Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data
Junbo Tu, Weijie Liao, Wencai Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13

Showing 13 citing articles:

Machine Learning and Fuzzy Logic fusion approach for osteoporosis risk prediction
Rabia Khushal, Ubaida Fatima
MethodsX (2025) Vol. 14, pp. 103152-103152
Closed Access
Advanced applications in chronic disease monitoring using IoT mobile sensing device data, machine learning algorithms and frame theory: a systematic review
Yu Liu, Boyuan Wang
Frontiers in Public Health (2025) Vol. 13
Open Access
PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach
Zebing Si, Di Zhang, Huajun Wang, et al.
BMC Research Notes (2025) Vol. 18, Iss. 1
Open Access
Bone Health, Fragility Fractures, and the Hand Surgeon
Jennifer Ong, Isabel Snee, Isabel Marcano, et al.
Journal of Hand Surgery Global Online (2025)
Open Access
Enhancing Prediction of Osteoporosis Using Supervised and Unsupervised Learning: New Approach to Disease Subtyping
Muhannad Almohaimeed
Intelligent Information Management (2025) Vol. 17, Iss. 02, pp. 31-47
Open Access
Predictive Modeling of Osteoporosis Risk Factors using XGBoost and Bagging Ensemble Technique
Ir. Irmawati, Eka Herdit Juningsih, Yori Yanto
Journal Medical Informatics Technology (2024), pp. 6-10
Open Access | Times Cited: 1
Gene expression and hormonal signaling in osteoporosis: from molecular mechanisms to clinical breakthroughs
Gurinderdeep Singh, Ronald Darwin, Krishna Chandra Panda, et al.
Journal of Biomaterials Science Polymer Edition (2024), pp. 1-36
Closed Access | Times Cited: 1
Predicting Postoperative Length of Stay in Patients Undergoing Laparoscopic Right Hemicolectomy for Colon Cancer: A Machine Learning Approach Using SICE (Società Italiana di Chirurgia Endoscopica) CoDIG Data
Gabriele Anania, Matteo Chiozza, Emma Pedarzani, et al.
Cancers (2024) Vol. 16, Iss. 16, pp. 2857-2857
Open Access
Prediction models incorporating second metacarpal cortical index for osteoporosis in rheumatoid arthritis: Externally validated machine learning models developed using data from the KURAMA cohort
Ryohei Saito, Takayuki Fujii, Koichi Murata, et al.
International Journal of Rheumatic Diseases (2024) Vol. 27, Iss. 10
Closed Access
An Intelligent Auxiliary Diagnostic System for Early Osteoporosis Screening Using Stacking Ensemble Learning
Qian Wang, Yan Shang, Hong Ye, et al.
(2024)
Closed Access
Developing and comparing deep learning and machine learning algorithms for osteoporosis risk prediction
Chuan Qiu, Kuan‐Jui Su, Zhe Luo, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access
Identification of the risk of osteoporosis in older Vietnamese women using artificial intelligence and machine learning
Ketan Sarvakar
Elsevier eBooks (2024), pp. 81-103
Closed Access
Proposal of a Machine Learning Model for the Early Detection of Depression in University Students
Silvia Flores Aguilar, Antony Huaman, Wilfredo Ticona
Lecture notes in networks and systems (2024), pp. 659-672
Closed Access
Bonevoyage: Navigating the depths of osteoporosis detection with a dual-core ensemble of cascaded ShuffleNet and neural networks
Dhamodharan Srinivasan, Ajmeera Kiran, S. Parameswari, et al.
Journal of X-Ray Science and Technology (2024)
Closed Access
Page 1

Scroll to top