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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:

Robust CNN-based flow pattern identification for horizontal gas-liquid pipe flow using flow-induced vibration
Haobin Chen, Zhuoran Dang, Simon Park, et al.
Experimental Thermal and Fluid Science (2023) Vol. 148, pp. 110979-110979
Closed Access | Times Cited: 13

Showing 13 citing articles:

Advances in the modeling of multiphase flows and their application in nuclear engineering—A review
Mengqi Wu, Jinsong Zhang, Nan Gui, et al.
Experimental and Computational Multiphase Flow (2024) Vol. 6, Iss. 4, pp. 287-352
Closed Access | Times Cited: 6
Characterization of the horizontal gas–liquid two-phase flow patterns using acoustic measurement techniques
Nannan Zhao, Jianjun Feng, Guojun Zhu, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Flow-induced vibration and noise in automobile refrigeration system and flow pattern identification under different environmental thermal loads by multilayer perceptron
Xin-Gang Zhu, Qin Zhao, Zhang Longfei, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
Relationship of flow pattern, vibration, and noise in automobile refrigerant system and flow pattern identification based on convolutional neural network
Qin Zhao, Xin-Gang Zhu, Yan-Song He, et al.
Physics of Fluids (2024) Vol. 36, Iss. 9
Closed Access | Times Cited: 3
Measuring solid particles in sand-carrying gas flow using multiscale vibration response statistics and deep learning algorithms
Kai Wang, Ziang Chang, Jiaqi Tian, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111103-111103
Closed Access | Times Cited: 2
Sand particle characterization and identification in annular multiphase flow using an intelligent method
Kai Wang, Jiaqi Tian, Ziang Chang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 1
Closed Access | Times Cited: 2
Review of vibration induced by gas-liquid two-phase flow inside pipes
Lin Ding, Yitong Fu, Xiang Li, et al.
Ocean Engineering (2024) Vol. 316, pp. 120006-120006
Closed Access | Times Cited: 2
Gas–Liquid Two-Phase Flow Measurement Based on Optical Flow Method with Machine Learning Optimization Model
Junxian Wang, Zhenwei Huang, Ya Xu, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3717-3717
Open Access | Times Cited: 1
Investigation on vibration characteristics induced by gas–liquid two-phase flows in a horizontal pipe
Nannan Zhao, Jianjun Feng, Pengcheng Guo, et al.
Physics of Fluids (2024) Vol. 36, Iss. 7
Closed Access | Times Cited: 1
PatchRLNet: A Framework Combining a Vision Transformer and Reinforcement Learning for The Separation of a PTFE Emulsion and Paraffin
Xinxin Wang, Lei Wu, Bingyu Hu, et al.
Electronics (2024) Vol. 13, Iss. 2, pp. 339-339
Open Access
Study on vibration characteristics of the dike crossing pipeline based on EWT and CWT
Jinlin Huang, Ziyu Li, Jianwei Zhang
Heliyon (2024), pp. e37411-e37411
Open Access
Quantitative Assessment of Sand Particulates in Gas-Water Slug Flow Using Deep Learning
K. Wang, Jiaqi Tian, Ziang Chang, et al.
SPE Journal (2024), pp. 1-17
Closed Access
Analysis and Optimization of Fluid Solid Coupling Erosion in Gas Pipeline Based on DPM Model
Mengyi Wang, Yan Chen, Yang Liu, et al.
Journal of Failure Analysis and Prevention (2023) Vol. 23, Iss. 4, pp. 1701-1714
Closed Access | Times Cited: 1
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