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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:

Study of the significance of parameters and their interaction on assessing femoral fracture risk by quantitative statistical analysis
Rabina Awal, Jalel Ben Hmida, Yunhua Luo, et al.
Medical & Biological Engineering & Computing (2022) Vol. 60, Iss. 3, pp. 843-854
Closed Access | Times Cited: 9

Showing 9 citing articles:

SSDL—an automated semi-supervised deep learning approach for patient-specific 3D reconstruction of proximal femur from QCT images
Jamalia Sultana, Mahmuda Naznin, Tanvir R. Faisal
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 5, pp. 1409-1425
Closed Access | Times Cited: 3
Force magnitude and distribution during impacts to the hip are affected differentially by body size and body composition
Iris C. Levine, Steven P. Pretty, Marina Mourtzakis, et al.
Journal of Biomechanics (2024) Vol. 172, pp. 112213-112213
Open Access | Times Cited: 3
Patient-specific finite element analysis for assessing hip fracture risk in aging populations
K N Chethan, Nadine Schmidt Genannt Waldschmidt, John Valerian Corda, et al.
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 3, pp. 035006-035006
Open Access | Times Cited: 2
Risk analysis for subsequent fracture of osteoporotic fractures in Chinese women over age 60: a nationwide cross-sectional study
Nan Tang, Ling Gao, Jie Song, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
QCT-based 3D finite element modeling to assess patient-specific hip fracture risk and risk factors
Rabina Awal, Tanvir R. Faisal
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials (2023) Vol. 150, pp. 106299-106299
Closed Access | Times Cited: 6
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
Machine learning based finite element analysis (FEA) surrogate for hip fracture risk assessment and visualization
Rabina Awal, Mahmuda Naznin, Tanvir R. Faisal
Expert Systems with Applications (2024), pp. 125916-125916
Closed Access
Semi-Supervised Learning Based Femur Segmentation from QCT Images
Jamalia Sultana, Mashiyat Nayeem, Mahmuda Naznin, et al.
(2023), pp. 1656-1661
Closed Access
Implementing Machine Learning Algorithms on a Finite Element Simulated Dataset to Predict Hip Fracture Risk
Rabina Awal, Mahmuda Naznin, Sarah C. Doll, et al.
SSRN Electronic Journal (2022)
Closed Access
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