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:

A multiscale model to predict current absolute risk of femoral fracture in a postmenopausal population
Pinaki Bhattacharya, Zainab Altai, Muhammad Qasim, et al.
Biomechanics and Modeling in Mechanobiology (2018) Vol. 18, Iss. 2, pp. 301-318
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Osteoporosis: Molecular Pathology, Diagnostics, and Therapeutics
Babapelumi Adejuyigbe, Julie Kallini, Daniel Chiou, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 19, pp. 14583-14583
Open Access | Times Cited: 46

Biomechanical Computed Tomography analysis (BCT) for clinical assessment of osteoporosis
Tony M. Keaveny, B.L. Clarke, Felicia Cosman, et al.
Osteoporosis International (2020) Vol. 31, Iss. 6, pp. 1025-1048
Open Access | Times Cited: 94

Topologically engineered 3D printed architectures with superior mechanical strength
Rushikesh S. Ambekar, Brijesh Kushwaha, Pradeep Sharma, et al.
Materials Today (2021) Vol. 48, pp. 72-94
Open Access | Times Cited: 68

Credibility assessment of computational models according to ASME V&V40: Application to the Bologna Biomechanical Computed Tomography solution
Alessandra Aldieri, Cristina Curreli, Julia A. Szyszko, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107727-107727
Open Access | Times Cited: 15

CT image-based biomarkers for opportunistic screening of osteoporotic fractures: a systematic review and meta-analysis
D Anitha, Nico Sollmann, Thomas Baum, et al.
Osteoporosis International (2024) Vol. 35, Iss. 6, pp. 971-996
Open Access | Times Cited: 4

DXA-based statistical models of shape and intensity outperform aBMD hip fracture prediction: A retrospective study
Alessandra Aldieri, Margaret Paggiosi, Richard Eastell, et al.
Bone (2024) Vol. 182, pp. 117051-117051
Open Access | Times Cited: 4

Improving the Hip Fracture Risk Prediction Through 2D Finite Element Models From DXA Images: Validation Against 3D Models
Mara Terzini, Alessandra Aldieri, Luca Rinaudo, et al.
Frontiers in Bioengineering and Biotechnology (2019) Vol. 7
Open Access | Times Cited: 31

Steel and bone: mesoscale modeling and middle-out strategies in physics and biology
Robert W. Batterman, Sara Green
Synthese (2020) Vol. 199, Iss. 1-2, pp. 1159-1184
Closed Access | Times Cited: 31

A Review of CT-Based Fracture Risk Assessment with Finite Element Modeling and Machine Learning
Ingmar Fleps, Elise F. Morgan
Current Osteoporosis Reports (2022) Vol. 20, Iss. 5, pp. 309-319
Open Access | Times Cited: 18

Development and validation of a semi-automated and unsupervised method for femur segmentation from CT
Alessandra Aldieri, Riccardo Biondi, Antonino A. La Mattina, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

2D-3D reconstruction of the proximal femur from DXA scans: Evaluation of the 3D-Shaper software
Alice Dudle, Yvan Gugler, Michael L. Pretterklieber, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 8

Image-based finite-element modeling of the human femur
Cristina Falcinelli, Cari Whyne
Computer Methods in Biomechanics & Biomedical Engineering (2020) Vol. 23, Iss. 14, pp. 1138-1161
Closed Access | Times Cited: 23

Personalised 3D Assessment of Trochanteric Soft Tissues Improves HIP Fracture Classification Accuracy
Alessandra Aldieri, Mara Terzini, Alberto Audenino, et al.
Annals of Biomedical Engineering (2022) Vol. 50, Iss. 3, pp. 303-313
Open Access | Times Cited: 12

Automatic segmentation of lower limb muscles from MR images of post-menopausal women based on deep learning and data augmentation
William H. Henson, Xinshan Li, Zhicheng Lin, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0299099-e0299099
Open Access | Times Cited: 2

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

Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis—A Survey
Amadeus C. S. de Alcântara, Israel Assis, Daniel Prada, et al.
Materials (2019) Vol. 13, Iss. 1, pp. 106-106
Open Access | Times Cited: 16

Body Anthropometry and Bone Strength Conjointly Determine the Risk of Hip Fracture in a Sideways Fall
Marco Palanca, Egon Perilli, Saulo Martelli
Annals of Biomedical Engineering (2020) Vol. 49, Iss. 5, pp. 1380-1390
Open Access | Times Cited: 13

Improving the Hip Fracture Risk Prediction with a Statistical Shape-and-Intensity Model of the Proximal Femur
Alessandra Aldieri, Pinaki Bhattacharya, Margaret Paggiosi, et al.
Annals of Biomedical Engineering (2022) Vol. 50, Iss. 2, pp. 211-221
Open Access | Times Cited: 8

Statistical Properties of a Virtual Cohort for In Silico Trials Generated with a Statistical Anatomy Atlas
Antonino A. La Mattina, Fabio Baruffaldi, Mark Taylor, et al.
Annals of Biomedical Engineering (2022) Vol. 51, Iss. 1, pp. 117-124
Open Access | Times Cited: 8

Phantomless calibration of CT scans for hip fracture risk prediction in silico: Comparison with phantom-based calibration
Julia A. Szyszko, Alessandra Aldieri, Antonino A. La Mattina, et al.
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0305474-e0305474
Open Access | Times Cited: 1

A computed tomography-based limit analysis approach to investigate the mechanical behavior of the human femur prone to fracture
Cristina Falcinelli, A.A. Pisano, Marcello Vasta, et al.
Meccanica (2024) Vol. 59, Iss. 8, pp. 1301-1313
Open Access | Times Cited: 1

In Silico clinical trial to predict the efficacy of hip protectors for preventing hip fractures
Sara Oliviero, Antonino A. La Mattina, Giacomo Savelli, et al.
Journal of Biomechanics (2024) Vol. 176, pp. 112335-112335
Open Access | Times Cited: 1

Delivering computationally-intensive digital patient applications to the clinic: An exemplar solution to predict femoral bone strength from CT data
Ivan Benemerito, W.D. Griffiths, John F. Allsopp, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 208, pp. 106200-106200
Open Access | Times Cited: 11

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