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:

Accelerating intelligent microfluidic image processing with transfer deep learning: A microchannel droplet/bubble breakup case study
Shuyuan Zhang, Haoran Li, Kai Wang, et al.
Separation and Purification Technology (2023) Vol. 315, pp. 123703-123703
Closed Access | Times Cited: 13

Showing 13 citing articles:

A review of microfluidic technology for CO2 sequestration in saline aquifers
Yiyan Zhong, Qi Li, Wenbin Gao, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2025)
Open Access

Numerical simulation study of bubble breakup mechanism in microchannels with V-shaped obstacle
Wenbo Han, X. Wang, Wei Li, et al.
Chemical Engineering and Processing - Process Intensification (2024) Vol. 200, pp. 109791-109791
Closed Access | Times Cited: 5

Bubble breakup in microchannels: A review
Wei Zhang, Shaobai Li, Yu-Huan Ding, et al.
Chemical Engineering Journal (2024) Vol. 485, pp. 149868-149868
Closed Access | Times Cited: 3

Deep Learning Bubble Segmentation on a Shoestring
Tess Homan, N.G. Deen
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 17, pp. 7800-7806
Open Access | Times Cited: 3

BubbleID: A deep learning framework for bubble interface dynamics analysis
Christy Dunlap, Changgen Li, Hari Pandey, et al.
Journal of Applied Physics (2024) Vol. 136, Iss. 1
Open Access | Times Cited: 3

Image encryption algorithm based on COA and hyperchaotic Lorenz system
Xiaofu Qin, Yong Zhang
Nonlinear Dynamics (2024) Vol. 112, Iss. 12, pp. 10611-10632
Closed Access | Times Cited: 2

A deep learning-powered intelligent microdroplet analysis workflow for in-situ monitoring and evaluation of a dynamic emulsion
Jian Liu, Muyang Li, Jingwei Cai, et al.
Chemical Engineering Journal (2024), pp. 155927-155927
Closed Access | Times Cited: 1

Machine Learning-Driven Innovations in Microfluidics
JinSeok Park, Y. Kim, Heeā€Jae Jeon
Biosensors (2024) Vol. 14, Iss. 12, pp. 613-613
Open Access | Times Cited: 1

Critical criterion for droplet breakup in a contractive microchannel
Xinyuan Zou, Wenli Luo, Zhidong Chang, et al.
Experimental Thermal and Fluid Science (2023) Vol. 150, pp. 111034-111034
Closed Access | Times Cited: 2

A Physics-Informed Neural Networks Framework for Multi-Physics Coupling Microfluidic Problems
Runze Sun, Hyogu Jeong, Jiachen Zhao, et al.
(2024)
Closed Access

Behind the Non-Uniform Breakup of Bubble Slug in Y-Shaped Microchannel: Dynamics and Mechanisms
Haoxiang Huang, Jiazheng Liu, Jialing Yu, et al.
Micromachines (2024) Vol. 15, Iss. 6, pp. 695-695
Open Access

A physics-informed neural network framework for multi-physics coupling microfluidic problems
Runze Sun, Hyogu Jeong, Jiachen Zhao, et al.
Computers & Fluids (2024) Vol. 284, pp. 106421-106421
Open Access

Prospective on applying machine learning in computational fluid dynamics (CFD) simulation of metallurgical reactors
Yuhong Liu, Jiangshan Zhang, Shufeng Yang, et al.
Ironmaking & Steelmaking Processes Products and Applications (2024)
Closed Access

Microfluidic Nanoparticle Separation for Precision Medicine
Zhenwei Lan, Rui Chen, Da Zou, et al.
Advanced Science (2024)
Closed Access

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