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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 1-25 of 37 citing articles:

Machine Learning Solutions for Osteoporosis—A Review
Julien Smets, Enisa Shevroja, Thomas Hügle, et al.
Journal of Bone and Mineral Research (2020) Vol. 36, Iss. 5, pp. 833-851
Open Access | Times Cited: 124
Application of artificial intelligence technology in the field of orthopedics: a narrative review
Pengran Liu, Jiayao Zhang, Songxiang Liu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 12
Machine learning algorithms for diagnosis of hip bone osteoporosis: a systematic review and meta-analysis study
Fakher Rahim, Amin Zaki Zadeh, Pouya Javanmardi, et al.
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 16
Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective
Chi Wu, Yanan Xu, Jianguang Fang, et al.
Archives of Computational Methods in Engineering (2024)
Open Access | Times Cited: 4
Clinical Application of Finite Element Analysis in Meniscus Diseases: A Comprehensive Review
Jiangbo Zhang, Bingpeng Chen, Bo Chen, et al.
Archives of Computational Methods in Engineering (2025)
Open Access
Screening for Osteoporosis from Blood Test Data in Elderly Women Using a Machine Learning Approach
Atsuyuki Inui, Hanako Nishimoto, Yutaka Mifune, et al.
Bioengineering (2023) Vol. 10, Iss. 3, pp. 277-277
Open Access | Times Cited: 10
Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis
Y. Iwamoto, Takeshi Imura, Ryo Tanaka, et al.
Journal of Stroke and Cerebrovascular Diseases (2020) Vol. 29, Iss. 12, pp. 105332-105332
Closed Access | Times Cited: 27
C1QC, VSIG4, and CFD as Potential Peripheral Blood Biomarkers in Atrial Fibrillation-Related Cardioembolic Stroke
Qian Ding, Juan Xing, Fanghui Bai, et al.
Oxidative Medicine and Cellular Longevity (2023) Vol. 2023, pp. 1-25
Open Access | Times Cited: 9
Risk assessment of resurfacing implant loosening and femur fracture under low-energy impacts taking into account degenerative changes in bone tissues. Computer simulation
Galina M. Eremina, A. Yu. Smolin
Computer Methods and Programs in Biomedicine (2021) Vol. 200, pp. 105929-105929
Closed Access | Times Cited: 21
Predictive value of machine learning on fracture risk in osteoporosis: a systematic review and meta-analysis
Yanqian Wu, Jianqian Chao, Min Bao, et al.
BMJ Open (2023) Vol. 13, Iss. 12, pp. e071430-e071430
Open Access | Times Cited: 8
Automatic Segmentation of Periapical Radiograph Using Color Histogram and Machine Learning for Osteoporosis Detection
Rini Widyaningrum, Enny Itje Sela, Reza Pulungan, et al.
International Journal of Dentistry (2023) Vol. 2023, pp. 1-9
Open Access | Times Cited: 7
AI algorithms for accurate prediction of osteoporotic fractures in patients with diabetes: an up-to-date review
Zeting Li, Wen Zhao, Xiahong Lin, et al.
Journal of Orthopaedic Surgery and Research (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 7
Finite Element Assessment of Bone Fragility from Clinical Images
Enrico Schileo, Fulvia Taddei
Current Osteoporosis Reports (2021) Vol. 19, Iss. 6, pp. 688-698
Closed Access | Times Cited: 16
Development and Internal Validation of Supervised Machine Learning Algorithm for Predicting the Risk of Recollapse Following Minimally Invasive Kyphoplasty in Osteoporotic Vertebral Compression Fractures
Shengtao Dong, Jieyang Zhu, Hua Yang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 12
Risk Assessment of Hip Fracture Based on Machine Learning
Alessio Galassi, José D. Martín‐Guerrero, Eduardo Villamor, et al.
Applied Bionics and Biomechanics (2020) Vol. 2020, pp. 1-13
Open Access | Times Cited: 16
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: 14
A Machine-Learning-Based Approach for Predicting Mechanical Performance of Semi-Porous Hip Stems
Khaled Akkad, Hassan Mehboob, Rakan Alyamani, et al.
Journal of Functional Biomaterials (2023) Vol. 14, Iss. 3, pp. 156-156
Open Access | Times Cited: 5
Predictors of adverse events after percutaneous pedicle screws fixation in patients with single-segment thoracolumbar burst fractures
Shengtao Dong, Zongyuan Li, Zhi‐Ri Tang, et al.
BMC Musculoskeletal Disorders (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 8
A Systematic Review on Osteoporosis Prediction in Postmenopausal Women
Athira O. M, M. Mohankumar
(2024), pp. 1-6
Closed Access | Times Cited: 1
A systematic review on approach and analysis of bone fracture classification
Santoshachandra Rao Karanam, Y. Srinivas, Sujata Chakravarty
Materials Today Proceedings (2021) Vol. 80, pp. 2557-2562
Closed Access | Times Cited: 11
Smart Design of Hip Replacement Prostheses Using Additive Manufacturing and Machine Learning Techniques
Dario Milone, Danilo D’Andrea, Dario Santonocito
Prosthesis (2023) Vol. 6, Iss. 1, pp. 24-40
Open Access | Times Cited: 3
Musculoskeletal trauma imaging in the era of novel molecular methods and artificial intelligence
Michail E. Klontzas, Georgios Z. Papadakis, Kostas Marias, et al.
Injury (2020) Vol. 51, Iss. 12, pp. 2748-2756
Closed Access | Times Cited: 7
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.
Journal of Bone Metabolism (2023) Vol. 30, Iss. 3, pp. 245-252
Open Access | Times Cited: 2
Associations Among Hip Structure, Bone Mineral Density, and Strength Vary With External Bone Size in White Women
Karl J. Jepsen, Erin M.R. Bigelow, Michael Casden, et al.
JBMR Plus (2022) Vol. 7, Iss. 3
Open Access | Times Cited: 3
Enhanced Detection of Osteoporosis in Femur Bones with Improved VGG16
Sandeep Kaur, Jaspreet Singh
(2024), pp. 1341-1345
Closed Access
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