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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 classification of platelet aggregates by agonist type
Yuqi Zhou, Atsushi Yasumoto, Cheng Lei, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Imaging flow cytometry with a real-time throughput beyond 1,000,000 events per second
Jiehua Zhou, Liye Mei, Mingjie Yu, et al.
Light Science & Applications (2025) Vol. 14, Iss. 1
Open Access | Times Cited: 2
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: 112
Massive image-based single-cell profiling reveals high levels of circulating platelet aggregates in patients with COVID-19
Masako Nishikawa, Hiroshi Kanno, Yuqi Zhou, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 64
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: 60
Recent Advances of Utilizing Artificial Intelligence in Lab on a Chip for Diagnosis and Treatment
Samaneh Zare Harofte, M. Soltani, Saeed Siavashy, et al.
Small (2022) Vol. 18, Iss. 42
Closed Access | Times Cited: 52
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: 24
Genetic factors, risk prediction and AI application of thrombotic diseases
Rong Wang, Liang Tang, Yu Hu
Experimental Hematology and Oncology (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Next-generation microfluidics based on artificial intelligence: Applications for food sample analysis
Sara Movahedi, Farshad Bahramian, Mahnaz Ahmadi, et al.
Microchemical Journal (2025), pp. 113395-113395
Closed Access | Times Cited: 1
Synthetic hydrogel nanoparticles for sepsis therapy
Hiroyuki Koide, Anna Okishima, Yu Hoshino, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 46
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: 44
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: 31
Machine learning in the coagulation and hemostasis arena: an overview and evaluation of methods, review of literature, and future directions
Hooman H. Rashidi, Kelly Bowers, Morayma Reyes Gil
Journal of Thrombosis and Haemostasis (2023) Vol. 21, Iss. 4, pp. 728-743
Open Access | Times Cited: 21
P2Y12 Inhibition Suppresses Proinflammatory Platelet–Monocyte Interactions
Tessa J. Barrett, Jeffrey S. Berger, Christina C. Rolling, et al.
Thrombosis and Haemostasis (2023) Vol. 123, Iss. 02, pp. 231-244
Closed Access | Times Cited: 19
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: 7
Deep-learning-assisted biophysical imaging cytometry at massive throughput delineates cell population heterogeneity
Dickson M. D. Siu, Kelvin C. M. Lee, Michelle C. K. Lo, et al.
Lab on a Chip (2020) Vol. 20, Iss. 20, pp. 3696-3708
Closed Access | Times Cited: 48
Sensing morphogenesis of bone cells under microfluidic shear stress by holographic microscopy and automatic aberration compensation with deep learning
Wenlong Xiao, Xin Lu, Runyu Cao, et al.
Lab on a Chip (2021) Vol. 21, Iss. 7, pp. 1385-1394
Open Access | Times Cited: 40
Label-Free White Blood Cell Classification Using Refractive Index Tomography and Deep Learning
DongHun Ryu, Jinho Kim, Dae Jin Lim, et al.
BME Frontiers (2021) Vol. 2021
Open Access | Times Cited: 40
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: 15
Advances in Platelet-Dysfunction Diagnostic Technologies
Inkwon Yoon, Jong Hyeok Han, Hee‐Jae Jeon
Biomolecules (2024) Vol. 14, Iss. 6, pp. 714-714
Open Access | Times Cited: 5
Merging microfluidics with luminescence immunoassays for urgent point-of-care diagnostics of COVID-19
Huijuan Yuan, Peng Chen, Chao Wan, et al.
TrAC Trends in Analytical Chemistry (2022) Vol. 157, pp. 116814-116814
Open Access | Times Cited: 22
Typing of acute leukemia by intelligent optical time-stretch imaging flow cytometry on a chip
Yueyun Weng, Hui Shen, Liye Mei, et al.
Lab on a Chip (2023) Vol. 23, Iss. 6, pp. 1703-1712
Closed Access | Times Cited: 13
Artificial intelligence and machine learning in hemostasis and thrombosis
Paolo Gresele
Bleeding Thrombosis and Vascular Biology (2024) Vol. 2, Iss. 4
Open Access | Times Cited: 4
Atherothrombosis‐on‐Chip: A Site‐Specific Microfluidic Model for Thrombus Formation and Drug Discovery
Fahima Akther, Jun Zhang, Diem Nguyen, et al.
Advanced Biology (2022) Vol. 6, Iss. 7
Open Access | Times Cited: 19
Machine learning in point-of-care testing: innovations, challenges, and opportunities
Gyeo‐Re Han, Artem Goncharov, Merve Eryılmaz, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
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