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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:

Prediction of osteoporotic hip fracture in postmenopausal women through patient-specific FE analyses and machine learning
Eduardo Villamor, C. Monserrat, Luis del Río, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 193, pp. 105484-105484
Open Access | Times Cited: 37

Showing 26-50 of 37 citing articles:

Modelling future bone mineral density: Simplicity or complexity?
E Erjiang, John Carey, Tingyan Wang, et al.
Bone (2024) Vol. 187, pp. 117178-117178
Open Access
Fracture risk prediction in diabetes patients based on Lasso feature selection and Machine Learning
Shi Yu, Junhua Fang, Jiayi Li, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-17
Closed Access
Interpretable machine learning classifiers for the reliable prediction of fall induced hip fracture risk
Rabina Awal, Sarah C. Doll, Mahmuda Naznin, et al.
Machine learning for computational science and engineering (2024) Vol. 1, Iss. 1
Closed Access
Development and Validation of a Machine Learning-Based Nomogram for Prediction of Unplanned Reoperation Postspinal Surgery Within 30 Days
Hai-yang Qiu, Changbo Lu, Daming Liu, et al.
World Neurosurgery (2024) Vol. 193, pp. 647-662
Open Access
Diagnostic accuracy of deep learning in prediction of osteoporosis: a systematic review and meta-analysis
Firouz Amani, Masoud Amanzadeh, Mahnaz Hamedan, et al.
BMC Musculoskeletal Disorders (2024) Vol. 25, Iss. 1
Open Access
Chronological-hybrid optimization enabled deep learning for boundary segmentation and osteoporosis classification using femur bone
Kiran Dhanaji Kale, Bharati Ainapure, Sowjanya Nagulapati, et al.
The Imaging Science Journal (2023) Vol. 72, Iss. 2, pp. 183-203
Closed Access | Times Cited: 1
Retrospective study: risk assessment model for osteoporosis—a detailed exploration involving 4,552 Shanghai dwellers
Dan Han, Zhongcheng Fan, Yisheng Chen, et al.
PeerJ (2023) Vol. 11, pp. e16017-e16017
Open Access | Times Cited: 1
Pertaining analysis of fracture risk in Osteoporotic patients using Machine Learning Techniques
Neeta Tripathi, Ramesh Chandra Poonia
(2023), pp. 1-5
Closed Access
AIM in Endocrinology
Namki Hong, Yurang Park, Seng Chan You, et al.
Artificial Intelligence in Medicine (2022), pp. 673-688
Closed Access
Identification of Deterioration caused by AHF, MADS or CE by RR and QT Data Classification
Maxim V. Abramov, Ekaterina Tsukanova, Alexander Lvovich Tulupyev, et al.
Informatics and Automation (2022) Vol. 21, Iss. 2, pp. 311-338
Open Access
Effect of Artificial Intelligence or Machine Learning on Prediction of Hip Fracture Risk: Systematic Review
Yonghan Cha, Jung-Taek Kim, Jin‐Woo Kim, et al.
Research Square (Research Square) (2022)
Open Access
AIM in Endocrinology
Namki Hong, Yurang Park, Seng Chan You, et al.
Artificial Intelligence in Medicine (2021), pp. 1-17
Closed Access
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