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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 image-activated cell sorting 2.0
Akihiro Isozaki, Hideharu Mikami, Hiroshi Tezuka, et al.
Lab on a Chip (2020) Vol. 20, Iss. 13, pp. 2263-2273
Open Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

Recent Advances in Microfluidic Technology for Bioanalysis and Diagnostics
Simon F. Berlanda, Maximilian Breitfeld, Claudius Dietsche, et al.
Analytical Chemistry (2020) Vol. 93, Iss. 1, pp. 311-331
Open Access | Times Cited: 216
High-speed fluorescence image–enabled cell sorting
Daniel Schraivogel, Terra M. Kuhn, Benedikt Rauscher, et al.
Science (2022) Vol. 375, Iss. 6578, pp. 315-320
Open Access | Times Cited: 174
The role of machine learning to boost the bioenergy and biofuels conversion
Zheng‐Xin Wang, Xinggan Peng, Ao Xia, et al.
Bioresource Technology (2021) Vol. 343, pp. 126099-126099
Closed Access | Times Cited: 118
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
Passive microfluidic devices for cell separation
Tianlong Zhang, Dino Di Carlo, Chwee Teck Lim, et al.
Biotechnology Advances (2024) Vol. 71, pp. 108317-108317
Closed Access | Times Cited: 19
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
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
AI on a chip
Akihiro Isozaki, Jeffrey Harmon, Yuqi Zhou, et al.
Lab on a Chip (2020) Vol. 20, Iss. 17, pp. 3074-3090
Closed Access | Times Cited: 106
Droplet flow cytometry for single-cell analysis
Ming Li, Hangrui Liu, Siyuan Zhuang, et al.
RSC Advances (2021) Vol. 11, Iss. 34, pp. 20944-20960
Open Access | Times Cited: 57
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
Computer vision meets microfluidics: a label-free method for high-throughput cell analysis
Shizheng Zhou, Bingbing Chen, Edgar S. Fu, et al.
Microsystems & Nanoengineering (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 25
Optical Detection of Cancer Cells Using Lab-on-a-Chip
Luis Abraham García Hernández, Eduardo Martínez‐Martínez, Denni Mariana Pazos-Solis, et al.
Biosensors (2023) Vol. 13, Iss. 4, pp. 439-439
Open Access | Times Cited: 20
Lab on a Particle Technologies
Rajesh Ghosh, Alyssa Arnheim, Mark van Zee, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 20, pp. 7817-7839
Open Access | Times Cited: 6
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
Challenges in blood fractionation for cancer liquid biopsy: how can microfluidics assist?
Robert Salomon, Sajad Razavi Bazaz, Kirk Mutafopulos, et al.
Lab on a Chip (2025)
Open Access
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
Image-Based Live Cell Sorting
Cody A. LaBelle, Angelo Massaro, Belén Cortés‐Llanos, et al.
Trends in biotechnology (2020) Vol. 39, Iss. 6, pp. 613-623
Open Access | Times Cited: 48
Exploiting machine learning for bestowing intelligence to microfluidics
Jiahao Zheng, Tim Cole, Yuxin Zhang, et al.
Biosensors and Bioelectronics (2021) Vol. 194, pp. 113666-113666
Closed Access | Times Cited: 47
Toward Deep Biophysical Cytometry: Prospects and Challenges
Kelvin C. M. Lee, Jochen Guck, Keisuke Goda, et al.
Trends in biotechnology (2021) Vol. 39, Iss. 12, pp. 1249-1262
Closed Access | Times Cited: 43
User-friendly image-activated microfluidic cell sorting technique using an optimized, fast deep learning algorithm
Keondo Lee, Seong‐Eun Kim, Junsang Doh, et al.
Lab on a Chip (2021) Vol. 21, Iss. 9, pp. 1798-1810
Closed Access | Times Cited: 40
Tools for computational design and high-throughput screening of therapeutic enzymes
Michal Vasina, Jan Velecký, Joan Planas-Iglesias, et al.
Advanced Drug Delivery Reviews (2022) Vol. 183, pp. 114143-114143
Closed Access | Times Cited: 33
Sorting single-cell microcarriers using commercial flow cytometers
Joseph de Rutte, Robert Dimatteo, Sheldon Zhu, et al.
SLAS TECHNOLOGY (2022) Vol. 27, Iss. 2, pp. 150-159
Open Access | Times Cited: 27
Microfluidics for understanding model organisms
Nolan Frey, Utku M. Sönmez, Jonathan S. Minden, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 26
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
Optofluidic imaging meets deep learning: from merging to emerging
Dickson M. D. Siu, Kelvin C. M. Lee, Bob M. F. Chung, et al.
Lab on a Chip (2023) Vol. 23, Iss. 5, pp. 1011-1033
Closed Access | Times Cited: 14
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