Cheng-Yu Tsai

610 total citations
53 papers, 377 citations indexed

About

Cheng-Yu Tsai is a scholar working on Physiology, Endocrine and Autonomic Systems and Experimental and Cognitive Psychology. According to data from OpenAlex, Cheng-Yu Tsai has authored 53 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Physiology, 18 papers in Endocrine and Autonomic Systems and 17 papers in Experimental and Cognitive Psychology. Recurrent topics in Cheng-Yu Tsai's work include Obstructive Sleep Apnea Research (23 papers), Neuroscience of respiration and sleep (16 papers) and Sleep and related disorders (10 papers). Cheng-Yu Tsai is often cited by papers focused on Obstructive Sleep Apnea Research (23 papers), Neuroscience of respiration and sleep (16 papers) and Sleep and related disorders (10 papers). Cheng-Yu Tsai collaborates with scholars based in Taiwan, United Kingdom and Hong Kong. Cheng-Yu Tsai's co-authors include Wan‐Chun Chiu, Liang Yang, Wen‐Te Liu, Cheng-Jung Wu, Kang‐Yun Lee, Dean Wu, Hsiao‐Chi Chuang, Arnab Majumdar, Hsin‐Chien Lee and Yung‐Wei Lin and has published in prestigious journals such as The Science of The Total Environment, Sensors and SLEEP.

In The Last Decade

Cheng-Yu Tsai

44 papers receiving 374 citations

Peers

Cheng-Yu Tsai
Mun Young Chang South Korea
Arved Vain Estonia
Xinbo Xu China
John R. Emmett United States
Hahn Jin Jung South Korea
Christian F. Bulcao United States
Mun Young Chang South Korea
Cheng-Yu Tsai
Citations per year, relative to Cheng-Yu Tsai Cheng-Yu Tsai (= 1×) peers Mun Young Chang

Countries citing papers authored by Cheng-Yu Tsai

Since Specialization
Citations

This map shows the geographic impact of Cheng-Yu Tsai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cheng-Yu Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-Yu Tsai more than expected).

Fields of papers citing papers by Cheng-Yu Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Yu Tsai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cheng-Yu Tsai. The network helps show where Cheng-Yu Tsai may publish in the future.

