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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:

Transfer learning based physics-informed neural networks for solving inverse problems in engineering structures under different loading scenarios
Xu Chen, Ba Trung Cao, Yong Yuan, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 405, pp. 115852-115852
Open Access | Times Cited: 97

Showing 1-25 of 97 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: 23
Physics-informed deep learning for multi-species membrane separations
Danyal Rehman, John H. Lienhard
Chemical Engineering Journal (2024) Vol. 485, pp. 149806-149806
Closed Access | Times Cited: 23
Differentiable finite element method with Galerkin discretization for fast and accurate inverse analysis of multidimensional heterogeneous engineering structures
Xi Wang, Zhen‐Yu Yin, Wei Wu, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117755-117755
Open Access | Times Cited: 3
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear partial differential equations
Jinshuai Bai, Guirong Liu, Ashish Gupta, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 415, pp. 116290-116290
Open Access | Times Cited: 28
Damage identification for plate structures using physics-informed neural networks
Wei Zhou, Y. F. Xu
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111111-111111
Closed Access | Times Cited: 11
Inverse dynamic design for motion control of soft machines driven by dielectric elastomer actuators
Bo Tao, Kai Luo, Qiang Tian, et al.
International Journal of Mechanical Sciences (2024) Vol. 273, pp. 109213-109213
Closed Access | Times Cited: 11
Physics-Informed neural network solver for numerical analysis in geoengineering
Xiaoxuan Chen, Pin Zhang, Zhen‐Yu Yin
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024) Vol. 18, Iss. 1, pp. 33-51
Open Access | Times Cited: 9
Solving forward and inverse problems of contact mechanics using physics-informed neural networks
Tarık Şahin, Max von Danwitz, Alexander Popp
Advanced Modeling and Simulation in Engineering Sciences (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations
Taniya Kapoor, Hongrui Wang, Alfredo Núñez, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108085-108085
Open Access | Times Cited: 8
A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction
Xu Chen, Ba Trung Cao, Yong Yuan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108156-108156
Open Access | Times Cited: 8
Estimation of load for tunnel lining in elastic soil using physics‐informed neural network
Wang Gan, Qian Fang, J. Wang, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 17, pp. 2701-2718
Open Access | Times Cited: 8
Physics-Informed Machine Learning for metal additive manufacturing
Abdelrahman Farrag, Yuxin Yang, Nieqing Cao, et al.
Progress in Additive Manufacturing (2024)
Closed Access | Times Cited: 8
iPINNs: incremental learning for Physics-informed neural networks
Aleksandr Dekhovich, Marcel H. F. Sluiter, David M. J. Tax, et al.
Engineering With Computers (2024)
Closed Access | Times Cited: 8
Physics-informed Neural Networks (PINN) for computational solid mechanics: Numerical frameworks and applications
Haoteng Hu, Lehua Qi, Xujiang Chao
Thin-Walled Structures (2024) Vol. 205, pp. 112495-112495
Closed Access | Times Cited: 8
Physics informed neural networks for an inverse problem in peridynamic models
Fabio V. Difonzo, L. Lopez, Sabrina Francesca Pellegrino
Engineering With Computers (2024)
Open Access | Times Cited: 7
Interpretable physics-encoded finite element network to handle concentration features and multi-material heterogeneity in hyperelasticity
Xi Wang, Zhen‐Yu Yin
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 431, pp. 117268-117268
Closed Access | Times Cited: 7
Geometry physics neural operator solver for solid mechanics
Chawit Kaewnuratchadasorn, Jiaji Wang, Chul‐Woo Kim, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
Physics informed neural networks for learning the horizon size in bond-based peridynamic models
Fabio V. Difonzo, L. Lopez, Sabrina Francesca Pellegrino
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 436, pp. 117727-117727
Closed Access
Physics-informed neural networks for two-phase film boiling heat transfer
Darioush Jalili, Yasser Mahmoudi
International Journal of Heat and Mass Transfer (2025) Vol. 241, pp. 126680-126680
Open Access
Pre-trained Physics-Informed Neural Networks for Analysis of Contaminant Transport in Soils
Zhenyu Ke, Sheng-Jie Wei, Shi-Yuan Yao, et al.
Computers and Geotechnics (2025) Vol. 180, pp. 107055-107055
Closed Access
1DCNN-based prediction methods for subsequent settlement of subgrade with limited monitoring data
Senlin Xie, Anfeng Hu, Meihui Wang, et al.
European Journal of Environmental and Civil engineering (2025), pp. 1-26
Closed Access
SAM4Tun: No-training model for tunnel lining point cloud component segmentation
Zehao Ye, Wei Lin, Asaad Faramarzi, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106401-106401
Open Access
Reconstruction of vibration noise in plate structures based on Data-Physics driven model and transfer learning
Hualun Zhou, Xiaodong Song, Yue Huang
The Journal of the Acoustical Society of America (2025) Vol. 157, Iss. 1, pp. 579-594
Closed Access
A unified deep learning model for thermoacoustic instability detection in swirl premixed flames based on spatial-temporal features
Xiaojing Li, Chunyu Liu, Dezhi Zhou, et al.
Aerospace Science and Technology (2025), pp. 109994-109994
Closed Access
Autoencoder artificial neural network for accelerated forward and inverse design of locally resonant acoustic metamaterials
Yunpeng Jiang, Zheng Li, Jianwei Ren, et al.
Journal of Applied Physics (2025) Vol. 137, Iss. 5
Open Access
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