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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:

Finite element interpolated neural networks for solving forward and inverse problems
Santiago Badia, Wei Li, Alberto F. Martı́n
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 418, pp. 116505-116505
Open Access | Times Cited: 12

Showing 12 citing articles:

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
Robust Variational Physics-Informed Neural Networks
Sergio Rojas, Paweł Maczuga, Judit Muñoz‐Matute, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 425, pp. 116904-116904
Open Access | Times Cited: 16
Surrogate modeling of pantograph-catenary system interactions
Cheng Yao, Jingke Yan, Fan Zhang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112134-112134
Closed Access | Times Cited: 11
Adaptive Deep Fourier Residual method via overlapping domain decomposition
Jamie M. Taylor, Manuela Bastidas, Victor M. Calo, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 427, pp. 116997-116997
Open Access | Times Cited: 8
Prediction of total heat exchange factor using an improved particle swarm optimization algorithm for the reheating furnace
Zhi Yang, Xiaochuan Luo, Jinwei Qiao, et al.
International Journal of Thermal Sciences (2025) Vol. 210, pp. 109669-109669
Closed Access | Times Cited: 1
Adaptive finite element interpolated neural networks
Santiago Badia, Wei Li, Alberto F. Martı́n
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117806-117806
Open Access | Times Cited: 1
Deep Ritz - Finite element methods: Neural network methods trained with finite elements
Georgios Grekas, Charalambos Makridakis
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117798-117798
Closed Access
Neural Level Set Topology Optimization Using Unfitted Finite Elements
Connor N. Mallon, Aaron W. Thornton, Matthew R. Hill, et al.
International Journal for Numerical Methods in Engineering (2025) Vol. 126, Iss. 6
Open Access
Inverse solving the Schrödinger equation for precision alignment of a microcavity
Charlie Mattschas, Marius Puplauskis, Chris Toebes, et al.
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access
The lowest-order neural approximated virtual element method on polygonal elements
Stefano Berrone, Moreno Pintore, Gioana Teora
Computers & Structures (2025) Vol. 314, pp. 107753-107753
Open Access
Least-square finite difference-based physics-informed neural network for steady incompressible flows
Yang Xiao, Liming Yang, C. Shu, et al.
Computers & Mathematics with Applications (2024) Vol. 175, pp. 33-48
Closed Access | Times Cited: 4
Compatible finite element interpolated neural networks
Santiago Badia, Wei Li, Alberto F. Martı́n
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 439, pp. 117889-117889
Open Access
Characterizing Parameter Equivalence and Approximation in 1D FEM and ReLU NNs
Ronald Katende, Anna Oleynik, Henry Kasumba, et al.
Research Square (Research Square) (2024)
Open Access
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