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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:

A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
Mustafa Radha, Pedro Fonseca, Arnaud Moreau, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

Automatic sleep staging of EEG signals: recent development, challenges, and future directions
Huy Phan, Kaare B. Mikkelsen
Physiological Measurement (2022) Vol. 43, Iss. 4, pp. 04TR01-04TR01
Open Access | Times Cited: 81
Application of photoplethysmography signals for healthcare systems: An in-depth review
Hui Wen Loh, Shuting Xu, Oliver Faust, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 216, pp. 106677-106677
Open Access | Times Cited: 71
A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future
Richard Woodman, Arduino A. Mangoni
Aging Clinical and Experimental Research (2023) Vol. 35, Iss. 11, pp. 2363-2397
Open Access | Times Cited: 50
The 2023 wearable photoplethysmography roadmap
Peter Charlton, John Allen, Raquel Bailón, et al.
Physiological Measurement (2023) Vol. 44, Iss. 11, pp. 111001-111001
Open Access | Times Cited: 42
Technologies for sleep monitoring at home: wearables and nearables
Heenam Yoon, Sang Ho Choi
Biomedical Engineering Letters (2023) Vol. 13, Iss. 3, pp. 313-327
Closed Access | Times Cited: 24
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
Sleep assessment using EEG-based wearables – A systematic review
C.J. de Gans, P. C. Burger, Eva S. van den Ende, et al.
Sleep Medicine Reviews (2024) Vol. 76, pp. 101951-101951
Open Access | Times Cited: 13
Contactless Camera-Based Sleep Staging: The HealthBed Study
Fokke van Meulen, Angela Grassi, Leonie van den Heuvel, et al.
Bioengineering (2023) Vol. 10, Iss. 1, pp. 109-109
Open Access | Times Cited: 19
Recent Developments and Future Directions of Wearable Skin Biosignal Sensors
Dohyung Kim, JinKi Min, Seung Hwan Ko
Advanced Sensor Research (2023) Vol. 3, Iss. 2
Open Access | Times Cited: 19
A real-time, personalized sleep intervention using mathematical modeling and wearable devices
Yun Min Song, Su Jung Choi, Seho Park, et al.
SLEEP (2023) Vol. 46, Iss. 9
Closed Access | Times Cited: 17
SleepPPG-Net: A Deep Learning Algorithm for Robust Sleep Staging From Continuous Photoplethysmography
Kevin Kotzen, Peter Charlton, Sharon Salabi, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 924-932
Open Access | Times Cited: 27
Survey of Transfer Learning Approaches in the Machine Learning of Digital Health Sensing Data
Lina Chato, Emma Regentova
Journal of Personalized Medicine (2023) Vol. 13, Iss. 12, pp. 1703-1703
Open Access | Times Cited: 13
Sleep classification using Consumer Sleep Technologies and AI: A review of the current landscape
Shagen Djanian, Anders Bruun, Thomas D. Nielsen
Sleep Medicine (2022) Vol. 100, pp. 390-403
Open Access | Times Cited: 22
A Deep Transfer Learning Approach for Sleep Stage Classification and Sleep Apnea Detection Using Wrist-Worn Consumer Sleep Technologies
Mads Olsen, Jamie M. Zeitzer, Risa Nakase‐Richardson, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 8, pp. 2506-2517
Closed Access | Times Cited: 4
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
An EEG-based single-channel dual-stream automatic sleep staging network with transfer learning
Shaofei Ying, Pengrui Li, Jiping Chen, et al.
Applied Soft Computing (2025) Vol. 170, pp. 112722-112722
Closed Access
Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques
Muhammad Mostafa Monowar, S. M. Nuruzzaman Nobel, Maharin Afroj, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Non-obtrusive monitoring of obstructive sleep apnea syndrome based on ballistocardiography: a preliminary study
Biyong Zhang, Zheng Peng, Chunjiao Dong, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access
Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence
Shuwen Chen, Shicheng Fan, Zheng Qiao, et al.
Advanced Materials (2025)
Open Access
Detecting arousals and sleep from respiratory inductance plethysmography
Eysteinn Finnsson, Ernir Erlingsson, Hlynur Davíð Hlynsson, et al.
Sleep And Breathing (2025) Vol. 29, Iss. 2
Open Access
Continuous sleep depth index annotation with deep learning yields novel digital biomarkers for sleep health
Songchi Zhou, Ge Song, Haoqi Sun, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Review of Deep Learning Methods for Automated Sleep Staging
Masoud Malekzadeh, Parisa Hajibabaee, Maryam Heidari, et al.
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2022), pp. 0080-0086
Closed Access | Times Cited: 17
Generalizable Deep Learning-based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings
Matias Rusanen, R. Huttunen, Henri Korkalainen, et al.
IEEE Journal of Biomedical and Health Informatics (2023), pp. 1-12
Open Access | Times Cited: 10
Cross-Domain Transfer of EEG to EEG or ECG Learning for CNN Classification Models
Chia‐Yen Yang, Pin-Chen Chen, Wen-Chen Huang
Sensors (2023) Vol. 23, Iss. 5, pp. 2458-2458
Open Access | Times Cited: 10
A computationally efficient algorithm for wearable sleep staging in clinical populations
Pedro Fonseca, Marco Ross, Andreas Cerny, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
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