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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 deep learning super-resolution model for turbulent image upscaling and its application to shock wave–boundary layer interaction
Filippos Sofos, Dimitris Drikakis, Ioannis W. Kokkinakis, et al.
Physics of Fluids (2024) Vol. 36, Iss. 2
Open Access | Times Cited: 12

Showing 12 citing articles:

Informers for turbulent time series data forecast
Dimitris Drikakis, Ioannis W. Kokkinakis, Daryl L. X. Fung, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Spatial arrangement of near-wall bursting process and large scales in turbulent boundary layer flows
Lijuan Shi, Jin-Hao Zhang, Meng Wang, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Spatiotemporal super-resolution forecasting of high-speed turbulent flows
Filippos Sofos, Dimitris Drikakis, Ioannis W. Kokkinakis, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Enhancing indoor temperature mapping: High-resolution insights through deep learning and computational fluid dynamics
Filippos Sofos, Dimitris Drikakis, Ioannis W. Kokkinakis
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
A novel variational Bayesian deep learning framework for reconstructing the particle image velocity field of pump-jet propulsor
Chengcheng Qiu, Jinping Wu, H. J. Yang, et al.
Ocean Engineering (2025) Vol. 324, pp. 120401-120401
Closed Access
Advancing super-resolution of turbulent velocity fields: An artificial intelligence approach
Filippos Sofos, Dimitris Drikakis, Ioannis W. Kokkinakis
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
From Sparse to Dense Representations in Open Channel Flow Images with Convolutional Neural Networks
Filippos Sofos, George Sofiadis, Efstathios Chatzoglou, et al.
Inventions (2024) Vol. 9, Iss. 2, pp. 27-27
Open Access | Times Cited: 3
Ultra-scaled deep learning temperature reconstruction in turbulent airflow ventilation
Filippos Sofos, Dimitris Drikakis, Ioannis W. Kokkinakis
Physics of Fluids (2024) Vol. 36, Iss. 6
Closed Access | Times Cited: 2
The effects of hyperparameters on deep learning of turbulent signals
Panagiotis Tirchas, Dimitris Drikakis, Ioannis W. Kokkinakis, et al.
Physics of Fluids (2024) Vol. 36, Iss. 12
Closed Access | Times Cited: 1
Comparison of super-resolution deep learning models for flow imaging
Filippos Sofos, Dimitris Drikakis, Ioannis W. Kokkinakis
Computers & Fluids (2024) Vol. 283, pp. 106396-106396
Closed Access
Refining Flow Structures with Deep Learning and Super Resolution Methods
Filippos Sofos, George Sofiadis, Antonios Liakopoulos
(2024), pp. 1-6
Closed Access
Spectrally decomposed denoising diffusion probabilistic models for generative turbulence super-resolution
Muhammad Sohail Sardar, Alex Skillen, Małgorzata J. Zimoń, et al.
Physics of Fluids (2024) Vol. 36, Iss. 11
Closed Access
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