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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:

A practical guide to intelligent image-activated cell sorting
Akihiro Isozaki, Hideharu Mikami, K. Hiramatsu, et al.
Nature Protocols (2019) Vol. 14, Iss. 8, pp. 2370-2415
Closed Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Raman image-activated cell sorting
Nao Nitta, Takanori Iino, Akihiro Isozaki, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 157
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: 116
High-throughput microbial culturomics using automation and machine learning
Yiming Huang, Ravi U. Sheth, Shijie Zhao, et al.
Nature Biotechnology (2023) Vol. 41, Iss. 10, pp. 1424-1433
Open Access | Times Cited: 105
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
Virtual-freezing fluorescence imaging flow cytometry
Hideharu Mikami, Makoto Kawaguchi, Chun‐Jung Huang, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 115
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
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
Plasmonic Optical Tweezers for Particle Manipulation: Principles, Methods, and Applications
Ya-Tao Ren, Qin Chen, Ming-Jian He, et al.
ACS Nano (2021) Vol. 15, Iss. 4, pp. 6105-6128
Open Access | Times Cited: 95
Deep Learning for Biospectroscopy and Biospectral Imaging: State-of-the-Art and Perspectives
Hao He, Sen Yan, Danya Lyu, et al.
Analytical Chemistry (2021) Vol. 93, Iss. 8, pp. 3653-3665
Closed Access | Times Cited: 78
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: 56
Deep learning-based image processing in optical microscopy
Sindhoora Kaniyala Melanthota, Dharshini Gopal, Shweta Chakrabarti, et al.
Biophysical Reviews (2022) Vol. 14, Iss. 2, pp. 463-481
Open Access | Times Cited: 51
A guide to molecular and functional investigations of platelets to bridge basic and clinical sciences
Tarun Tyagi, Kanika Jain, Sean X. Gu, et al.
Nature Cardiovascular Research (2022) Vol. 1, Iss. 3, pp. 223-237
Open Access | Times Cited: 49
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
Label-free liquid biopsy through the identification of tumor cells by machine learning-powered tomographic phase imaging flow cytometry
Daniele Pirone, Annalaura Montella, Daniele Sirico, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 28
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
Plant Single-Cell Metabolomics—Challenges and Perspectives
Leonardo Perez de Souza, Monica Borghi, Alisdair R. Fernie
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 23, pp. 8987-8987
Open Access | Times Cited: 66
Chemical Analysis of Single Cells and Organelles
Keke Hu, Tho D. K. Nguyen, Stefania Rabasco, et al.
Analytical Chemistry (2020) Vol. 93, Iss. 1, pp. 41-71
Open Access | Times Cited: 54
Cell Separations and Sorting
Małgorzata A. Witek, Ian M. Freed, Steven A. Soper
Analytical Chemistry (2019) Vol. 92, Iss. 1, pp. 105-131
Open Access | Times Cited: 53
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
Microalgae identification: Future of image processing and digital algorithm
Jun Wei Roy Chong, Kuan Shiong Khoo, Kit Wayne Chew, et al.
Bioresource Technology (2022) Vol. 369, pp. 128418-128418
Closed Access | Times Cited: 33
Deep imaging flow cytometry
Kangrui Huang, Hiroki Matsumura, Yaqi Zhao, et al.
Lab on a Chip (2022) Vol. 22, Iss. 5, pp. 876-889
Closed Access | Times Cited: 28
NF-κB dynamics in the language of immune cells
Mohammad Aqdas, Myong‐Hee Sung
Trends in Immunology (2022) Vol. 44, Iss. 1, pp. 32-43
Open Access | Times Cited: 28
High-throughput fluorescence lifetime imaging flow cytometry
Hiroshi Kanno, K. Hiramatsu, Hideharu Mikami, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Microscopic impedance cytometry for quantifying single cell shape
Tao Tang, Xun Liu, Ryota Kiya, et al.
Biosensors and Bioelectronics (2021) Vol. 193, pp. 113521-113521
Open Access | Times Cited: 32
Versatile acoustic manipulation of micro-objects using mode-switchable oscillating bubbles: transportation, trapping, rotation, and revolution
Wei Zhang, Bin Song, Xue Bai, et al.
Lab on a Chip (2021) Vol. 21, Iss. 24, pp. 4760-4771
Closed Access | Times Cited: 31
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