, Latin America, Asia, and The United States
Kai‐Uwe Lewandrowski, John C. Elfar, Zongming Li, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 5, pp. 852-852
Open Access | Times Cited: 16
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
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
Attitude of aspiring orthopaedic surgeons towards artificial intelligence: a multinational cross-sectional survey study
Johannes Pawelczyk, Moritz Kraus, Larissa Eckl, et al.
Archives of Orthopaedic and Trauma Surgery (2024) Vol. 144, Iss. 8, pp. 3541-3552
Open Access | Times Cited: 4
Utilization of ChatGPT vs Google Web Search in Anatomic Total Shoulder Arthroplasty and Reverse Total Shoulder Arthroplasty: From a Patient’s Perspective
Alexander K. Hahn, Gregory Connors, Martinus Megalla, et al.
Seminars in Arthroplasty JSES (2025)
Closed Access
Mapping the reporting practices in recent randomised controlled trials published in Knee Surgery, Sports Traumatology, Arthroscopy: A scoping review of methodological quality
Aleksandra Królikowska, Natalia Urban, M Lech, et al.
Journal of Experimental Orthopaedics (2025) Vol. 12, Iss. 1
Open Access
Navigating the Future: A Comprehensive Review of Technology in Shoulder Arthroplasty
J. Ryan Hill, Garrett R. Jackson, William Wing Kee To, et al.
Journal of Hand and Microsurgery (2025) Vol. 17, Iss. 3, pp. 100224-100224
Closed Access
Developing and empirically testing a sustainable knowledge model: using Alkire-Foster construction logic
Andrea Bencsik
EuroMed Journal of Business (2025) Vol. 20, Iss. 5, pp. 213-233
Closed Access
Machine learning models for predicting tibial intramedullary nail length
Sercan Çapkın, Ali İhsan Kılıç, Hakan Cici, et al.
BMC Musculoskeletal Disorders (2025) Vol. 26, Iss. 1
Open Access
The Use of Artificial Intelligence in Orthopedics: Applications and Limitations of Machine Learning in Diagnosis and Prediction
Bernardo Innocenti, Yanislav Radyul, Edoardo Bori
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10775-10775
Open Access | Times Cited: 16
Artificial intelligence in orthopedics: A qualitative exploration of the surgeon perspective
Ahmed Hassan Kamal, Ossama M. Zakaria, Rabab Abbas Majzoub, et al.
Medicine (2023) Vol. 102, Iss. 24, pp. e34071-e34071
Open Access | Times Cited: 10
Ceiling Effect of the Combined Norwegian and Danish Knee Ligament Registers Limits Anterior Cruciate Ligament Reconstruction Outcome Prediction
R. Kyle Martin, Solvejg Wastvedt, Ayoosh Pareek, et al.
The American Journal of Sports Medicine (2023) Vol. 51, Iss. 9, pp. 2324-2332
Open Access | Times Cited: 9
Predicting 30-day unplanned hospital readmission after revision total knee arthroplasty: machine learning model analysis of a national patient cohort
Tony Lin‐Wei Chen, Michelle Riyo Shimizu, Anirudh Buddhiraju, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 7, pp. 2073-2086
Closed Access | Times Cited: 3
Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis
Nikolas Wilhelm, Claudio E. von Schacky, Felix Lindner, et al.
Artificial Intelligence in Medicine (2024) Vol. 150, pp. 102843-102843
Open Access | Times Cited: 3
Time to focus on ACL revision: ESSKA 2022 consensus
Thomas Tischer, Vincenzo Condello, Jacques Ménétrey, et al.
Knee Surgery Sports Traumatology Arthroscopy (2022) Vol. 31, Iss. 11, pp. 4637-4638
Open Access | Times Cited: 14
Acceptance and understanding of artificial intelligence in medical research among orthopaedic surgeons
Michael J. Ormond, Nicholas D. Clement, Ben Harder, et al.
Bone & Joint Open (2023) Vol. 4, Iss. 9, pp. 696-703
Open Access | Times Cited: 7
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