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:

Machine learning and reduced order modelling for the simulation of braided stent deployment
Beatrice Bisighini, Miquel Aguirre, Marco Evangelos Biancolini, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 14

Showing 14 citing articles:

Machine learning and statistical shape modelling for real-time prediction of stent deployment in realistic anatomies
Beatrice Bisighini, Miquel Aguirre, Baptiste Pierrat, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 260, pp. 108583-108583
Open Access

Patient-specific coronary angioplasty simulations — A mixed-dimensional finite element modeling approach
Janina C. Datz, Ivo Steinbrecher, Christoph Meier, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109914-109914
Open Access

Machine Learning‐Based Rapid Prediction of Torsional Performance of Personalized Peripheral Artery Stent
Xiang Shen, Jiahao Chen, Zewen He, et al.
International Journal for Numerical Methods in Biomedical Engineering (2025) Vol. 41, Iss. 3
Closed Access

Review of Machine Learning Techniques in Soft Tissue Biomechanics and Biomaterials
Samir Donmazov, Eda Nur Saruhan, Kerem Pekkan, et al.
Cardiovascular Engineering and Technology (2024) Vol. 15, Iss. 5, pp. 522-549
Closed Access | Times Cited: 3

PyTorch-FEA: Autograd-enabled finite element analysis methods with applications for biomechanical analysis of human aorta
Liang Liang, Minliang Liu, John A. Elefteriades, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 238, pp. 107616-107616
Open Access | Times Cited: 9

Patient-specific computational modelling of endovascular treatment for intracranial aneurysms
Beatrice Bisighini, Miquel Aguirre, Baptiste Pierrat, et al.
Brain Multiphysics (2023) Vol. 5, pp. 100079-100079
Open Access | Times Cited: 6

Physics-Informed Graph Neural Networks to Solve 1-D Equations of Blood Flow
Ahmet Şen, Elnaz Ghajar-Rahimi, Miquel Aguirre, et al.
(2024)
Closed Access | Times Cited: 1

A Survey on Weather Prediction using Big Data and Machine Learning Techniques
Saroj Kumar Panda, Papia Ray
(2023), pp. 1-6
Closed Access | Times Cited: 2

Cardiovascular medtech: the grand challenge of computer simulations
Stéphane Avril
Frontiers in Medical Technology (2023) Vol. 5
Open Access | Times Cited: 2

Global tendencies and frontier topics in hemodynamics research of intracranial aneurysms: a bibliometric analysis from 1999 to 2022
Bo Chen, Siting Huang, Liyang Zhang, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 2

Towards a reduced order model for EVAR planning and intra-operative navigation
Monica Emendi, Eirini Kardampiki, Karen-Helene Støverud, et al.
Medical Engineering & Physics (2024) Vol. 131, pp. 104229-104229
Open Access

Innovations in Interventional Cardiology: Pioneering Techniques for a New Era
Shah Hamayun, H. M. Adnan Hameed, Attique Ur Rehman, et al.
Current Problems in Cardiology (2024) Vol. 49, Iss. 12, pp. 102836-102836
Closed Access

Physics-Informed Graph Neural Networks to solve 1-D equations of blood flow
Ahmet Şen, Elnaz Ghajar-Rahimi, Miquel Aguirre, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108427-108427
Open Access

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