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:
Combined space–time reduced-order model with three-dimensional deep convolution for extrapolating fluid dynamics
Indu Kant Deo, Rui Gao, Rajeev K. Jaiman
Physics of Fluids (2023) Vol. 35, Iss. 4
Closed Access | Times Cited: 9
Indu Kant Deo, Rui Gao, Rajeev K. Jaiman
Physics of Fluids (2023) Vol. 35, Iss. 4
Closed Access | Times Cited: 9
Showing 9 citing articles:
A novel framework for predicting active flow control by combining deep reinforcement learning and masked deep neural network
Yangwei Liu, Feitong Wang, Shihang Zhao, et al.
Physics of Fluids (2024) Vol. 36, Iss. 3
Open Access | Times Cited: 19
Yangwei Liu, Feitong Wang, Shihang Zhao, et al.
Physics of Fluids (2024) Vol. 36, Iss. 3
Open Access | Times Cited: 19
A finite element-inspired hypergraph neural network: Application to fluid dynamics simulations
Rui Gao, Indu Kant Deo, Rajeev K. Jaiman
Journal of Computational Physics (2024) Vol. 504, pp. 112866-112866
Open Access | Times Cited: 9
Rui Gao, Indu Kant Deo, Rajeev K. Jaiman
Journal of Computational Physics (2024) Vol. 504, pp. 112866-112866
Open Access | Times Cited: 9
Deep neural network for learning wave scattering and interference of underwater acoustics
Wrik Mallik, Rajeev K. Jaiman, Jasmin Jelovica
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 5
Wrik Mallik, Rajeev K. Jaiman, Jasmin Jelovica
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 5
Towards spatio-temporal prediction of cavitating fluid flow with graph neural networks
Rui Gao, Shayan Heydari, Rajeev K. Jaiman
International Journal of Multiphase Flow (2024) Vol. 177, pp. 104858-104858
Open Access | Times Cited: 3
Rui Gao, Shayan Heydari, Rajeev K. Jaiman
International Journal of Multiphase Flow (2024) Vol. 177, pp. 104858-104858
Open Access | Times Cited: 3
A machine learning architecture for including wave breaking in envelope-type wave models
Yuxuan Liu, Debbie Eeltink, Ton S. van den Bremer, et al.
Ocean Engineering (2024) Vol. 305, pp. 118009-118009
Open Access | Times Cited: 2
Yuxuan Liu, Debbie Eeltink, Ton S. van den Bremer, et al.
Ocean Engineering (2024) Vol. 305, pp. 118009-118009
Open Access | Times Cited: 2
A reduced-order configuration approach for the real-time calculation of three-dimensional flow behavior in a pipe network
Hongjiang Wang, Genghui Jiang, Weizhe Wang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 4
Closed Access | Times Cited: 1
Hongjiang Wang, Genghui Jiang, Weizhe Wang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 4
Closed Access | Times Cited: 1
A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
Rui Gao, Indu Kant Deo, Rajeev K. Jaiman
(2023)
Open Access | Times Cited: 3
Rui Gao, Indu Kant Deo, Rajeev K. Jaiman
(2023)
Open Access | Times Cited: 3
A graphics-accelerated deep neural network approach for turbomachinery flows based on large eddy simulation
Zheming Tong, Jiage Xin, Jiaying Song, et al.
Physics of Fluids (2023) Vol. 35, Iss. 9
Closed Access | Times Cited: 3
Zheming Tong, Jiage Xin, Jiaying Song, et al.
Physics of Fluids (2023) Vol. 35, Iss. 9
Closed Access | Times Cited: 3
A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
Rui Gao, Indu Kant Deo, Rajeev K. Jaiman
arXiv (Cornell University) (2022)
Open Access | Times Cited: 3
Rui Gao, Indu Kant Deo, Rajeev K. Jaiman
arXiv (Cornell University) (2022)
Open Access | Times Cited: 3
