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:
Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation
Haï Tran, Jung Kyung Hong, Hyeryung Jang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46216-e46216
Open Access | Times Cited: 7
Haï Tran, Jung Kyung Hong, Hyeryung Jang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46216-e46216
Open Access | Times Cited: 7
Showing 7 citing articles:
Research and application of deep learning-based sleep staging: Data, modeling, validation, and clinical practice
Huijun Yue, Zhuqi Chen, Wenbin Guo, et al.
Sleep Medicine Reviews (2024) Vol. 74, pp. 101897-101897
Open Access | Times Cited: 13
Huijun Yue, Zhuqi Chen, Wenbin Guo, et al.
Sleep Medicine Reviews (2024) Vol. 74, pp. 101897-101897
Open Access | Times Cited: 13
Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study
Taeyoung Lee, Younghoon Cho, Kwang Su, et al.
JMIR mhealth and uhealth (2023) Vol. 11, pp. e50983-e50983
Open Access | Times Cited: 21
Taeyoung Lee, Younghoon Cho, Kwang Su, et al.
JMIR mhealth and uhealth (2023) Vol. 11, pp. e50983-e50983
Open Access | Times Cited: 21
Automatic sleep stage classification using deep learning: signals, data representation, and neural networks
Peng Liu, Wei Qian, Hua Zhang, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 4
Peng Liu, Wei Qian, Hua Zhang, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 4
Navigating Challenges and Harnessing Opportunities: Deep Learning Applications in Internet of Medical Things
John Mulo, Hengshuo Liang, Mian Qian, et al.
Future Internet (2025) Vol. 17, Iss. 3, pp. 107-107
Open Access
John Mulo, Hengshuo Liang, Mian Qian, et al.
Future Internet (2025) Vol. 17, Iss. 3, pp. 107-107
Open Access
Multi-modal multi-task deep neural networks for sleep disordered breathing assessment using cardiac and audio signals
Jiali Xie, Pedro Fonseca, Johannes van Dijk, et al.
International Journal of Medical Informatics (2025), pp. 105932-105932
Closed Access
Jiali Xie, Pedro Fonseca, Johannes van Dijk, et al.
International Journal of Medical Informatics (2025), pp. 105932-105932
Closed Access
Revolutionizing Sleep Health: The Promise and Challenges of Digital Phenotyping
Chul‐Hyun Cho
Chronobiology in Medicine (2023) Vol. 5, Iss. 3, pp. 95-96
Open Access | Times Cited: 3
Chul‐Hyun Cho
Chronobiology in Medicine (2023) Vol. 5, Iss. 3, pp. 95-96
Open Access | Times Cited: 3
Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study (Preprint)
Taeyoung Lee, Younghoon Cho, Kwang Su, et al.
(2023)
Open Access
Taeyoung Lee, Younghoon Cho, Kwang Su, et al.
(2023)
Open Access
Recent Trends in Human Breathing Detection Using Radar, WiFi and Acoustics
Ravi Kant Singh, Rahul Katarya
(2023), pp. 530-536
Closed Access
Ravi Kant Singh, Rahul Katarya
(2023), pp. 530-536
Closed Access
