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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 to Identify Arthroplasty Implants From Radiographs of the Hip
Jaret M. Karnuta, Heather S. Haeberle, Bryan C. Luu, et al.
The Journal of Arthroplasty (2020) Vol. 36, Iss. 7, pp. S290-S294.e1
Closed Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

Machine learning and artificial intelligence in research and healthcare
Luc Rubinger, Aaron Gazendam, Seper Ekhtiari, et al.
Injury (2022) Vol. 54, pp. S69-S73
Closed Access | Times Cited: 98
Artificial intelligence in orthopedic surgery: evolution, current state and future directions
Andrew P. Kurmis, Jamie R. Ianunzio
Arthroplasty (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 74
Using a Google Web Search Analysis to Assess the Utility of ChatGPT in Total Joint Arthroplasty
Jeremy A. Dubin, Sandeep S. Bains, Zhongming Chen, et al.
The Journal of Arthroplasty (2023) Vol. 38, Iss. 7, pp. 1195-1202
Closed Access | Times Cited: 71
Chat Generative Pretrained Transformer (ChatGPT) and Bard: Artificial Intelligence Does not yet Provide Clinically Supported Answers for Hip and Knee Osteoarthritis
JaeWon Yang, Kyle S. Ardavanis, Katherine Slack, et al.
The Journal of Arthroplasty (2024) Vol. 39, Iss. 5, pp. 1184-1190
Closed Access | Times Cited: 26
Machine learning in knee arthroplasty: specific data are key—a systematic review
Florian Hinterwimmer, Igor Lazic, Christian Suren, et al.
Knee Surgery Sports Traumatology Arthroscopy (2022) Vol. 30, Iss. 2, pp. 376-388
Open Access | Times Cited: 47
Artificial intelligence in knee arthroplasty: current concept of the available clinical applications
Cécile Batailler, Jobe Shatrov, Elliot Sappey‐Marinier, et al.
Arthroplasty (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 45
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: 38
The Role of Artificial Intelligence and Emerging Technologies in Advancing Total Hip Arthroplasty
Luca Andriollo, Aurelio Picchi, Giulio Iademarco, et al.
Journal of Personalized Medicine (2025) Vol. 15, Iss. 1, pp. 21-21
Open Access | Times Cited: 1
Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research
Kyle N. Kunze, Melissa N. Orr, Viktor E. Krebs, et al.
Bone & Joint Open (2022) Vol. 3, Iss. 1, pp. 93-97
Open Access | Times Cited: 28
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
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
Artificial intelligence for automated identification of total shoulder arthroplasty implants
Kyle N. Kunze, Seong J. Jang, Tim Li, et al.
Journal of Shoulder and Elbow Surgery (2023) Vol. 32, Iss. 10, pp. 2115-2122
Closed Access | Times Cited: 18
Evaluating the Potential of Artificial Intelligence in Orthopedic Surgery for Value-based Healthcare
Aftab Tariq, Ahmad Yousaf Gill, Hafiz Khawar Hussain
International Journal of Multidisciplinary Sciences and Arts (2023) Vol. 2, Iss. 1, pp. 27-35
Open Access | Times Cited: 17
THA-AID: Deep Learning Tool for Total Hip Arthroplasty Automatic Implant Detection With Uncertainty and Outlier Quantification
Pouria Rouzrokh, John P. Mickley, Bardia Khosravi, et al.
The Journal of Arthroplasty (2023) Vol. 39, Iss. 4, pp. 966-973.e17
Closed Access | Times Cited: 16
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
Artificial Intelligence-Based Recognition of Different Types of Shoulder Implants in X-ray Scans Based on Dense Residual Ensemble-Network for Personalized Medicine
Haseeb Sultan, Muhammad Owais, Chanhum Park, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 6, pp. 482-482
Open Access | Times Cited: 38
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: 26
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
A practical guide to the development and deployment of deep learning models for the Orthopedic surgeon: part I
Jacob F. Oeding, Riley J. Williams, Benedict U. Nwachukwu, et al.
Knee Surgery Sports Traumatology Arthroscopy (2022) Vol. 31, Iss. 2, pp. 382-389
Closed Access | Times Cited: 25
Artificial Intelligence Radiographic Analysis Tool for Total Knee Arthroplasty
M. Bonnin, Florian Müller-Fouarge, Théo Estienne, et al.
The Journal of Arthroplasty (2023) Vol. 38, Iss. 7, pp. S199-S207.e2
Closed Access | Times Cited: 15
An Interpretable Machine Learning Model for Predicting 10-Year Total Hip Arthroplasty Risk
Seong J. Jang, Mark Alan Fontana, Kyle N. Kunze, et al.
The Journal of Arthroplasty (2023) Vol. 38, Iss. 7, pp. S44-S50.e6
Closed Access | Times Cited: 14
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: 5
Artificial intelligence in orthopedic implant model classification: a systematic review
Mark Ren, Paul H. Yi
Skeletal Radiology (2021) Vol. 51, Iss. 2, pp. 407-416
Closed Access | Times Cited: 31
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
Deep Learning Approach for Diagnosing Early Osteonecrosis of the Femoral Head Based on Magnetic Resonance Imaging
Xianyue Shen, Jia Luo, Xiongfeng Tang, et al.
The Journal of Arthroplasty (2022) Vol. 38, Iss. 10, pp. 2044-2050
Closed Access | Times Cited: 22
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