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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:

Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond
Amirhossein Arzani, Jianxun Wang, Michael S. Sacks, et al.
Annals of Biomedical Engineering (2022) Vol. 50, Iss. 6, pp. 615-627
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Recent developments in modeling, imaging, and monitoring of cardiovascular diseases using machine learning
Hamed Moradi, Akram Al‐Hourani, Gianmarco Concilia, et al.
Biophysical Reviews (2023) Vol. 15, Iss. 1, pp. 19-33
Open Access | Times Cited: 40
Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology
Xuelan Zhang, Baoyan Mao, Yue Che, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107287-107287
Open Access | Times Cited: 24
Understanding Physics-Informed Neural Networks: Techniques, Applications, Trends, and Challenges
Amer Farea, Olli Yli‐Harja, Frank Emmert‐Streib
AI (2024) Vol. 5, Iss. 3, pp. 1534-1557
Open Access | Times Cited: 12
Modal analysis of blood flows in saccular aneurysms
Tue Nguyen, Davina Kasperski, Phat K. Huynh, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Open Access | Times Cited: 1
Current and Future Applications of Computational Fluid Dynamics in Coronary Artery Disease
Alessandro Candreva, Giuseppe De Nisco, Maurizio Lodi Rizzini, et al.
Reviews in Cardiovascular Medicine (2022) Vol. 23, Iss. 11, pp. 377-377
Open Access | Times Cited: 32
Virtual Shape-Editing of Patient-Specific Vascular Models Using Regularized Kelvinlets
Jonathan Pham, Fanwei Kong, Doug L. James, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 6, pp. 1913-1925
Closed Access | Times Cited: 5
Accelerated simulation methodologies for computational vascular flow modelling
Michael MacRaild, Ali Sarrami‐Foroushani, Toni Lassila, et al.
Journal of The Royal Society Interface (2024) Vol. 21, Iss. 211
Open Access | Times Cited: 5
Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall
Julian Suk, Pim de Haan, Phillip Lippe, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108328-108328
Open Access | Times Cited: 5
Physics-constrained coupled neural differential equations for one dimensional blood flow modeling
Hunor Csala, Arvind Mohan, Daniel Livescu, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109644-109644
Open Access
A microstructure-based finite element model of the human left ventricle for simulating the trans-scale myocardial mechanical behaviors
Taiwei Liu, Fuyou Liang
Mechanics of Materials (2025), pp. 105273-105273
Closed Access
Uncover Hidden Physical Information of Soft Matter by Observing Large Deformation
Huanyu Yang, Yiwei Cheng, Penghui Zhao, et al.
Advanced Science (2025)
Open Access
Physics-integrated neural differentiable (PiNDiff) model for composites manufacturing
Deepak Akhare, Tengfei Luo, Jianxun Wang
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 406, pp. 115902-115902
Open Access | Times Cited: 11
Performance of Fourier-based activation function in physics-informed neural networks for patient-specific cardiovascular flows
A. Aghaee, Muhammad Owais Khan
Computer Methods and Programs in Biomedicine (2024) Vol. 247, pp. 108081-108081
Open Access | Times Cited: 4
Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks
Marcel Beetz, Abhirup Banerjee, Vicente Grau
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 8, pp. 4810-4819
Open Access | Times Cited: 4
Interpreting and generalizing deep learning in physics-based problems with functional linear models
Amirhossein Arzani, Lingxiao Yuan, Pania Newell, et al.
Engineering With Computers (2024)
Closed Access | Times Cited: 4
Cardiovascular fluid dynamics: a journey through our circulation
Karthik Menon, Zinan Hu, Alison L. Marsden
Flow (2024) Vol. 4
Open Access | Times Cited: 4
An ultrasound-exclusive non-invasive computational diagnostic framework for personalized cardiology of aortic valve stenosis
Nikrouz Bahadormanesh, Benjamin Tomka, Mason Kadem, et al.
Medical Image Analysis (2023) Vol. 87, pp. 102795-102795
Closed Access | Times Cited: 10
Probabilistic physics-integrated neural differentiable modeling for isothermal chemical vapor infiltration process
Deepak Akhare, Zeping Chen, Richard Gulotty, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 3
Physics-informed neural networks for parameter estimation in blood flow models
Jeremías Garay, Jocelyn Dunstan, Sergio Uribe, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108706-108706
Closed Access | Times Cited: 3
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
Interplay between Artificial Intelligence and Biomechanics Modeling in the Cardiovascular Disease Prediction
Xiaoyin Li, Xiao Liu, Xiaoyan Deng, et al.
Biomedicines (2022) Vol. 10, Iss. 9, pp. 2157-2157
Open Access | Times Cited: 14
Computational fluid dynamics as supporting technology for coronary artery disease diagnosis and treatment: an international survey
Claudio Chiastra, Marco Zuin, Gianluca Rigatelli, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 10
Open Access | Times Cited: 8
USING CONVOLUTIONAL NEURAL NETWORK-BASED SEGMENTATION FOR IMAGE-BASED COMPUTATIONAL FLUID DYNAMICS SIMULATIONS OF BRAIN ANEURYSMS: INITIAL EXPERIENCE IN AUTOMATED MODEL CREATION
Mostafa Rezaeitaleshmahalleh, Zonghan Lyu, Nan Mu, et al.
Journal of Mechanics in Medicine and Biology (2023) Vol. 23, Iss. 04
Closed Access | Times Cited: 7
Synergistic integration of deep neural networks and finite element method with applications of nonlinear large deformation biomechanics
Liang Liang, Minliang Liu, John A. Elefteriades, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 416, pp. 116347-116347
Open Access | Times Cited: 7
The utility of hybrid in silico models of airflow and aerosol dosimetry in the lung
Jessica M. Oakes
Journal of Biomechanics (2024) Vol. 168, pp. 112126-112126
Open Access | Times Cited: 2
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