OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Intelligent reconstruction algorithm of hydrogen-fueled scramjet combustor flow based on knowledge distillation model compression
Ye Tian, Gang Wang, Xue Deng, et al.
International Journal of Hydrogen Energy (2023) Vol. 49, pp. 1278-1291
Closed Access | Times Cited: 10

Showing 10 citing articles:

Hybrid neural network-based surrogate model for fast prediction of hydrogen leak consequences in hydrogen refueling station
Xu He, Depeng Kong, Guodong Yang, et al.
International Journal of Hydrogen Energy (2024) Vol. 59, pp. 187-198
Closed Access | Times Cited: 12

A study on flame reconstruction in a supersonic combustor using deep learning
Wanqian Xu, Chih-Hsin Liang, Hongchao Qiu, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access

Research on liquid-kerosene ignition in an axisymmetric variable geometry combustor with a cone-strut flameholder
Huimin Tian, Wanqian Xu, Hangyu Wu, et al.
Applied Thermal Engineering (2025), pp. 125660-125660
Closed Access

Research on intelligent prediction method of supersonic flow field in scramjet based on deep learning: A review
Xue Deng, Ye Tian, Erda Chen, et al.
Expert Systems with Applications (2025), pp. 127500-127500
Closed Access

Temperature field reconstruction of on-orbit aircraft based on multi-source frequency domain information fusion
Ruiying Xiao, Zhiqiang Gong, Yunyang Zhang, et al.
International Journal of Thermal Sciences (2024) Vol. 203, pp. 109140-109140
Closed Access | Times Cited: 1

An attention-neural-processes approach to reconstructing unsteady water load for seaplanes
Junlong Zhang, Huanan Ai, Mingzhen Wang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 9
Closed Access | Times Cited: 1

Evolution prediction of flame structure in a hydrogen-fueled scramjet combustor based on lightweight deformable convolutional residual neural network
Jiawen Deng, Mingming Guo, Erda Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109435-109435
Closed Access | Times Cited: 1

Progress and prospects of artificial intelligence development and applications in supersonic flow and combustion
Jialing Le, Maotao Yang, Mingming Guo, et al.
Progress in Aerospace Sciences (2024), pp. 101046-101046
Closed Access | Times Cited: 1

A generative adversarial network for enhancing over-expansion flow field perception of nozzles with large expansion ratio
Yunfei Li, Wanlin Guo
Aerospace Science and Technology (2024) Vol. 151, pp. 109324-109324
Closed Access | Times Cited: 1

Automatic Recognition of Airliners Wake Turbulence Using Various Techniques of Machine Intelligence
Aziz Al-Mahadin, Mohammad Almajali
Results in Engineering (2024) Vol. 23, pp. 102624-102624
Open Access

Reconstruction of flow structure in a scramjet combustor using a multi-level connected shifted-window transformer
Fan Wu, Liang Meng, Ye Tian, et al.
Physics of Fluids (2024) Vol. 36, Iss. 8
Closed Access

Page 1

Scroll to top