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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:

A Variational Formulation of Physics-Informed Neural Network for the Applications of Homogeneous and Heterogeneous Material Properties Identification
Chuang Liu, Heng An Wu
International Journal of Applied Mechanics (2023) Vol. 15, Iss. 08
Closed Access | Times Cited: 11

Showing 11 citing articles:

Reduced and All-at-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics
Ulrich Römer, Stefan Hartmann, Jendrik‐Alexander Tröger, et al.
Applied Mechanics Reviews (2024), pp. 1-51
Open Access | Times Cited: 7
Spatial tuning of the positive and negative Poisson's ratio of metamaterials through gradient design
XiangLong Zhou, Xian Liu, Aiguo Zhao, et al.
Thin-Walled Structures (2024) Vol. 205, pp. 112382-112382
Closed Access | Times Cited: 5
A physics-informed neural network framework for laminated composite plates under bending
Weixi Wang, Huu‐Tai Thai
Thin-Walled Structures (2025), pp. 113014-113014
Open Access
Continuous High-Throughput Characterization of Mechanical Properties via Deep Learning
Guohua Zhu, Xueyan Hu, Rui‐Ying Bao, et al.
International Journal of Mechanical Sciences (2025), pp. 110137-110137
Closed Access
Machine learning guided design of mechanically efficient metamaterials with auxeticity
Qing Zhou, Aiguo Zhao, Han Wang, et al.
Materials Today Communications (2024) Vol. 39, pp. 108944-108944
Closed Access | Times Cited: 2
Variational temporal convolutional networks for I-FENN thermoelasticity
Diab W. Abueidda, Mostafa E. Mobasher
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 429, pp. 117122-117122
Open Access | Times Cited: 1
Inverse design of growth-inspired irregular architected materials for programmable properties
YuHeng Zhou, YaoFu Zheng, YiQi Zhang, et al.
Extreme Mechanics Letters (2024) Vol. 70, pp. 102196-102196
Closed Access | Times Cited: 1
A transfer learning enhanced physics-informed neural network for parameter identification in soft materials
Jing’ang Zhu, Yiheng Xue, Zishun Liu
Applied Mathematics and Mechanics (2024) Vol. 45, Iss. 10, pp. 1685-1704
Closed Access | Times Cited: 1
Deep Learning Accelerated Design of Bézier Curve-Based Cellular Metamaterials with Target Properties
Chuang Liu, HengAn Wu
International Journal of Applied Mechanics (2024) Vol. 16, Iss. 07
Closed Access
Transfer Learning Enhanced Physics-Informed Neural Networks for Parameter Identification in Soft Materials
Jing-Ang Zhu, Yiheng Xue, Zishun Liu
(2024)
Closed Access
基于物理信息神经网络的非均质材料力学研究进展
Congjian Lin, Junbin Lou, Yixuan Li, et al.
Chinese Science Bulletin (Chinese Version) (2024) Vol. 69, Iss. 34, pp. 4967-4982
Closed Access
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