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 novel inverse design method for morphing airfoil based on deep reinforcement learning
Jing Su, Gang Sun, Jun Tao
Aerospace Science and Technology (2024) Vol. 145, pp. 108895-108895
Closed Access | Times Cited: 7

Showing 7 citing articles:

Recent Advancements in Morphing Applications: Architecture, Artificial Intelligence Integration, Challenges, and Future Trends- A Comprehensive Survey
Md. Najmul Mowla, Davood Asadi, Tahir Durhasan, et al.
Aerospace Science and Technology (2025) Vol. 161, pp. 110102-110102
Open Access | Times Cited: 1

A Mission Planning Method for Deep Space Detectors Using Deep Reinforcement Learning
Yuheng Qi, Defeng Gu, Yuan Liu, et al.
Aerospace Science and Technology (2024) Vol. 153, pp. 109417-109417
Closed Access | Times Cited: 4

Rapid airfoil design based on ellipse direct method and prediction model
Zhen Wang, Yuan Qi, Yi Zhu, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access

Analysis of virtual profiles of rotor sections and loss of angle of attack in hovering state
Guoqing Zhao, Simeng Jing, Qijun Zhao, et al.
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering (2025)
Closed Access

Attention-Based Multi-Objective Control for Morphing Aircraft
Qien Fu, Changyin Sun
Biomimetics (2025) Vol. 10, Iss. 5, pp. 280-280
Open Access

Leveraging deep reinforcement learning for design space exploration with multi-fidelity surrogate model
Haokun Li, Ru Wang, Zuoxu Wang, et al.
Journal of Engineering Design (2024), pp. 1-40
Closed Access | Times Cited: 1

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