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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 enables reliable and standardized measurements of implant alignment in long leg radiographs with total knee arthroplasties
Gilbert M. Schwarz, Sebastian Simon, Jennyfer A. Mitterer, et al.
Knee Surgery Sports Traumatology Arthroscopy (2022) Vol. 30, Iss. 8, pp. 2538-2547
Closed Access | Times Cited: 22

Showing 22 citing articles:

Can an artificial intelligence powered software reliably assess pelvic radiographs?
Gilbert M. Schwarz, Sebastian Simon, Jennyfer A. Mitterer, et al.
International Orthopaedics (2023) Vol. 47, Iss. 4, pp. 945-953
Open Access | Times Cited: 18
Artificial intelligence‐based analyses of varus leg alignment and after high tibial osteotomy show high accuracy and reproducibility
Christoph Stotter, Thomas Klestil, Kenneth Chen, et al.
Knee Surgery Sports Traumatology Arthroscopy (2023) Vol. 31, Iss. 12, pp. 5885-5895
Open Access | Times Cited: 12
An AI-based system for fully automated knee alignment assessment in standard AP knee radiographs
D. M. Cullen, Peter Thompson, David S. Johnson, et al.
The Knee (2025) Vol. 54, pp. 99-110
Open Access
Use of Artificial Intelligence on Imaging and Preoperatory Planning of the Knee Joint: A Scoping Review
Luca Bertolino, Marta Bianca Maria Ranzini, Alberto Favaro, et al.
Medicina (2025) Vol. 61, Iss. 4, pp. 737-737
Open Access
Are artificial intelligence generated lower extremity radiographic measurements accurate in a cohort with implants?
Holden Archer, Shuda Xia, Seth Reine, et al.
Skeletal Radiology (2025)
Closed Access
Application of artificial intelligence in X-ray imaging analysis for knee arthroplasty: A systematic review
Zhihong Zhang, Hui Xu, Huimin Tao, et al.
PLoS ONE (2025) Vol. 20, Iss. 5, pp. e0321104-e0321104
Open Access
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: 9
Deep learning generated lower extremity radiographic measurements are adequate for quick assessment of knee angular alignment and leg length determination
Holden Archer, Seth Reine, Shuda Xia, et al.
Skeletal Radiology (2023) Vol. 53, Iss. 5, pp. 923-933
Closed Access | Times Cited: 9
Evaluation of a newly designed deep learning-based algorithm for automated assessment of scapholunate distance in wrist radiography as a surrogate parameter for scapholunate ligament rupture and the correlation with arthroscopy
Gabriel Keller, Katarzyna Rachunek, Fabian Springer, et al.
La radiologia medica (2023) Vol. 128, Iss. 12, pp. 1535-1541
Open Access | Times Cited: 8
The Role and Efficiency of an AI-Powered Software in the Evaluation of Lower Limb Radiographs before and after Total Knee Arthroplasty
Stefano Pagano, Karolina Müller, Julia Götz, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 17, pp. 5498-5498
Open Access | Times Cited: 7
Artificial Intelligence in Musculoskeletal Radiographs: Scoliosis, Hip, Limb Length, and Lower Extremity Alignment Measurements
Holden Archer, Shuda Xia, Christoph Salzlechner, et al.
Seminars in Roentgenology (2024) Vol. 59, Iss. 4, pp. 510-517
Closed Access | Times Cited: 2
Artificial intelligence‐based assessment of leg axis parameters shows excellent agreement with human raters: A systematic review and meta‐analysis
Mikhail Salzmann, Hakam Hassan Tarek, Robert Prill, et al.
Knee Surgery Sports Traumatology Arthroscopy (2024)
Open Access | Times Cited: 2
High accuracy in lower limb alignment analysis using convolutional neural networks, with improvements needed for joint‐level metrics
Christof Hoffmann, Fatih Göksu, Isabella Klöpfer‐Krämer, et al.
Knee Surgery Sports Traumatology Arthroscopy (2024)
Open Access | Times Cited: 2
Understanding the use of artificial intelligence for implant analysis in total joint arthroplasty: a systematic review
Aakash K. Shah, Monish S. Lavu, Christian J. Hecht, et al.
Arthroplasty (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 6
Fully automated assessment of the knee alignment on long leg radiographs following corrective knee osteotomies in patients with valgus or varus deformities
Jennyfer A. Mitterer, Stephanie Huber, Gilbert M. Schwarz, et al.
Archives of Orthopaedic and Trauma Surgery (2023) Vol. 144, Iss. 3, pp. 1029-1038
Closed Access | Times Cited: 6
Inverse kinematic total knee arthroplasty using conventional instrumentation restores constitutional coronal alignment
Sarah Keyes, Shane P. Russell, Zsolt Bertalan, et al.
Knee Surgery Sports Traumatology Arthroscopy (2024)
Open Access
Artificial intelligence correctly identifies perfect lateral knee X-rays: a pilot study
Felix C. Oettl, Moein Shariatnia, Kyle N. Kunze, et al.
Research Square (Research Square) (2024)
Closed Access
Evaluation of a deep learning software for automated measurements on full-leg standing radiographs
Louis Lassalle, Nor-Eddine Regnard, Marion Durteste, et al.
Knee Surgery and Related Research (2024) Vol. 36, Iss. 1
Open Access
Navigated versus conventionally instrumented total knee arthroplasty techniques: No difference in functional alignment or balance
Shane P. Russell, Sarah Keyes, G Grobler, et al.
Knee Surgery Sports Traumatology Arthroscopy (2024)
Closed Access
Möglichkeiten und Perspektiven zum Einsatz der künstlichen Intelligenz in der Sportorthopädie
Jakub Oronowicz, Christophe Ley, Milena Pachowsky, et al.
Sports Orthopaedics and Traumatology (2023) Vol. 39, Iss. 1, pp. 4-10
Open Access | Times Cited: 1
Reliability assessment of leg length and angular alignment on manual reads versus artificial intelligence-generated lower extremity radiographic measurements
Holden Archer, Seth Reine, Shuda Xia, et al.
Clinical Imaging (2024) Vol. 113, pp. 110233-110233
Closed Access
Automated Measurements of Long Leg Radiographs in Pediatric Patients: A Pilot Study to Evaluate an Artificial Intelligence-Based Algorithm
Thies J.N. van der Lelij, Willem Grootjans, Kevin J. Braamhaar, et al.
Children (2024) Vol. 11, Iss. 10, pp. 1182-1182
Open Access
Validation of AI-driven measurements for hip morphology assessment
Louis Lassalle, Nor-Eddine Regnard, Marion Durteste, et al.
European Journal of Radiology (2024) Vol. 183, pp. 111911-111911
Closed Access
Artificial intelligence and rehabilitation: what’s new and promising
Ray Marks
International Physical Medicine & Rehabilitation Journal (2023) Vol. 8, Iss. 2, pp. 135-140
Open Access
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