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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:

Application of Machine Learning to Identify Clinically Meaningful Risk Group for Osteoporosis in Individuals Under the Recommended Age for Dual-Energy X-Ray Absorptiometry
Hyun Woo Park, Hyojung Jung, Kyoung Yeon Back, et al.
Calcified Tissue International (2021) Vol. 109, Iss. 6, pp. 645-655
Closed Access | Times Cited: 15

Showing 15 citing articles:

Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation
Bogyeong Suh, Heejin Yu, Hye‐Yeon Kim, et al.
Journal of Medical Internet Research (2022) Vol. 25, pp. e40179-e40179
Open Access | Times Cited: 22
Machine learning models to predict osteoporosis in patients with chronic kidney disease stage 3–5 and end-stage kidney disease
Chia‐Tien Hsu, Chin‐Yin Huang, Cheng‐Hsu Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Application of machine learning algorithms to predict osteoporosis in postmenopausal women with type 2 diabetes mellitus
Xuelun Wu, F Zhai, Alexander Chang, et al.
Journal of Endocrinological Investigation (2023) Vol. 46, Iss. 12, pp. 2535-2546
Closed Access | Times Cited: 7
Machine-Learning-Based Prediction Modelling in Primary Care: State-of-the-Art Review
Adham El Sherbini, Hafeez Ul Hassan Virk, Zhen Wang, et al.
AI (2023) Vol. 4, Iss. 2, pp. 437-460
Open Access | Times Cited: 7
Prediction of osteoporosis in patients with rheumatoid arthritis using machine learning
Chaewon Lee, Gihun Joo, Seunghun Shin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Development and reporting of artificial intelligence in osteoporosis management
Guillaume Gatineau, Enisa Shevroja, Colin Vendrami, et al.
Journal of Bone and Mineral Research (2024) Vol. 39, Iss. 11, pp. 1553-1573
Open Access | Times Cited: 1
Prediction of osteoporosis in patients with rheumatoid arthritis using machine learning
Hyeonseung Im, Ki Won Moon, Chaewon Lee, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Development of Machine Learning Models for Predicting Osteoporosis in Patients with Type 2 Diabetes Mellitus—A Preliminary Study
Xuelun Wu, Furui Zhai, Ailing Chang, et al.
Diabetes Metabolic Syndrome and Obesity (2023) Vol. Volume 16, pp. 1987-2003
Open Access | Times Cited: 3
A novel primary osteoporosis screening tool (POST) for adults aged 50 years and over
Yuchen Tang, Jinmin Liu, Cong Tian, et al.
Endocrine (2023) Vol. 82, Iss. 1, pp. 190-200
Closed Access | Times Cited: 2
Bridging the Gap: A narrative review of osteoporosis disability, adipokines, and the role of AI in postmenopausal women
Saba Tariq, Sohail Jabbar, Awais Ahmad, et al.
Pakistan Journal of Medical Sciences (2024) Vol. 40, Iss. 7
Open Access
GLCM-Based FBLS: A Novel Broad Learning System for Knee Osteopenia and Osteoprosis Screening in Athletes
Zhangtianyi Chen, Haotian Zheng, Junwei Duan, et al.
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11150-11150
Open Access | Times Cited: 1
Hierarchical Osteoporosis Screening Model for Middle and Elderly Women: Integrating Genetic Feature Generation with Catboost-Tabnet
Yingfei Wu, Jinming Li, Yijie Chen, et al.
(2023)
Closed Access
Using Bayesian Networks For Predicting Hypertension Risk Factors
Neeraj Varshney, Parul Madan, Jacob J. Michaelson, et al.
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 1885-1891
Closed Access
Predictive Modeling for Osteoporosis Risk Assessment from DXA Scans
Neeraj Varshney, Hemant Singh Pokhariya, Anurag Shrivastava, et al.
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 1819-1825
Closed Access
Multi-Objective Optimization for Effective Diagnosis of Osteoporosis in Diabetic Patients Using Random Forest and Nsga-Ii Algorithms
Xianguang Fan, Yiling Yin, Xin Wang, et al.
SSRN Electronic Journal (2022)
Closed Access
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