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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:

Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics
Saurabh Deshpande, Raúl I. Sosa, Stéphane Bordas, et al.
Frontiers in Materials (2023) Vol. 10
Open Access | Times Cited: 17

Showing 17 citing articles:

MAgNET: A graph U-Net architecture for mesh-based simulations
Saurabh Deshpande, Stéphane Bordas, Jakub Lengiewicz
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108055-108055
Open Access | Times Cited: 14
Mesh-based GNN surrogates for time-independent PDEs
Rini Jasmine Gladstone, Helia Rahmani, Vishvas Suryakumar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
A review on the applications of artificial neural network techniques for accelerating finite element analysis in the civil engineering domain
Sanduni Jayasinghe, Mojtaba Mahmoodian, Azadeh Alavi, et al.
Computers & Structures (2025) Vol. 310, pp. 107698-107698
Open Access | Times Cited: 1
Concurrent multiscale and multi‐material optimization method for natural vibration design of porous structures
Masatoshi SHIMODA, Junpei Fujita, Musaddiq Al Ali, et al.
International Journal for Numerical Methods in Engineering (2024) Vol. 125, Iss. 7
Closed Access | Times Cited: 4
Machine learning-based constitutive modelling for material non-linearity: A review
Arif Hussain, Amir Hosein Sakhaei, Mahmood Shafiee
Mechanics of Advanced Materials and Structures (2024), pp. 1-19
Open Access | Times Cited: 4
Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids
Saurabh Deshpande, Hussein Rappel, Mark Hobbs, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117790-117790
Closed Access
FE2 Computations with Deep Neural Networks: Algorithmic Structure, Data Generation, and Implementation
Hamidreza Eivazi, Jendrik‐Alexander Tröger, Stefan Wittek, et al.
Mathematical and Computational Applications (2023) Vol. 28, Iss. 4, pp. 91-91
Open Access | Times Cited: 8
A graph-based probabilistic geometric deep learning framework with online enforcement of physical constraints to predict the criticality of defects in porous materials
Vasilis Krokos, Stéphane Bordas, Pierre Kerfriden
International Journal of Solids and Structures (2023) Vol. 286-287, pp. 112545-112545
Open Access | Times Cited: 7
Patient-specific in silico 3D coronary model in cardiac catheterisation laboratories
Mojtaba Lashgari, Robin P. Choudhury, Abhirup Banerjee
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access | Times Cited: 2
Coupled thermal-electrical–mechanical characteristics of lightning damage in woven composite honeycomb sandwich structures
Bin Yang, Juhyeong Lee, Yuchen Zhou, et al.
International Journal of Solids and Structures (2024) Vol. 305, pp. 113090-113090
Open Access | Times Cited: 2
A Graph Network-Based Learnable Simulator for Spatial-temporal Prediction of Rigid Projectile Penetration
Beibei Li, Bin Feng, Chen Li
International Journal of Impact Engineering (2024), pp. 105123-105123
Closed Access | Times Cited: 1
The deep finite element method: A deep learning framework integrating the physics-informed neural networks with the finite element method
Wei Xiong, Xiangyun Long, Stéphane Bordas, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 436, pp. 117681-117681
Closed Access | Times Cited: 1
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations
Saurabh Deshpande, Stéphane Bordas, Jakub Lengiewicz
arXiv (Cornell University) (2022)
Open Access | Times Cited: 7
FE² Computations With Deep Neural Networks: Algorithmic Structure, Data Generation, and Implementation
Hamidreza Eivazi, Jendrik‐Alexander Tröger, Stefan Wittek, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 2
A short perspective on a posteriori error control and adaptive discretizations
Roland Becker, Stéphane Bordas, Franz Chouly, et al.
Advances in applied mechanics (2024), pp. 1-36
Open Access
Enhancing Medical Image Segmentation with Attention-Based Recurrent Neural Networks
Rakesh Kumar Dwivedi, Ananya Saha, Meenakshi Sharma
(2024), pp. 1-6
Closed Access
Learning soft tissue deformation from incremental simulations
Nathan Lampen, Daeseung Kim, Xuanang Xu, et al.
Medical Physics (2024)
Closed Access
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