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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 hybrid reduced-order model combing deep learning for unsteady flow
Xuyi Jia, Chunna Li, Wen Ji, et al.
Physics of Fluids (2022) Vol. 34, Iss. 9
Closed Access | Times Cited: 13

Showing 13 citing articles:

An accuracy-enhanced transonic flow prediction method fusing deep learning and a reduced-order model
Xuyi Jia, Chunlin Gong, Wen Ji, et al.
Physics of Fluids (2024) Vol. 36, Iss. 5
Open Access | Times Cited: 9
Physics-assisted multi-scale convolutional autoencoder for turbulence reduced-order modeling
M. Lu, Z. G. Ye, Lan Qiao, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
A data-driven reduced-order model framework for predicting turbulent channel flows
Shi Yang, Zhou Jiang, Jianchun Wang, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
An enhanced temperature field inversion model by POD-BPNN-GA method for a 3D wing with limited sensors
Jiaxin Hu, Jian‐Jun Gou, Chunlin Gong
International Communications in Heat and Mass Transfer (2025) Vol. 164, pp. 108778-108778
Closed Access
On reduced-order modeling of gas–solid flows using deep learning
Shuo Li, Guangtao Duan, Mikio Sakai
Physics of Fluids (2024) Vol. 36, Iss. 3
Open Access | Times Cited: 4
Data-driven prediction of cylinder-induced unsteady wake flow
Shicheng Li, James Yang, Penghua Teng
Applied Ocean Research (2024) Vol. 150, pp. 104114-104114
Open Access | Times Cited: 2
Non-intrusive, transferable model for coupled turbulent channel-porous media flow based upon neural networks
Xu Chu, Sandeep Pandey
Physics of Fluids (2024) Vol. 36, Iss. 2
Open Access | Times Cited: 2
Reduced-order model and attractor identification for large eddy simulation of squirrel cage fan
Qianhao Xiao, Boyan Jiang, Xiaopei Yang, et al.
Physics of Fluids (2023) Vol. 35, Iss. 11
Closed Access | Times Cited: 6
Feasibility Analysis of a POD-Based Reduced Order Model with Application in Eulerian–Lagrangian Simulations
Guangtao Duan, Shuo Li, Mikio Sakai
Industrial & Engineering Chemistry Research (2023) Vol. 63, Iss. 1, pp. 780-796
Closed Access | Times Cited: 6
Flow sensing method for fluid-structure interaction systems via multilayer proper orthogonal decomposition
Xuyi Jia, Chunlin Gong, Wen Ji, et al.
Journal of Fluids and Structures (2023) Vol. 124, pp. 104023-104023
Open Access | Times Cited: 4
Unsteady Aerodynamic Prediction Using Limited Samples Based on Transfer Learning
Wen Ji, Xueyuan Sun, Chunna Li, et al.
Lecture notes in electrical engineering (2024), pp. 986-995
Closed Access
Development of a Reduced Order Model using a Deep Learning-based Manifold-Augmented Approach
Seongwoo Cheon, Hye-Jin Kim, Seokhee Ryu, et al.
Journal of the Computational Structural Engineering Institute of Korea (2024) Vol. 37, Iss. 5, pp. 337-344
Open Access
An accuracy-enhanced transonic flow prediction method fusing deep learning and reduced-order model
Xuyi Jia, Chunlin Gong, Wen Ji, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
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