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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:

The utility of machine learning algorithms for the prediction of patient-reported outcome measures following primary hip and knee total joint arthroplasty
Christian Klemt, Akachimere Uzosike, John G. Esposito, et al.
Archives of Orthopaedic and Trauma Surgery (2022) Vol. 143, Iss. 4, pp. 2235-2245
Closed Access | Times Cited: 19

Showing 19 citing articles:

Using artificial intelligence to predict patient outcomes from patient-reported outcome measures: a scoping review
Zuzanna Wójcik, Vania Dimitrova, Lorraine Warrington, et al.
Health and Quality of Life Outcomes (2025) Vol. 23, Iss. 1
Open Access
Patient-Reported Outcome Measures: State of the Art in Patient-Reported Outcome Measure Application in Lower Extremity Orthopaedics
Ignacio Pasqualini, Nicolás S. Piuzzi
Journal of the American Academy of Orthopaedic Surgeons (2023)
Closed Access | Times Cited: 12
Enabling Personalized Medicine in Orthopaedic Surgery Through Artificial Intelligence
Nickelas Huffman, Ignacio Pasqualini, Shujaa T. Khan, et al.
JBJS Reviews (2024) Vol. 12, Iss. 3
Closed Access | Times Cited: 4
Readmission Risk Prediction after Total Hip Arthroplasty Using Machine Learning and Hyperparameters Optimized with Bayesian Optimization
Intan Yuniar Purbasari, Athanasius Priharyoto Bayuseno, R. Rizal Isnanto, et al.
(2025)
Closed Access
Artificial intelligence and machine learning in knee arthroplasty
Hugo C. Rodriguez, Brandon Rust, Martin W. Roche, et al.
The Knee (2025) Vol. 54, pp. 28-49
Closed Access
Artificial intelligence in orthopaedics
Nicholas D. Clement, Hamish Simpson
Bone and Joint Research (2023) Vol. 12, Iss. 8, pp. 494-496
Open Access | Times Cited: 8
A role for artificial intelligence applications inside and outside of the operating theatre: a review of contemporary use associated with total knee arthroplasty
Andrew P. Kurmis
Arthroplasty (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 7
Predicting Functional Outcomes of Total Hip Arthroplasty Using Machine Learning: A Systematic Review
Nicholas D. Clement, Rosie Clement, Abigail Clement
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 603-603
Open Access | Times Cited: 2
Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor
Jeremy A. Balch, Angus Hayes Chatham, Hong Peng, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2
Journal of the American Academy of Orthopaedic Surgeons Patient-Reported Outcome Measurements (PROMs) Special Issue: The Value of PROMs in Orthopaedic Surgery
Prakash Jayakumar, Kevin J. Bozic
Journal of the American Academy of Orthopaedic Surgeons (2023)
Closed Access | Times Cited: 6
On the Horizon: Specific Applications of Automation and Artificial Intelligence in Anesthesiology
Sherwin C. Davoud, Vesela Kovacheva
Current anesthesiology reports (2023) Vol. 13, Iss. 2, pp. 31-40
Open Access | Times Cited: 5
Optimal inputs for machine learning models in predicting total joint arthroplasty outcomes: a systematic review
Parshva A. Sanghvi, Aakash K. Shah, Christian J. Hecht, et al.
European Journal of Orthopaedic Surgery & Traumatology (2024)
Closed Access | Times Cited: 1
Machine Learning Model Identifies Patient Gait Speed throughout the Episode of Care, Generating Notifications for Clinician Evaluation
K. Surmacz, Roberta E. Redfern, David C. Van Andel, et al.
Gait & Posture (2024) Vol. 114, pp. 62-68
Open Access | Times Cited: 1
Pearls and pitfalls of PROMIS clinically significant outcomes in orthopaedic surgery
Ron Gilat, Ilan Y. Mitchnik, Sumit Patel, et al.
Archives of Orthopaedic and Trauma Surgery (2023) Vol. 143, Iss. 11, pp. 6617-6629
Closed Access | Times Cited: 2
The Joint Awareness Score: A Shortened, Simplified, Improved Alternative to the Forgotten Joint Score
Matt Porter, Michael Johnston, Clark Kogan, et al.
Arthroplasty Today (2023) Vol. 24, pp. 101239-101239
Open Access | Times Cited: 2
Reliability and Validity of Patient-Reported Outcome Measures in Assessing Knee Osteoarthritis in the Chinese Population: A Systematic Review
Jiayi Ren, Hongyuan Lu, Hang Gao, et al.
Heliyon (2024) Vol. 10, Iss. 18, pp. e36645-e36645
Open Access
Predicting prolonged length of stay following revision total knee arthroplasty: A national database analysis using machine learning models
Ashish Mittal, Anirudh Buddhiraju, Murad Abdullah Subih, et al.
International Journal of Medical Informatics (2024) Vol. 192, pp. 105634-105634
Closed Access
Surgical outcomes and patient-centred perioperative programs
Elena Bignami, Serena Celoria, Valentina Bellini
Journal of Clinical Monitoring and Computing (2023) Vol. 37, Iss. 6, pp. 1641-1643
Closed Access | Times Cited: 1
Application of Machine Learning Algorithms for Prognostic Assessment in Rotator Cuff Pathologies: A Clinical Data-Based Approach
Umile Giuseppe Longo, Calogero Di Naro, Simona Campisi, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2915-2915
Open Access
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