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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:

Internal and External Validation of the Generalizability of Machine Learning Algorithms in Predicting Non-home Discharge Disposition Following Primary Total Knee Joint Arthroplasty
Tony Lin‐Wei Chen, Anirudh Buddhiraju, Henry Hojoon Seo, et al.
The Journal of Arthroplasty (2023) Vol. 38, Iss. 10, pp. 1973-1981
Closed Access | Times Cited: 16

Showing 16 citing articles:

Nomogram for Predicting Early AVF Failure in Elderly Diabetic Patients: Methodological and Clinical Considerations [Letter]
Shicheng Liu, Kun Tian, Yuting Zhang
Diabetes Metabolic Syndrome and Obesity (2025) Vol. Volume 18, pp. 677-678
Open Access | Times Cited: 1
Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model
Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin‐Wei Chen, et al.
Knee Surgery and Related Research (2025) Vol. 37, Iss. 1
Open Access
Developing a decision support tool to predict delayed discharge from hospitals using machine learning
Mahsa Pahlevani, Enayat Rajabi, Majid Taghavi, et al.
BMC Health Services Research (2025) Vol. 25, Iss. 1
Open 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
Machine learning models based on a national-scale cohort accurately identify patients at high risk of deep vein thrombosis following primary total hip arthroplasty
Ziwei Huang, Anirudh Buddhiraju, Tony Lin‐Wei Chen, et al.
Orthopaedics & Traumatology Surgery & Research (2025), pp. 104238-104238
Closed Access
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
Prediction of 30-Day Mortality Following Revision Total Hip and Knee Arthroplasty: Machine Learning Algorithms Outperform CARDE-B, 5-Item, and 6-Item Modified Frailty Index Risk Scores
Christian A. Péan, Anirudh Buddhiraju, Michelle R Shimizu, et al.
The Journal of Arthroplasty (2024) Vol. 39, Iss. 11, pp. 2824-2830
Closed Access | Times Cited: 1
A systematic literature review of predicting patient discharges using statistical methods and machine learning
Mahsa Pahlevani, Majid Taghavi, Peter T. Vanberkel
Health Care Management Science (2024) Vol. 27, Iss. 3, pp. 458-478
Open Access | Times Cited: 1
Deep Learning: Orthopaedic Research Evolves for the Future
Michael J. Taunton, Steve S. Liu, Michael A. Mont
The Journal of Arthroplasty (2023) Vol. 38, Iss. 10, pp. 1919-1920
Closed Access | Times Cited: 2
Enhancing Clinical Decision-Making: An Externally Validated Machine Learning Model for Predicting IDH Mutation in Gliomas using Radiomics from Pre-Surgical MRI
Jan Lost, Nader Ashraf, Leon Jekel, et al.
Neuro-Oncology Advances (2024) Vol. 6, Iss. 1
Open Access
Utilizing AI to Improve Orthopedic Care

(2024), pp. 105-131
Closed Access
The Investigation of Preoperative Factors Associated With Postoperative Outcomes Following Total Knee Arthroplasty for Osteoarthritis: A Scoping Review
Takafumi Nasu, Junya Yamanoi, Takashi Kitagawa
Cureus (2024)
Open Access
Predicting extended hospital stay following revision total hip arthroplasty: a machine learning model analysis based on the ACS-NSQIP database
Tony Lin‐Wei Chen, Mohammadamin Rezazadehsaatlou, Anirudh Buddhiraju, et al.
Archives of Orthopaedic and Trauma Surgery (2024)
Closed Access
Racial and Ethnic Disparities in Predictive Accuracy of Machine Learning Algorithms Developed Using a National Database for 30-Day Complications Following Total Joint Arthroplasty
Christian A. Péan, Anirudh Buddhiraju, Tony Lin‐Wei Chen, et al.
The Journal of Arthroplasty (2024)
Closed Access
Predicting 30-day reoperation following primary total knee arthroplasty: machine learning model outperforms the ACS risk calculator
Tony Lin‐Wei Chen, Anirudh Buddhiraju, Blake M. Bacevich, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access
What’s New in Adult Reconstructive Knee Surgery
Jesus M. Villa, Shayan Hosseinzadeh, Carlos A. Higuera
Journal of Bone and Joint Surgery (2023) Vol. 106, Iss. 2, pp. 93-101
Open Access
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