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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-enabled Chest X-ray Classifies Osteoporosis and Identifies Mortality Risk
Dung-Jang Tsai, Chin Lin, Chin‐Sheng Lin, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Closed Access | Times Cited: 10

Showing 10 citing articles:

Osteoporotic Precise Screening Using Chest Radiography and Artificial Neural Network: The OPSCAN Randomized Controlled Trial
Chin Lin, Dung-Jang Tsai, Chih‐Chia Wang, et al.
Radiology (2024) Vol. 311, Iss. 3
Closed Access | Times Cited: 5
Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis
Ali Tarighatnia, Masoud Amanzadeh, Mahnaz Hamedan, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Development and validation of explainable machine learning models for female hip osteoporosis using electronic health records
Wanlin Jin, Lulu Xu, Chun Yue, et al.
International Journal of Medical Informatics (2025), pp. 105889-105889
Closed Access
Prevention of Osteoporosis in SAMP6 Mice by Rikkunshi-To: Japanese Kampo Medicine
Kouichi Yamamoto, Keiko Yamamoto
Life (2025) Vol. 15, Iss. 4, pp. 557-557
Open Access
Prediction of Future Risk of Moderate to Severe Kidney Function Loss Using a Deep Learning Model–Enabled Chest Radiography
Kai-Chieh Chen, S. S. Lee, Dung-Jang Tsai, et al.
Deleted Journal (2025)
Closed Access
Diagnostic accuracy of chest X-ray and CT using artificial intelligence for osteoporosis: systematic review and meta-analysis
Norio Yamamoto, Akihiro Shiroshita, Ryota Kimura, et al.
Journal of Bone and Mineral Metabolism (2024) Vol. 42, Iss. 5, pp. 483-491
Closed Access | Times Cited: 3
Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects
Jiaming Yang, Baojun Chen, R. Li, et al.
Current Medical Science (2024)
Closed Access | Times Cited: 1
Clinical Validation of a Deep Learning-Based Software for Lumbar Bone Mineral Density and T-Score Prediction from Chest X-ray Images
Sheng-Chieh Tseng, Chia-En Lien, Cheng-Hung Lee, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1208-1208
Open Access
Artificial Intelligence Applications for Imaging Metabolic Bone Diseases
Amanda Isaac, Aslı Irmak Akdoğan, Danoob Dalili, et al.
Seminars in Musculoskeletal Radiology (2024) Vol. 28, Iss. 05, pp. 610-619
Closed Access
Applying Deep-Learning Algorithm Interpreting Kidney, Ureter, and Bladder (KUB) X-Rays to Detect Colon Cancer
Ling Lee, Chin Lin, Chia-Jung Hsu, et al.
Deleted Journal (2024)
Closed Access
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