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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:

Intelligent Microfluidics: The Convergence of Machine Learning and Microfluidics in Materials Science and Biomedicine
Edgar A. Galan, Haoran Zhao, Xukang Wang, et al.
Matter (2020) Vol. 3, Iss. 6, pp. 1893-1922
Open Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

Fabrication and Applications of Microfluidic Devices: A Review
Adelina-Gabriela Niculescu, Cristina Chircov, Alexandra Cătălina Bîrcă, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 4, pp. 2011-2011
Open Access | Times Cited: 409
Machine Learning‐Reinforced Noninvasive Biosensors for Healthcare
Kaiyi Zhang, Jianwu Wang, Tianyi Liu, et al.
Advanced Healthcare Materials (2021) Vol. 10, Iss. 17
Open Access | Times Cited: 103
Emergence of microfluidics for next generation biomedical devices
Subham Preetam, Bishal Kumar Nahak, Santanu Patra, et al.
Biosensors and Bioelectronics X (2022) Vol. 10, pp. 100106-100106
Open Access | Times Cited: 99
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: 74
Janus smart materials with asymmetrical wettability for on-demand oil/water separation: a comprehensive review
Jingling Gong, Bin Xiang, Yuqing Sun, et al.
Journal of Materials Chemistry A (2023) Vol. 11, Iss. 46, pp. 25093-25114
Closed Access | Times Cited: 58
Organ-on-a-chip meets artificial intelligence in drug evaluation
Shiwen Deng, Caifeng Li, Junxian Cao, et al.
Theranostics (2023) Vol. 13, Iss. 13, pp. 4526-4558
Open Access | Times Cited: 44
Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0
Xing Quan Wang, Pengguang Chen, Cheuk Lun Chow, et al.
Matter (2023) Vol. 6, Iss. 6, pp. 1831-1859
Open Access | Times Cited: 43
Recent developments and future perspectives of microfluidics and smart technologies in wearable devices
Sasikala Apoorva, Nam‐Trung Nguyen, Kamalalayam Rajan Sreejith
Lab on a Chip (2024) Vol. 24, Iss. 7, pp. 1833-1866
Open Access | Times Cited: 15
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: 13
Explainable AI models for predicting drop coalescence in microfluidics device
Jin-Wei Hu, Kewei Zhu, Sibo Cheng, et al.
Chemical Engineering Journal (2024) Vol. 481, pp. 148465-148465
Open Access | Times Cited: 12
Artificial intelligence-powered microfluidics for nanomedicine and materials synthesis
Linbo Liu, Mingcheng Bi, Yunhua Wang, et al.
Nanoscale (2021) Vol. 13, Iss. 46, pp. 19352-19366
Closed Access | Times Cited: 65
Trends in Droplet Microfluidics: From Droplet Generation to Biomedical Applications
Zhengkun Chen, Sina Kheiri, Edmond W. K. Young, et al.
Langmuir (2022) Vol. 38, Iss. 20, pp. 6233-6248
Closed Access | Times Cited: 56
Machine learning in bioprocess development: from promise to practice
Laura M. Helleckes, Johannes Hemmerich, Wolfgang Wiechert, et al.
Trends in biotechnology (2022) Vol. 41, Iss. 6, pp. 817-835
Open Access | Times Cited: 55
Deciphering impedance cytometry signals with neural networks
Federica Caselli, Riccardo Reale, Adele De Ninno, et al.
Lab on a Chip (2022) Vol. 22, Iss. 9, pp. 1714-1722
Open Access | Times Cited: 38
Vascularized Tumor Spheroid-on-a-Chip Model Verifies Synergistic Vasoprotective and Chemotherapeutic Effects
Zhiwei Hu, Yuanxiong Cao, Edgar A. Galan, et al.
ACS Biomaterials Science & Engineering (2022) Vol. 8, Iss. 3, pp. 1215-1225
Closed Access | Times Cited: 35
Recent advancements in machine learning enabled portable and wearable biosensors
Sachin Kadian, Pratima Kumari, Shubhangi Shukla, et al.
Talanta Open (2023) Vol. 8, pp. 100267-100267
Open Access | Times Cited: 26
Machine learning in additive manufacturing & Microfluidics for smarter and safer drug delivery systems
Aikaterini Dedeloudi, Edward Weaver, Dimitrios A. Lamprou
International Journal of Pharmaceutics (2023) Vol. 636, pp. 122818-122818
Open Access | Times Cited: 25
Integrated technologies for continuous monitoring of organs-on-chips: Current challenges and potential solutions
Jonathan Sabaté del Río, Jooyoung Ro, Heejeong Yoon, et al.
Biosensors and Bioelectronics (2023) Vol. 224, pp. 115057-115057
Closed Access | Times Cited: 24
Can Artificial Intelligence Accelerate Fluid Mechanics Research?
Dimitris Drikakis, Filippos Sofos
Fluids (2023) Vol. 8, Iss. 7, pp. 212-212
Open Access | Times Cited: 24
Advances in Integration, Wearable Applications, and Artificial Intelligence of Biomedical Microfluidics Systems
Xingfeng Ma, Gang Guo, Xuanye Wu, et al.
Micromachines (2023) Vol. 14, Iss. 5, pp. 972-972
Open Access | Times Cited: 23
Biosensor integrated brain-on-a-chip platforms: Progress and prospects in clinical translation
Berivan Çeçen, Ecem Saygılı, Iman Zare, et al.
Biosensors and Bioelectronics (2023) Vol. 225, pp. 115100-115100
Open Access | Times Cited: 20
Advances and challenges in organ-on-chip technology: toward mimicking human physiology and disease in vitro
Dhiraj Kumar, Rahul Nadda, Ramjee Repaka
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 7, pp. 1925-1957
Closed Access | Times Cited: 7
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
AI-Powered Microfluidics: Shaping the Future of Phenotypic Drug Discovery
Junchi Liu, Hanze Du, Lei Huang, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 30, pp. 38832-38851
Closed Access | Times Cited: 6
Droplet based microfluidics integrated with machine learning
Sangam Srikanth, Satish Kumar Dubey, Arshad Javed, et al.
Sensors and Actuators A Physical (2021) Vol. 332, pp. 113096-113096
Closed Access | Times Cited: 49
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