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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:

High-throughput microfluidic systems accelerated by artificial intelligence for biomedical applications
Jianhua Zhou, Jianpei Dong, Hongwei Hou, et al.
Lab on a Chip (2024) Vol. 24, Iss. 5, pp. 1307-1326
Open Access | Times Cited: 14

Showing 14 citing articles:

Integrating machine learning and biosensors in microfluidic devices: A review
Gianni Antonelli, Joanna Filippi, Michele D’Orazio, et al.
Biosensors and Bioelectronics (2024) Vol. 263, pp. 116632-116632
Open Access | Times Cited: 7
Use of Nicotinamide Mononucleotide as Non-Natural Cofactor
Tahseena Naaz, Beom Soo Kim
Catalysts (2025) Vol. 15, Iss. 1, pp. 37-37
Open Access
Advancing microfluidic design with machine learning: a Bayesian optimization approach
Ivana Kundačina, Ognjen Kundačina, Dragiša Mišković, et al.
Lab on a Chip (2025)
Open Access
A review on recent advances of AI-integrated microfluidics for analytical and bioanalytical applications
Elham Asadian, Farshad Bahramian, Saeed Siavashy, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 181, pp. 118004-118004
Closed Access | Times Cited: 3
Artificial Intelligence Performance in Testing Microfluidics for Point-of-Care
Mert Tunca Doganay, Purbali Chakraborty, Sri Moukthika Bommakanti, et al.
Lab on a Chip (2024)
Open Access | Times Cited: 1
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
Envisioning the Future of High-Throughput Biomedical Assays through the Convergence of AI and Droplet Microfluidics
Yuanyuan Wei, Ho‐Pui Ho
Journal of Biomedical Research & Environmental Sciences (2024) Vol. 5, Iss. 3, pp. 233-236
Open Access
Artificial Intelligence Performance in Testing Microfluidics for Point-of-care
Mert Tunca Doganay, Purbali Chakraborty, Sri Moukthika, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Research on the Method of Detecting TPN-Labeled Tumor Cells in Pleural Effusion Based on the Microfluidic Chip
Xiaoyi Xun, Shuang Song, Yiran Luan, et al.
Micromachines (2024) Vol. 15, Iss. 8, pp. 981-981
Open Access
Microfluidic Synthesis of Magnetic Nanoparticles for Biomedical Applications
Yunru Yu, Changqing Zhang, Xin Yang, et al.
Small Methods (2024)
Open Access
Integrating Artificial Intelligence and Microfluidics Technology for Psoriasis Therapy: A Comprehensive Review for Research and Clinical Applications
Ibrahim Shaw, Yimer Seid Ali, Nie Changhong, et al.
Advanced Intelligent Systems (2024)
Closed Access
Transformative Laboratory Medicine Enabled by Microfluidic Automation and Artificial Intelligence
Pijiang Huang, Huaize Lan, Binyao Liu, et al.
Biosensors and Bioelectronics (2024) Vol. 271, pp. 117046-117046
Closed Access
Utilizing framework nucleic acids for integrated nano-micro interface system in circulating tumor cells (CTCs) detection, cultivation, and single-cell analysis
Qian Chen, Jie Su, Xiaojun Bian, et al.
Advanced Sensor and Energy Materials (2024), pp. 100131-100131
Open Access
Polymer Solutions in Microflows: Tracking and Control over Size Distribution
Artem Bezrukov, Yu. G. Galyametdinov
Polymers (2024) Vol. 17, Iss. 1, pp. 28-28
Open Access
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