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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.

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Showing 12 citing articles:

Utilizing a Wireless Radar Framework in Combination With Deep Learning Approaches to Evaluate Obstructive Sleep Apnea Severity in Home-Setting Environments
K H Lee, Wen‐Te Liu, Yi‐Chih Lin, et al.
Journal of Multidisciplinary Healthcare (2025) Vol. Volume 18, pp. 381-393
Open Access
A comparative study of neuro-fuzzy and neural network models in predicting length of stay in university hospital
Birgül YABANA KİREMİT, Elif DİKMETAŞ YARDAN
BMC Health Services Research (2025) Vol. 25, Iss. 1
Open Access
Screening for Obstructive Sleep Apnea Risk by Using Machine Learning Approaches and Anthropometric Features
Cheng-Yu Tsai, Huei-Tyng Huang, Hsueh-Chien Cheng, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8630-8630
Open Access | Times Cited: 16
Combining a wireless radar sleep monitoring device with deep machine learning techniques to assess obstructive sleep apnea severity
Shang‐Yang Lin, Cheng-Yu Tsai, Arnab Majumdar, et al.
Journal of Clinical Sleep Medicine (2024) Vol. 20, Iss. 8, pp. 1267-1277
Closed Access | Times Cited: 3
Screening the risk of obstructive sleep apnea by utilizing supervised learning techniques based on anthropometric features and snoring events
Cheng-Yu Tsai, Wen‐Te Liu, Wen-Hua Hsu, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 7
Association of Low Arousal Threshold Obstructive Sleep Apnea Manifestations with Body Fat and Water Distribution
Wen-Hua Hsu, Cheng‐Chang Yang, Cheng-Yu Tsai, et al.
Life (2023) Vol. 13, Iss. 5, pp. 1218-1218
Open Access | Times Cited: 6
Review on the use of AI-based methods and tools for treating mental conditions and mental rehabilitation
Vladimir Khorev, Anton R. Kiselev, Artem Badarin, et al.
The European Physical Journal Special Topics (2024)
Closed Access | Times Cited: 2
High Arousal Threshold is Associated with Metabolic Syndrome in Patients with Obstructive Sleep Apnea
Junwei Du, Baixin Chen, Le Chen, et al.
Respiratory Medicine (2024) Vol. 234, pp. 107837-107837
Closed Access
Co-morbid Insomnia and Sleep Apnoea (COMISA): Latest Research from an Emerging Field
Alexander Sweetman
Current Sleep Medicine Reports (2023) Vol. 9, Iss. 3, pp. 180-189
Open Access | Times Cited: 1
Machine learning approaches for predicting sleep arousal response based on heart rate variability, oxygen saturation, and body profiles
C.C. Kuo, Cheng-Yu Tsai, Wun-Hao Cheng, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 1
Screening the Risk of Obstructive Sleep Apnea by Utilizing Supervised Learning Techniques Based on Anthropometric Features and Snoring Events (Preprint)
Cheng-Yu Tsai, Wen‐Te Liu, Wen-Hua Hsu, et al.
(2022)
Closed Access
Obstructive Sleep Apnoea in Pregnant Women with Chronic Hypertension: A Retrospective Study
Xiaoyi Wang, Xuexin Wang, Hong Gao
Research Square (Research Square) (2022)
Open Access
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