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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:

Deep learning-based reduced order models in cardiac electrophysiology
Stefania Fresca, Andrea Manzoni, Luca Dede’, et al.
PLoS ONE (2020) Vol. 15, Iss. 10, pp. e0239416-e0239416
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition
Stefania Fresca, Andrea Manzoni
Computer Methods in Applied Mechanics and Engineering (2021) Vol. 388, pp. 114181-114181
Open Access | Times Cited: 179
Deep learning in computational mechanics: a review
Leon Herrmann, Stefan Kollmannsberger
Computational Mechanics (2024) Vol. 74, Iss. 2, pp. 281-331
Open Access | Times Cited: 28
Multi-fidelity surrogate modeling using long short-term memory networks
Paolo Conti, Mengwu Guo, Andrea Manzoni, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 404, pp. 115811-115811
Open Access | Times Cited: 45
Deep learning methods for partial differential equations and related parameter identification problems
Derick Nganyu Tanyu, Jianfeng Ning, Tom Freudenberg, et al.
Inverse Problems (2023) Vol. 39, Iss. 10, pp. 103001-103001
Open Access | Times Cited: 26
Colloquium: Eigenvector continuation and projection-based emulators
T. Duguet, A. Ekström, R. J. Furnstahl, et al.
Reviews of Modern Physics (2024) Vol. 96, Iss. 3
Closed Access | Times Cited: 10
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: 9
Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function
Marco Fedele, Alfio Quarteroni
International Journal for Numerical Methods in Biomedical Engineering (2021) Vol. 37, Iss. 4
Open Access | Times Cited: 53
An AI-based non-intrusive reduced-order model for extended domains applied to multiphase flow in pipes
Claire E. Heaney, Z. Wolffs, Jon Tomasson, et al.
Physics of Fluids (2022) Vol. 34, Iss. 5
Open Access | Times Cited: 32
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
Deep learning‐based reduced order models for the real‐time simulation of the nonlinear dynamics of microstructures
Stefania Fresca, Giorgio Gobat, Patrick Fedeli, et al.
International Journal for Numerical Methods in Engineering (2022) Vol. 123, Iss. 20, pp. 4749-4777
Open Access | Times Cited: 30
EP-PINNs: Cardiac Electrophysiology Characterisation Using Physics-Informed Neural Networks
Clara Herrero Martin, Alon Oved, Rasheda A. Chowdhury, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 8
Open Access | Times Cited: 30
Real-Time Simulation of Parameter-Dependent Fluid Flows through Deep Learning-Based Reduced Order Models
Stefania Fresca, Andrea Manzoni
Fluids (2021) Vol. 6, Iss. 7, pp. 259-259
Open Access | Times Cited: 37
Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks
Matteo Salvador, Luca Dede’, Andrea Manzoni
Computers & Mathematics with Applications (2021) Vol. 104, pp. 1-13
Open Access | Times Cited: 36
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
Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs
Ludovica Cicci, Stefania Fresca, Andrea Manzoni
Journal of Scientific Computing (2022) Vol. 93, Iss. 2
Open Access | Times Cited: 27
A comprehensive numerical investigation of a coupled mathematical model of neuronal excitability
Burcu Gürbüz, Aytül Gökçe, Mahmut Modanlı
International Journal of Computer Mathematics (2025), pp. 1-18
Open Access
Whole-heart ventricular arrhythmia modeling moving forward: Mechanistic insights and translational applications
Eric Sung, Sevde Etoz, Yingnan Zhang, et al.
Biophysics Reviews (2021) Vol. 2, Iss. 3
Open Access | Times Cited: 28
A POD-NN methodology to determine in vivo mechanical properties of soft tissues. Application to human cornea deformed by Corvis ST test
Elena Redaelli, Begoña Calvo, José Félix Rodríguez Matas, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109792-109792
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: 9
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
Mapping of coherent structures in parameterized flows by learning optimal transportation with Gaussian models
Angelo Iollo, Tommaso Taddei
Journal of Computational Physics (2022) Vol. 471, pp. 111671-111671
Open Access | Times Cited: 15
Model order reduction method based on (r)POD-ANNs for parameterized time-dependent partial differential equations
Fangxiong Cheng, Hui Xu, Xinlong Feng
Computers & Fluids (2022) Vol. 241, pp. 105481-105481
Closed Access | Times Cited: 14
Efficient approximation of cardiac mechanics through reduced‐order modeling with deep learning‐based operator approximation
Ludovica Cicci, Stefania Fresca, Andrea Manzoni, et al.
International Journal for Numerical Methods in Biomedical Engineering (2023) Vol. 40, Iss. 1
Open Access | Times Cited: 8
Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches
Giorgio Gobat, Stefania Fresca, Andrea Manzoni, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3001-3001
Open Access | Times Cited: 7
Fast Characterization of Inducible Regions of Atrial Fibrillation Models With Multi-Fidelity Gaussian Process Classification
Lia Gander, Simone Pezzuto, Ali Gharaviri, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 12
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