Open Access Helper

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 comprehensive deep learning geometric shape optimization framework with field prediction surrogate and reinforcement learning
Hao Ma, Jianing Liu, Mai Ye, et al.
Physics of Fluids (2024) Vol. 36, Iss. 4
Closed Access | Times Cited: 4

Showing 4 citing articles:

DRLinSPH: an open-source platform using deep reinforcement learning and SPHinXsys for fluid-structure-interaction problems
Mai Ye, Hao Ma, Yaru Ren, et al.
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access
Aerodynamic force prediction of compressor blade surfaces based on machine learning
Yan Niu, Kainuo Zhao, Minghui Yao, et al.
Physics of Fluids (2024) Vol. 36, Iss. 8
Closed Access | Times Cited: 1
Deep Reinforcement Learning for Fluid Mechanics: Control, Optimization, and Automation
Innyoung Kim, Youngmin Jeon, Jonghyun Chae, et al.
Fluids (2024) Vol. 9, Iss. 9, pp. 216-216
Open Access
Deep Learning-Enhanced Aerodynamics Design of High-Load Compressor Cascade at Low Reynolds numbers
Huafeng Xu, Shengfeng Zhao, Mingyang Wang, et al.
Aerospace Science and Technology (2024), pp. 109775-109775
Closed Access
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