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:

Fast fluid–structure interaction simulation method based on deep learning flow field modeling
Jiawei Hu, Zihao Dou, Weiwei Zhang
Physics of Fluids (2024) Vol. 36, Iss. 4
Open Access | Times Cited: 11

Showing 11 citing articles:

Augmentation of piezoelectric thin-film flapping velocimetry turbulence strength detection via machine learning
Ted Sian Lee, Ean Hin Ooi, Wei Sea Chang, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Open Access

Data-driven modeling of transonic nonlinear flutter via convolutional neural network autoencoder
Zhijie Peng, Xiangjie Yao, Haojie Liu, et al.
Nonlinear Dynamics (2025)
Closed Access

Blast loading prediction in a typical urban environment based on Bayesian deep learning
Weiwen Peng, Meilin Pan, Chunjiang Leng, et al.
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access

A new composite neural network with spatiotemporal features extraction capability for unsteady flow fields predictions
Cheng Xu, Zhengxian Liu, Xiaojian Li
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access

Supersonic Combustion Flow Field Reconstruction in a Scramjet Based on Deep Learning Method
Shicai Huang, Ye Tian, Xue Deng, et al.
Aerospace Science and Technology (2025), pp. 110169-110169
Closed Access

Prediction model of aircraft hinge moment: Compressed sensing based on proper orthogonal decomposition
Q. H. Zhang, Xuan Zhao, Kai Li, et al.
Physics of Fluids (2024) Vol. 36, Iss. 7
Closed Access | Times Cited: 3

A novel attention enhanced deep neural network for hypersonic spatiotemporal turbulence prediction
J. Du, Xin Li, Siwei Dong, et al.
Physics of Fluids (2024) Vol. 36, Iss. 5
Open Access | Times Cited: 3

Fast prediction of propeller dynamic wake based on deep learning
Changming Li, Bingchen Liang, Peng Yuan, et al.
Physics of Fluids (2024) Vol. 36, Iss. 8
Closed Access | Times Cited: 2

Deep learning-based reduced order model for three-dimensional unsteady flow using mesh transformation and stitching
Xin Li, Zhiwen Deng, Rui Feng, et al.
Computers & Fluids (2024), pp. 106441-106441
Closed Access | Times Cited: 2

Research progress of high-speed water entry for trans-media vehicles: State-of-the-art review
Shi-bin Li, Kai An, Wei Huang, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 161, pp. 108453-108453
Closed Access | Times Cited: 2

Analytical solutions for the magneto-fluid–structure interaction dynamics with two degrees of freedom
Jiawei Fu, Ming‐Jiu Ni, Nian-Mei Zhang
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access

Pulsation Analysis of Hose Pumps with Different Roller Counts Based on Two-Way FSI
M. Wang, Lixin Zhang, Wen-Chun Li, et al.
Processes (2024) Vol. 13, Iss. 1, pp. 42-42
Open Access

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