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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:

The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep Stage Detection Using the Oura Ring
Marco Altini, Hannu Kinnunen
Sensors (2021) Vol. 21, Iss. 13, pp. 4302-4302
Open Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

Performance of Four Commercial Wearable Sleep-Tracking Devices Tested Under Unrestricted Conditions at Home in Healthy Young Adults
Evan D. Chinoy, Joseph Cuellar, Jason Jameson, et al.
Nature and Science of Sleep (2022) Vol. Volume 14, pp. 493-516
Open Access | Times Cited: 82
Country differences in nocturnal sleep variability: Observations from a large-scale, long-term sleep wearable study
Adrian R. Willoughby, Iman Alikhani, Mari Karsikas, et al.
Sleep Medicine (2023) Vol. 110, pp. 155-165
Open Access | Times Cited: 60
State of the science and recommendations for using wearable technology in sleep and circadian research
Massimiliano de Zambotti, Cathy Goldstein, Jesse D. Cook, et al.
SLEEP (2023) Vol. 47, Iss. 4
Closed Access | Times Cited: 55
Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: A validation study of 96 participants and 421,045 epochs
Thomas Svensson, Kaushalya Madhawa, Hoang Nt, et al.
Sleep Medicine (2024) Vol. 115, pp. 251-263
Open Access | Times Cited: 17
Evaluating reliability in wearable devices for sleep staging
Vera Birrer, Mohamed Elgendi, Olivier Lambercy, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 16
Using Artificial Intelligence-Enhanced Sensing and Wearable Technology in Sports Medicine and Performance Optimisation
Swathikan Chidambaram, Yathukulan Maheswaran, Kian Patel, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6920-6920
Open Access | Times Cited: 57
Tracking Sleep, Temperature, Heart Rate, and Daily Symptoms Across the Menstrual Cycle with the Oura Ring in Healthy Women
Elisabet Alzueta, Massimiliano de Zambotti, Harold S. Javitz, et al.
International Journal of Women s Health (2022) Vol. Volume 14, pp. 491-503
Open Access | Times Cited: 39
ChatGPT Generated Training Plans for Runners are not Rated Optimal by Coaching Experts, but Increase in Quality with Additional Input Information
Peter Düking, Billy Sperlich, Laura Voigt, et al.
Journal of Sports Science and Medicine (2024), pp. 56-72
Open Access | Times Cited: 9
Predicting stress in first-year college students using sleep data from wearable devices
Laura S. P. Bloomfield, Mikaela Irene Fudolig, Julia N. Kim, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 4, pp. e0000473-e0000473
Open Access | Times Cited: 8
Understanding the Need for Sleep to Improve Cognition
Ruth L.F. Leong, Michael W.L. Chee
Annual Review of Psychology (2022) Vol. 74, Iss. 1, pp. 27-57
Open Access | Times Cited: 35
Pyjamas, Polysomnography and Professional Athletes: The Role of Sleep Tracking Technology in Sport
Matthew Driller, Ian C. Dunican, Shauni E. T. Omond, et al.
Sports (2023) Vol. 11, Iss. 1, pp. 14-14
Open Access | Times Cited: 22
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
Relationship between Problematic Smartphone Use, Sleep Quality and Bedtime Procrastination: A Mediation Analysis
Santiago Correa-Iriarte, Sergio Hidalgo-Fuentes, Manuel Martí Vilar
Behavioral Sciences (2023) Vol. 13, Iss. 10, pp. 839-839
Open Access | Times Cited: 21
Accuracy of Three Commercial Wearable Devices for Sleep Tracking in Healthy Adults
Rebecca Robbins, Matthew D. Weaver, Jason P. Sullivan, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6532-6532
Open Access | Times Cited: 7
Deconstructing Commercial Wearable Technology: Contributions toward Accurate and Free-Living Monitoring of Sleep
Lauren E. Rentz, Hana K. Ulman, Scott M. Galster
Sensors (2021) Vol. 21, Iss. 15, pp. 5071-5071
Open Access | Times Cited: 36
Sleep characterization with smart wearable devices: a call for standardization and consensus recommendations
Mathias Baumert, Martín Cowie, Susan Redline, et al.
SLEEP (2022) Vol. 45, Iss. 12
Open Access | Times Cited: 27
Multi-Night at-Home Evaluation of Improved Sleep Detection and Classification with a Memory-Enhanced Consumer Sleep Tracker
Shohreh Ghorbani, Hosein Aghayan Golkashani, Nicholas I Y N Chee, et al.
Nature and Science of Sleep (2022) Vol. Volume 14, pp. 645-660
Open Access | Times Cited: 23
Selecting a sleep tracker from EEG-based, iteratively improved, low-cost multisensor, and actigraphy-only devices
Ju Lynn Ong, Hosein Aghayan Golkashani, Shohreh Ghorbani, et al.
Sleep Health (2023) Vol. 10, Iss. 1, pp. 9-23
Open Access | Times Cited: 14
Temporal Feature Extraction and Machine Learning for Classification of Sleep Stages Using Telemetry Polysomnography
Utkarsh Lal, M Suhas, Anitha Hoblidar
Brain Sciences (2023) Vol. 13, Iss. 8, pp. 1201-1201
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
The Role of Model Personalization for Sleep Stage and Sleep Quality Recognition Using Wearables
Shkurta Gashi, Lidia Alecci, Elena Di Lascio, et al.
IEEE Pervasive Computing (2022) Vol. 21, Iss. 2, pp. 69-77
Closed Access | Times Cited: 20
“Leave your smartphone out of bed”: quantitative analysis of smartphone use effect on sleep quality
Saba Kheirinejad, Aku Visuri, Denzil Ferreira, et al.
Personal and Ubiquitous Computing (2022) Vol. 27, Iss. 2, pp. 447-466
Open Access | Times Cited: 20
Hyperbaric oxygen for treatment of long COVID-19 syndrome (HOT-LoCO): protocol for a randomised, placebo-controlled, double-blind, phase II clinical trial
Anders Kjellberg, Lina Abdel-Halim, Adrian Hassler, et al.
BMJ Open (2022) Vol. 12, Iss. 11, pp. e061870-e061870
Open Access | Times Cited: 19
Nighttime ambient temperature and sleep in community-dwelling older adults
Amir Baniassadi, Brad Manor, Wanting Yu, et al.
The Science of The Total Environment (2023) Vol. 899, pp. 165623-165623
Open Access | Times Cited: 11
Performance of wearable sleep trackers during nocturnal sleep and periods of simulated real-world smartphone use
Adrian R. Willoughby, Hosein Aghayan Golkashani, Shohreh Ghorbani, et al.
Sleep Health (2024)
Open Access | Times Cited: 4
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