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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:

POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium
Stefania Fresca, Andrea Manzoni, Luca Dede’, et al.
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition
Simone Brivio, Stefania Fresca, Nicola Rares Franco, et al.
Advances in Computational Mathematics (2024) Vol. 50, Iss. 3
Open Access | Times Cited: 10
A machine learning method for real-time numerical simulations of cardiac electromechanics
Francesco Regazzoni, Matteo Salvador, Luca Dede’, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 393, pp. 114825-114825
Open Access | Times Cited: 31
A reduced order model formulation for left atrium flow: an atrial fibrillation case
Caterina Balzotti, Pierfrancesco Siena, Michele Girfoglio, et al.
Biomechanics and Modeling in Mechanobiology (2024) Vol. 23, Iss. 4, pp. 1411-1429
Open Access | Times Cited: 6
A neural network finite element approach for high speed cardiac mechanics simulations
Shruti Motiwale, Wenbo Zhang, Reese Feldmeier, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 427, pp. 117060-117060
Closed Access | Times Cited: 6
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
Linear Surrogate Modelling for Predicting Hemodynamic in Carotid Artery Stenosis During Exercise Conditions
Feng Wang, Wensheng Shi, Haibin Zhang, et al.
Chinese Journal of Physics (2025)
Closed Access
High-Fidelity Hilly Terrain Wind Field Prediction by Surrogate Model Based on Pod and Dt-Ml Method
Weijia Wang, Fubin Chen
(2025)
Closed Access
A Non‐Intrusive, Online Reduced Order Method for Non‐Linear Micro‐Heterogeneous Materials
Yasemin von Hoegen, Rainer Niekamp, Jörg Schröder
International Journal for Numerical Methods in Engineering (2025) Vol. 126, Iss. 5
Open Access
Enhancing Computational Efficiency of Numerical Simulation for Subsurface Fluid-Induced Deformation Using Deep Learning Reduced Order Models
Elsa Ballini, A. Cominelli, L. Dovera, et al.
SPE Reservoir Simulation Conference (2025)
Closed Access
Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models
Stefania Fresca, Federico Fatone, Andrea Manzoni
Mathematics in Engineering (2023) Vol. 5, Iss. 6, pp. 1-36
Open Access | Times Cited: 10
A new hybrid reduced order modeling for parametrized Navier–Stokes equations in stream-vorticity formulation
Tao Zhang, Hui Xu, Lei Guo, et al.
Physics of Fluids (2024) Vol. 36, Iss. 6
Closed Access | Times Cited: 3
PTPI-DL-ROMs: Pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs
Simone Brivio, Stefania Fresca, Andrea Manzoni
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 432, pp. 117404-117404
Open Access | Times Cited: 3
A super-real-time three-dimension computing method of digital twins in space nuclear power
Enping Zhu, Tao Li, Jinbiao Xiong, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 417, pp. 116444-116444
Closed Access | Times Cited: 6
A predictive surrogate model for hemodynamics and structural prediction in abdominal aorta for different physiological conditions
Xuan Tang, ChaoJie Wu
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107931-107931
Closed Access | Times Cited: 6
A Cost-Efficient Approach towards Computational Fluid Dynamics Simulations on Quantum Devices
Szabolcs Jóczik, Zoltán Zimborás, Tamás Majoros, et al.
Applied Sciences (2022) Vol. 12, Iss. 6, pp. 2873-2873
Open Access | Times Cited: 9
A numerical comparison of simplified Galerkin and machine learning reduced order models for vaginal deformations
William E. Snyder, Alex Santiago Anaya, Justin Krometis, et al.
Computers & Mathematics with Applications (2023) Vol. 152, pp. 168-180
Closed Access | Times Cited: 4
A non-conforming-in-space numerical framework for realistic cardiac electrophysiological outputs
Elena Zappon, Andrea Manzoni, Alfio Quarteroni
Journal of Computational Physics (2024) Vol. 502, pp. 112815-112815
Closed Access | Times Cited: 1
Deep Learning‐Based Reduced Order Models for Cardiac Electrophysiology
Stefania Fresca, Luca Dede’, Andrea Manzoni
(2024), pp. 115-147
Open Access | Times Cited: 1
Data-driven reduced order modeling of a two-layer quasi-geostrophic ocean model
Lander Besabe, Michele Girfoglio, Annalisa Quaini, et al.
Results in Engineering (2024), pp. 103691-103691
Open Access | Times Cited: 1
A localized reduced basis approach for unfitted domain methods on parameterized geometries
Margarita Chasapi, Pablo Antolín, Annalisa Buffa
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 410, pp. 115997-115997
Open Access | Times Cited: 3
Efficient and certified solution of parametrized one-way coupled problems through DEIM-based data projection across non-conforming interfaces
Elena Zappon, Andrea Manzoni, Alfio Quarteroni
Advances in Computational Mathematics (2023) Vol. 49, Iss. 2
Open Access | Times Cited: 3
Simultaneous data assimilation and cardiac electrophysiology model correction using differentiable physics and deep learning
Victoriya Kashtanova, Mihaela Pop, Ibrahim Ayed, et al.
Interface Focus (2023) Vol. 13, Iss. 6
Open Access | Times Cited: 3
Reduced order modeling of the cardiac function across the scales
Ludovica Cicci, Stefania Fresca, Elena Zappon, et al.
Elsevier eBooks (2023), pp. 403-433
Closed Access | Times Cited: 2
A non-intrusive neural network model order reduction algorithm for parameterized parabolic PDEs
Tao Zhang, Hui Xu, Lei Guo, et al.
Computers & Mathematics with Applications (2022) Vol. 119, pp. 59-67
Closed Access | Times Cited: 4
A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces
Elena Zappon, Andrea Manzoni, Paola Gervasio, et al.
Journal of Scientific Computing (2024) Vol. 99, Iss. 1
Closed Access
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