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:
High-accuracy recognition of gas–liquid two-phase flow patterns: A Flow–Hilbert–CNN hybrid model
Pan Zhang, Xuewen Cao, Fangyu Peng, et al.
Geoenergy Science and Engineering (2023) Vol. 230, pp. 212206-212206
Closed Access | Times Cited: 7
Pan Zhang, Xuewen Cao, Fangyu Peng, et al.
Geoenergy Science and Engineering (2023) Vol. 230, pp. 212206-212206
Closed Access | Times Cited: 7
Showing 7 citing articles:
A hybrid deep learning model towards flow pattern identification of gas-liquid two-phase flows in horizontal pipe
Tingxia Ma, Tianxin Wang, Lin Wang, et al.
Energy (2025), pp. 135141-135141
Closed Access | Times Cited: 1
Tingxia Ma, Tianxin Wang, Lin Wang, et al.
Energy (2025), pp. 135141-135141
Closed Access | Times Cited: 1
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
Xin-Gang Zhu, Qin Zhao, Zhang Longfei, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
Comparative Prediction of Pressure and Velocity in 3D Flow Field Based on Neural Networks
Xiumei Liu, Su Wu, Beibei Li, et al.
Flow Measurement and Instrumentation (2025), pp. 102890-102890
Closed Access
Xiumei Liu, Su Wu, Beibei Li, et al.
Flow Measurement and Instrumentation (2025), pp. 102890-102890
Closed Access
Interpretable machine learning for three-phase flow pressure drop prediction: A comparative study with CFD and empirical models
Muhammad Waqas Yaqub, Xizhong Chen
Chemical Engineering Science (2025), pp. 121542-121542
Closed Access
Muhammad Waqas Yaqub, Xizhong Chen
Chemical Engineering Science (2025), pp. 121542-121542
Closed Access
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: 3
Lin Ding, Yitong Fu, Xiang Li, et al.
Ocean Engineering (2024) Vol. 316, pp. 120006-120006
Closed Access | Times Cited: 3
Spherical Cap Bubbles Flow Regime Classifications: Conventional, Computational Fluid Dynamics, and Convolutional Neural Network (Scbnet) Approaches
Eric Thompson Brantson, M. Abdulkadir, Emmanuel I. Epelle, et al.
(2024)
Closed Access
Eric Thompson Brantson, M. Abdulkadir, Emmanuel I. Epelle, et al.
(2024)
Closed Access
Comparative Prediction of Pressure and Velocity in 3d Flow Field Based on Neural Networks
Xiumei Liu, Su Wu, Beibei Li, et al.
(2024)
Closed Access
Xiumei Liu, Su Wu, Beibei Li, et al.
(2024)
Closed Access
