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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:

Improved deep learning method for accurate flow field reconstruction from sparse data
Jinsong Zhang, Jian Liu, Zhenwei Huang
Ocean Engineering (2023) Vol. 280, pp. 114902-114902
Closed Access | Times Cited: 16

Showing 16 citing articles:

Numerical investigation on cavitation and induced noise reduction mechanisms of a three-dimensional hydrofoil with leading-edge protuberances
Chen Yang, Jinsong Zhang, Zhenwei Huang
Physics of Fluids (2024) Vol. 36, Iss. 5
Closed Access | Times Cited: 9
Cavitation flow and noise reduction design of bionic hydrofoil based on orthogonal optimization
Jinsong Zhang, Xinlong Wang, Chen Yang, et al.
Physics of Fluids (2023) Vol. 35, Iss. 11
Open Access | Times Cited: 16
Transition of counter-rotating plasma-induced vortices into a jet
Lei Dong, Wenqiang Zhang, Jie Ren, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Sparse learning model with embedded RIP conditions for turbulence super-resolution reconstruction
Qinyi Huang, Wei Zhu, Feng Ma, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 425, pp. 116965-116965
Closed Access | Times Cited: 2
Exploring cavitation dynamics and noise reduction in hydraulic machinery with bionic leading edge impeller
Jinsong Zhang, Wenqian Xi, Jiaxian Tang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 9
Closed Access | Times Cited: 2
Investigation on the flow and induced-noise mechanism during the transient start-up process of a mixed-flow pump
Jinsong Zhang, Xinlong Wang, Chen Yang, et al.
Engineering Computations (2024) Vol. 41, Iss. 3, pp. 727-754
Closed Access | Times Cited: 1
Super-resolution reconstruction of wind fields with a swin-transformer-based deep learning framework
Lingxiao Tang, Chao Li, Zihan Zhao, et al.
Physics of Fluids (2024) Vol. 36, Iss. 12
Closed Access | Times Cited: 1
Investigation on the pressure and flow characteristics for a high-speed bullet in high-altitude flight
Z.F. Wang, Jinsong Zhang, Qiang Sheng, et al.
Results in Engineering (2023) Vol. 20, pp. 101443-101443
Open Access | Times Cited: 2
A deep-learning-based compact method for accelerating the electrowetting lattice Boltzmann simulations
Zijian Zhuang, Qin Xu, H. Zeng, et al.
Physics of Fluids (2024) Vol. 36, Iss. 4
Closed Access
Super resolution reconstruction of background oriented schlieren displacement field based on the convolution neural network with the gradient loss function
Xiangyu Wang, Hui Wang, Ning Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106002-106002
Closed Access
Flow field reconstruction of trash rack based on generative adversarial networks
Ganggui Guo, Yakun Liu, Di Zhang, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 8, pp. 2070-2084
Closed Access
Deep learning approach for downscaling the significant wave height based on CBAM_CGAN
Miao Yu, Zhifeng Wang, Dalei Song, et al.
Ocean Engineering (2024) Vol. 312, pp. 119169-119169
Closed Access
A Novel Low-quality Raman Hyperspectral Image Reconstruction Method for Corn Component Mapping
Si Xia, Site Lv, Shan Zeng, et al.
Journal of Food Composition and Analysis (2024), pp. 106770-106770
Closed Access
Robust sensor selection based on maximum correntropy criterion for ocean data reconstruction
Qiannan Zhang, Huafeng Wu, Linian Liang, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access
Multi-physical fields prediction model for turbine cascades based on physical information neural networks
Lele Li, Weihao Zhang, Ya Li, et al.
Aerospace Science and Technology (2024) Vol. 155, pp. 109709-109709
Closed Access
An Autoencoder‐Based Deep‐Learning Method for Augmenting the Sensing Capability of Piezoelectric Microelectromechanical System Sensors in a Fluid‐Dynamic System
Mohammadrahim Kazemzadeh, Iman Mehdipour, Massimo De Vittorio, et al.
Advanced Intelligent Systems (2023) Vol. 6, Iss. 3
Open Access
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