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:

Reinforcement-Learning designs droplet microfluidic networks
Mohammad Shahab, Raghunathan Rengaswamy
Computers & Chemical Engineering (2022) Vol. 161, pp. 107787-107787
Closed Access | Times Cited: 9

Showing 9 citing articles:

Machine learning for microfluidic design and control
David McIntyre, Ali Lashkaripour, Polly M. Fordyce, et al.
Lab on a Chip (2022) Vol. 22, Iss. 16, pp. 2925-2937
Open Access | Times Cited: 75

AI-enhanced biomedical micro/nanorobots in microfluidics
Hui Dong, Jiawen Lin, Yihui Tao, et al.
Lab on a Chip (2024) Vol. 24, Iss. 5, pp. 1419-1440
Open Access | Times Cited: 13

Microsystem Advances through Integration with Artificial Intelligence
Hsieh‐Fu Tsai, Soumyajit Podder, Pin‐Yuan Chen
Micromachines (2023) Vol. 14, Iss. 4, pp. 826-826
Open Access | Times Cited: 17

Machine learning enhanced droplet microfluidics
Claire M. Barnes, Ashish R. Sonwane, Eva C. Sonnenschein, et al.
Physics of Fluids (2023) Vol. 35, Iss. 9
Open Access | Times Cited: 6

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

Deep reinforcement learning-based digital twin for droplet microfluidics control
Nafisat Gyimah, Ott Scheler, Toomas Rang, et al.
Physics of Fluids (2023) Vol. 35, Iss. 8
Closed Access | Times Cited: 2

Convergence of machine learning with microfluidics and metamaterials to build smart materials
Prateek Mittal, Krishnadas Narayanan Nampoothiri, Abhishek Jha, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024) Vol. 18, Iss. 10, pp. 6909-6917
Open Access

Design of microfluidic chromatographs through reinforcement learning
Mohammad Shahab, Raghunathan Rengaswamy
Digital Chemical Engineering (2024) Vol. 10, pp. 100141-100141
Open Access

Data-driven models for microfluidics: A short review
Chang Yu, Qichen Shang, Zifei Yan, et al.
Biomicrofluidics (2024) Vol. 18, Iss. 6
Closed Access

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