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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:

Solving elastodynamics via physics-informed neural network frequency domain method
Ruihua Liang, Weifeng Liu, Lihui Xu, et al.
International Journal of Mechanical Sciences (2023) Vol. 258, pp. 108575-108575
Closed Access | Times Cited: 15

Showing 15 citing articles:

Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems Using Transfer Learning
Abdul Hannan Mustajab, Hao Lyu, Zarghaam Haider Rizvi, et al.
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3204-3204
Open Access | Times Cited: 6
Hemodynamics modeling with physics-informed neural networks: A progressive boundary complexity approach
Xi Chen, Jianchuan Yang, Xu Liu, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 438, pp. 117851-117851
Closed Access
Transfer Learning-Enhanced Finite Element-Integrated Neural Networks
Ning Zhang, Kunpeng Xu, Zhen‐Yu Yin, et al.
International Journal of Mechanical Sciences (2025), pp. 110075-110075
Open Access
Multi-frequency superposed vortex-induced vibration modeling based on multiple Fourier features physics-informed neural network
Ting Zhang, Rui Yan, Siqian Zhang, et al.
Thin-Walled Structures (2025) Vol. 212, pp. 113159-113159
Closed Access
Physics-driven neural networks for nonlinear micromechanics
Zhihao Xiong, Ping Yang, Pengyang Zhao
International Journal of Mechanical Sciences (2024) Vol. 273, pp. 109214-109214
Closed Access | Times Cited: 4
Finite difference-embedded UNet for solving transcranial ultrasound frequency-domain wavefield
Linfeng Wang, Jian Li, Shili Chen, et al.
The Journal of the Acoustical Society of America (2024) Vol. 155, Iss. 3, pp. 2257-2269
Closed Access | Times Cited: 4
Quantification of gradient energy coefficients using physics-informed neural networks
Lan Shang, Yunhong Zhao, Sizheng Zheng, et al.
International Journal of Mechanical Sciences (2024) Vol. 273, pp. 109210-109210
Closed Access | Times Cited: 3
A residual graph convolutional network for setting initial flow field in computational fluid dynamics simulations
Xiaoyuan Zhang, Guopeng Sun, Peng Zhang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 3
Open Access | Times Cited: 3
Knowledge-dominated and data-driven rigid-flexible coupling dynamics for rotating flexible structure
Jinsong Tang, Linfang Qian, Jia Ma, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111853-111853
Closed Access | Times Cited: 2
Physics-informed deep learning for structural dynamics under moving load
Ruihua Liang, Weifeng Liu, Yuguang Fu, et al.
International Journal of Mechanical Sciences (2024), pp. 109766-109766
Closed Access | Times Cited: 2
Solving seepage equation using physics-informed residual network without labeled data
Shuaijun Lv, Daolun Li, Wenshu Zha, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 418, pp. 116563-116563
Closed Access | Times Cited: 7
Multi-Modal Learning-Based Interval Type-2 Fuzzy Neural Network
Chenxuan Sun, Xiaolong Wu, Hongyan Yang, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 11, pp. 6409-6423
Closed Access
A meshless Runge-Kutta-based Physics-Informed Neural Network framework for structural vibration analysis
Shusheng Xiao, Jinshuai Bai, Hyogu Jeong, et al.
Engineering Analysis with Boundary Elements (2024) Vol. 170, pp. 106054-106054
Closed Access
A generalized physics-driven neural network for micromechanical and microstructural evolution of heterogeneous materials
Zhihao Xiong, Pengyang Zhao
European Journal of Mechanics - A/Solids (2024), pp. 105551-105551
Closed Access
A two-step scaled physics-informed neural network for non-destructive testing of hull rib damage
Xiaoqi Chen, Yongzhen Wang, Qinglei Zeng, et al.
Ocean Engineering (2024) Vol. 319, pp. 120260-120260
Closed Access
Solving Linear Elasticity Problems using Physics-Informed Neural Networks
Petros Kafkas, George Giannakopoulos, Christoforos Rekatsinas
(2024), pp. 1-8
Closed Access
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