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:
Using hidden Markov models with raw, triaxial wrist accelerometry data to determine sleep stages
Michelle Trevenen, Berwin A. Turlach, Peter R. Eastwood, et al.
Australian & New Zealand Journal of Statistics (2019) Vol. 61, Iss. 3, pp. 273-298
Closed Access | Times Cited: 7
Michelle Trevenen, Berwin A. Turlach, Peter R. Eastwood, et al.
Australian & New Zealand Journal of Statistics (2019) Vol. 61, Iss. 3, pp. 273-298
Closed Access | Times Cited: 7
Showing 7 citing articles:
Sleep classification from wrist-worn accelerometer data using random forests
Kalaivani Sundararajan, Sonja Georgievska, Bart H. W. Te Lindert, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 81
Kalaivani Sundararajan, Sonja Georgievska, Bart H. W. Te Lindert, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 81
Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality
Hang Yuan, Tatiana Plekhanova, Rosemary Walmsley, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8
Hang Yuan, Tatiana Plekhanova, Rosemary Walmsley, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8
A systematic review of the performance of actigraphy in measuring sleep stages
Hang Yuan, Elizabeth A. Hill, Simon D. Kyle, et al.
Journal of Sleep Research (2024) Vol. 33, Iss. 5
Open Access | Times Cited: 7
Hang Yuan, Elizabeth A. Hill, Simon D. Kyle, et al.
Journal of Sleep Research (2024) Vol. 33, Iss. 5
Open Access | Times Cited: 7
Recent Progress in Long-Term Sleep Monitoring Technology
Jiaju Yin, Jiandong Xu, Tian‐Ling Ren
Biosensors (2023) Vol. 13, Iss. 3, pp. 395-395
Open Access | Times Cited: 15
Jiaju Yin, Jiandong Xu, Tian‐Ling Ren
Biosensors (2023) Vol. 13, Iss. 3, pp. 395-395
Open Access | Times Cited: 15
Multi-Scale Evaluation of Sleep Quality Based on Motion Signal from Unobtrusive Device
Davide Coluzzi, Giuseppe Baselli, Anna Maria Bianchi, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5295-5295
Open Access | Times Cited: 4
Davide Coluzzi, Giuseppe Baselli, Anna Maria Bianchi, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5295-5295
Open Access | Times Cited: 4
Long-term self-supervised learning for accelerometer-based sleep–wake recognition
Aleksej Logacjov, Kerstin Bach, Paul Jarle Mork
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109758-109758
Open Access
Aleksej Logacjov, Kerstin Bach, Paul Jarle Mork
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109758-109758
Open Access
Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality
Aiden Doherty, Hang Yuan, Tatiana Plekhanova, et al.
Research Square (Research Square) (2023)
Open Access
Aiden Doherty, Hang Yuan, Tatiana Plekhanova, et al.
Research Square (Research Square) (2023)
Open Access
