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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:

Neural network-enhanced real-time impedance flow cytometry for single-cell intrinsic characterization
Yongxiang Feng, Zhen Cheng, Huichao Chai, et al.
Lab on a Chip (2021) Vol. 22, Iss. 2, pp. 240-249
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Label-free microfluidic cell sorting and detection for rapid blood analysis
Nan Lü, Hui Min Tay, Chayakorn Petchakup, et al.
Lab on a Chip (2023) Vol. 23, Iss. 5, pp. 1226-1257
Open Access | Times Cited: 61
Advances in Microfluidics: Technical Innovations and Applications in Diagnostics and Therapeutics
Guillaume Aubry, Hyun Jee Lee, Hang Lu
Analytical Chemistry (2023) Vol. 95, Iss. 1, pp. 444-467
Closed Access | Times Cited: 39
Microfluidic Impedance Cytometry Enabled One‐Step Sample Preparation for Efficient Single‐Cell Mass Spectrometry
Junwen Zhu, Siyuan Pan, Huichao Chai, et al.
Small (2024) Vol. 20, Iss. 26
Closed Access | Times Cited: 21
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
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
Automated biophysical classification of apoptotic pancreatic cancer cell subpopulations by using machine learning approaches with impedance cytometry
Carlos Honrado, Armita Salahi, Sara J. Adair, et al.
Lab on a Chip (2022) Vol. 22, Iss. 19, pp. 3708-3720
Open Access | Times Cited: 37
Impedance‐Based Multimodal Electrical‐Mechanical Intrinsic Flow Cytometry
Yongxiang Feng, Junwen Zhu, Huichao Chai, et al.
Small (2023) Vol. 19, Iss. 45
Closed Access | Times Cited: 23
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
Progressive Approaches in Oncological Diagnosis and Surveillance: Real‐Time Impedance‐Based Techniques and Advanced Algorithms
Viswambari Devi Ramaswamy, Michael Keidar
Bioelectromagnetics (2025) Vol. 46, Iss. 1
Closed Access
Impedance‐Enabled Camera‐Free Intrinsic Mechanical Cytometry
Yongxiang Feng, Huichao Chai, Weihua He, et al.
Small Methods (2022) Vol. 6, Iss. 7
Closed Access | Times Cited: 30
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
Nucleic Acid Quantification by Multi-Frequency Impedance Cytometry and Machine Learning
Mahtab Kokabi, Jianye Sui, Neeru Gandotra, et al.
Biosensors (2023) Vol. 13, Iss. 3, pp. 316-316
Open Access | Times Cited: 13
Floating-Electrode-Enabled Impedance Cytometry for Single-Cell 3D Localization
Qiang Fang, Yongxiang Feng, Junwen Zhu, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 15, pp. 6374-6382
Closed Access | Times Cited: 12
Advancing Healthcare: Synergizing Biosensors and Machine Learning for Early Cancer Diagnosis
Mahtab Kokabi, Muhammad Nabeel Tahir, Darshan Singh, et al.
Biosensors (2023) Vol. 13, Iss. 9, pp. 884-884
Open Access | Times Cited: 12
Supervised learning on impedance cytometry data for label-free biophysical distinction of pancreatic cancer cells versus their associated fibroblasts under gemcitabine treatment
Armita Salahi, Carlos Honrado, John H. Moore, et al.
Biosensors and Bioelectronics (2023) Vol. 231, pp. 115262-115262
Closed Access | Times Cited: 11
Impedance Cell Sensing Technology From Single-Frequency to Multifrequency: A Review
Hongyu Li, Yusheng Fu, Jiuchuan Guo, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 4150-4160
Closed Access | Times Cited: 3
Convolutional Neural Network-Driven Impedance Flow Cytometry for Accurate Bacterial Differentiation
Shuaihua Zhang, Ziyu Han, H. Jerry Qi, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 11, pp. 4419-4429
Closed Access | Times Cited: 3
Controllable Size-Independent Three-Dimensional Inertial Focusing in High-Aspect-Ratio Asymmetric Serpentine Microchannels
Chen Ni, Zheng Zhou, Zhixian Zhu, et al.
Analytical Chemistry (2022) Vol. 94, Iss. 45, pp. 15639-15647
Closed Access | Times Cited: 20
Parallel Impedance Cytometry for Real-Time Screening of Bacterial Single Cells from Nano- to Microscale
Tao Tang, Xun Liu, Yapeng Yuan, et al.
ACS Sensors (2022) Vol. 7, Iss. 12, pp. 3700-3709
Closed Access | Times Cited: 18
Performance-enhanced clogging-free viscous sheath constriction impedance flow cytometry
Junwen Zhu, Yongxiang Feng, Huichao Chai, et al.
Lab on a Chip (2023) Vol. 23, Iss. 11, pp. 2531-2539
Closed Access | Times Cited: 9
Evaluating the Accuracy of Impedance Flow Cytometry with Cell-Sized Liposomes
Huichao Chai, Yongxiang Feng, Junwen Zhu, et al.
ACS Sensors (2023) Vol. 8, Iss. 7, pp. 2681-2690
Closed Access | Times Cited: 9
Machine learning-based impedance system for real-time recognition of antibiotic-susceptible bacteria with parallel cytometry
Tao Tang, Xun Liu, Yapeng Yuan, et al.
Sensors and Actuators B Chemical (2022) Vol. 374, pp. 132698-132698
Open Access | Times Cited: 17
Delay-Spectral Focusing Dual-Comb Coherent Raman Spectroscopy for Rapid Detection in the High-Wavenumber Region
Yujia Zhang, Minjian Lu, Tao Wu, et al.
ACS Photonics (2022) Vol. 9, Iss. 4, pp. 1385-1394
Closed Access | Times Cited: 15
Open problems in mathematical biology
Sean T. Vittadello, Michael P. H. Stumpf
Mathematical Biosciences (2022) Vol. 354, pp. 108926-108926
Open Access | Times Cited: 15
Machine learning classification of cellular states based on the impedance features derived from microfluidic single-cell impedance flow cytometry
Jian Wei, W. Gao, Xinlong Yang, et al.
Biomicrofluidics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 2
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