
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 of unsteady combustion flow field of scramjet based on physical information constraints
Xue Deng, Mingming Guo, Yi Zhang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 7
Closed Access | Times Cited: 4
Xue Deng, Mingming Guo, Yi Zhang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 7
Closed Access | Times Cited: 4
Showing 4 citing articles:
An interpretable Dahl-LRN neural-network for accurately modelling the systems with rate-dependent asymmetric hysteresis
Lei Ni, Hongfei Wang, Guoqiang Chen, et al.
Applied Soft Computing (2025), pp. 112936-112936
Closed Access | Times Cited: 3
Lei Ni, Hongfei Wang, Guoqiang Chen, et al.
Applied Soft Computing (2025), pp. 112936-112936
Closed Access | Times Cited: 3
FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames
Jiahao Wu, Su Zhang, Yuxin Wu, et al.
Combustion and Flame (2025) Vol. 273, pp. 113964-113964
Closed Access | Times Cited: 2
Jiahao Wu, Su Zhang, Yuxin Wu, et al.
Combustion and Flame (2025) Vol. 273, pp. 113964-113964
Closed Access | Times Cited: 2
Spatiotemporal reconstruction of unsteady bridge flow field via hierarchical graph neural networks with causal attention
Chenzhi Cai, Jun Xiao, Yunfeng Zou, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access | Times Cited: 1
Chenzhi Cai, Jun Xiao, Yunfeng Zou, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
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: 5
Jialing Le, Maotao Yang, Mingming Guo, et al.
Progress in Aerospace Sciences (2024), pp. 101046-101046
Closed Access | Times Cited: 5