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:
Time-averaged flow field reconstruction based on a multifidelity model using physics-informed neural network (PINN) and nonlinear information fusion
En-Ze Rui, Guang-Zhi Zeng, Yi‐Qing Ni, et al.
International Journal of Numerical Methods for Heat & Fluid Flow (2023) Vol. 34, Iss. 1, pp. 131-149
Open Access | Times Cited: 7
En-Ze Rui, Guang-Zhi Zeng, Yi‐Qing Ni, et al.
International Journal of Numerical Methods for Heat & Fluid Flow (2023) Vol. 34, Iss. 1, pp. 131-149
Open Access | Times Cited: 7
Showing 7 citing articles:
A Deep Learning Method for Non-Uniform Flow Field Based on KAN and MLP Neural Networks
YuanGao, XinWang
Research Square (Research Square) (2025)
Closed Access
YuanGao, XinWang
Research Square (Research Square) (2025)
Closed Access
Fisher’s information matrix approach for Fourier features physics-informed neural networks for two-dimensional local time-fractional anomalous diffusion equations with nonlinear thermal diffusivity
Navnit Jha, Ekansh Mallik
International Journal of Numerical Methods for Heat & Fluid Flow (2025)
Closed Access
Navnit Jha, Ekansh Mallik
International Journal of Numerical Methods for Heat & Fluid Flow (2025)
Closed Access
Innovative sparse data reconstruction approaches for yawed wind turbine wake flow via data-driven and physics-informed machine learning
Zhaohui Luo, Longyan Wang, Yanxia Fu, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Zhaohui Luo, Longyan Wang, Yanxia Fu, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
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
Xue Deng, Ye Tian, Erda Chen, et al.
Expert Systems with Applications (2025), pp. 127500-127500
Closed Access
A Novel Approach for Identifying Rotational Stiffness of Semirigid Joints by Physics-Informed Neural Networks
Weijia Zhang, Yi‐Qing Ni, Sumei Wang, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 4
Closed Access
Weijia Zhang, Yi‐Qing Ni, Sumei Wang, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 4
Closed Access
Physics-informed neural networks (P INNs): application categories, trends and impact
Mohammad Ghalambaz, Mikhail А. Sheremet, Mohammed Arshad Khan, et al.
International Journal of Numerical Methods for Heat & Fluid Flow (2024) Vol. 34, Iss. 8, pp. 3131-3165
Closed Access | Times Cited: 3
Mohammad Ghalambaz, Mikhail А. Sheremet, Mohammed Arshad Khan, et al.
International Journal of Numerical Methods for Heat & Fluid Flow (2024) Vol. 34, Iss. 8, pp. 3131-3165
Closed Access | Times Cited: 3
Machine Learning-Driven Interface Engineering for Enhanced Microwave Absorption in MXene Films
Haowei Zhou, Li Xiao, Zhaochen Xi, et al.
Materials Today Physics (2024), pp. 101640-101640
Closed Access
Haowei Zhou, Li Xiao, Zhaochen Xi, et al.
Materials Today Physics (2024), pp. 101640-101640
Closed Access