Co-authorship network of co-authors of Cheng-Yu Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Yu Tsai. A scholar is included among the top collaborators of Cheng-Yu Tsai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cheng-Yu Tsai. Cheng-Yu Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Wen‐Te, Chih‐Wei Hsu, Hua Lin, et al.. (2025). Utilizing a Wireless Radar Framework in Combination With Deep Learning Approaches to Evaluate Obstructive Sleep Apnea Severity in Home-Setting Environments. Journal of Multidisciplinary Healthcare. Volume 18. 381–393.
2.
Lee, Kang‐Yun, Rong‐Nan Chien, Kuan-Yuan Chen, et al.. (2025). Investigating temporal PM2.5 exposure in relation to rapid lung-function decline among COPD patients: A retrospective study. Atmospheric Pollution Research. 17(3). 102822–102822.
3.
Liu, Wen‐Te, Arnab Majumdar, Jiunn‐Horng Kang, et al.. (2025). Deep representation learning with cross attention-based multi-feature fusion for sleep apnea detection using sleep respiratory sound. Biomedical Signal Processing and Control. 113. 109093–109093.
4.
Kuan, Yi‐Chun, Jung-Lung Hsu, Wen‐Te Liu, et al.. (2025). Slow-wave sleep, oxygen desaturation, and memory consolidation in sleep-disturbed individuals. International Journal of Clinical and Health Psychology. 25(2). 100574–100574.
5.
Tsai, Cheng-Yu, et al.. (2025). Associations between body composition, hydration status, and sleep architecture in obstructive sleep apnea. Frontiers in Endocrinology. 16. 1666026–1666026.
6.
Liu, Wen‐Te, et al.. (2024). Association between the risk of aberrant driving behavior and sleep disorder indices: A pilot study involving urban taxi drivers. Journal of Transport & Health. 40. 101942–101942. 1 indexed citations
7.
Tsai, Cheng-Yu, Arnab Majumdar, Yi‐Chun Kuan, et al.. (2024). Combining a wireless radar sleep monitoring device with deep machine learning techniques to assess obstructive sleep apnea severity. Journal of Clinical Sleep Medicine. 20(8). 1267–1277. 6 indexed citations
8.
Tsai, Cheng-Yu, Ming Liu, Yi‐Chun Kuan, et al.. (2023). Associations between air pollution, intracellular-to-extracellular water distribution, and obstructive sleep apnea manifestations. Frontiers in Public Health. 11. 1175203–1175203. 4 indexed citations
9.
Kang, Jiunn‐Horng, et al.. (2023). Prediction of posttraumatic functional recovery in middle-aged and older patients through dynamic ensemble selection modeling. Frontiers in Public Health. 11. 1164820–1164820. 4 indexed citations
10.
Tsai, Cheng-Yu, Wen‐Te Liu, Wenhua Hsu, et al.. (2022). Aberrant Driving Behavior Prediction for Urban Bus Drivers in Taiwan Using Heart Rate Variability and Various Machine Learning Approaches: A Pilot Study. Transportation Research Record Journal of the Transportation Research Board. 2677(3). 1304–1320. 2 indexed citations
11.
Tsai, Cheng-Yu, et al.. (2022). Development and performance evaluation of a mixed-sensor system for fine particles and road traffic noise. Environmental Technology & Innovation. 28. 102902–102902. 3 indexed citations
12.
Liu, Wen‐Te, Yuan‐Hung Wang, Li-Te Chang, et al.. (2022). The impacts of ambient relative humidity and temperature on supine position-related obstructive sleep apnea in adults. Environmental Science and Pollution Research. 29(33). 50755–50764. 12 indexed citations
13.
Tsai, Cheng-Yu, Sheng‐Ming Wu, Yi‐Chun Kuan, et al.. (2022). Associations between risk of Alzheimer's disease and obstructive sleep apnea, intermittent hypoxia, and arousal responses: A pilot study. Frontiers in Neurology. 13. 1038735–1038735. 10 indexed citations
14.
Liu, Wen‐Te, Yueh‐Hsun Lu, Dean Wu, et al.. (2022). Air pollution associated with cognitive decline by the mediating effects of sleep cycle disruption and changes in brain structure in adults. Environmental Science and Pollution Research. 29(35). 52355–52366. 19 indexed citations
15.
Bai, Kuan‐Jen, Wen‐Te Liu, Yuan‐Chien Lin, et al.. (2022). Ambient relative humidity-dependent obstructive sleep apnea severity in cold season: A case-control study. The Science of The Total Environment. 861. 160586–160586. 12 indexed citations
17.
Kuan, Yi‐Chun, et al.. (2022). Associations of overnight changes in body composition with positional obstructive sleep apnea. Sleep And Breathing. 27(2). 631–640. 2 indexed citations
18.
Tsai, Cheng-Yu, Arnab Majumdar, Kang‐Yun Lee, et al.. (2021). Associations among sleep-disordered breathing, arousal response, and risk of mild cognitive impairment in a northern Taiwan population. Journal of Clinical Sleep Medicine. 18(4). 1003–1012. 14 indexed citations
19.
Chiang, Ling-Ling, et al.. (2021). Association of short-term exposure to air pollution with depression in patients with sleep-related breathing disorders. The Science of The Total Environment. 786. 147291–147291. 19 indexed citations
20.
Ho, Kin‐Fai, Xinyi Niu, Hongmei Xu, et al.. (2021). Organic carbon and acidic ions in PM2.5 contributed to particle bioreactivity in Chinese megacities during haze episodes. Environmental Science and Pollution Research. 29(8). 11865–11873. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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