OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Sensors Capabilities, Performance, and Use of Consumer Sleep Technology
Massimiliano de Zambotti, Nicola Cellini, Luca Menghini, et al.
Sleep Medicine Clinics (2020) Vol. 15, Iss. 1, pp. 1-30
Open Access | Times Cited: 76

Showing 1-25 of 76 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: 80

Artificial intelligence in psychiatry research, diagnosis, and therapy
Jie Sun, Qunxi Dong, San-Wang Wang, et al.
Asian Journal of Psychiatry (2023) Vol. 87, pp. 103705-103705
Closed Access | Times Cited: 69

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: 51

Evaluating Accuracy in Five Commercial Sleep-Tracking Devices Compared to Research-Grade Actigraphy and Polysomnography
Kyle A. Kainec, Jamie Caccavaro, Morgan Barnes, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 635-635
Open Access | Times Cited: 21

A standardized framework for testing the performance of sleep-tracking technology: step-by-step guidelines and open-source code
Luca Menghini, Nicola Cellini, Aimée Goldstone, et al.
SLEEP (2020) Vol. 44, Iss. 2
Open Access | Times Cited: 113

Performance of a commercial multi-sensor wearable (Fitbit Charge HR) in measuring physical activity and sleep in healthy children
Job Godino, David Wing, Massimiliano de Zambotti, et al.
PLoS ONE (2020) Vol. 15, Iss. 9, pp. e0237719-e0237719
Open Access | Times Cited: 80

Rigorous performance evaluation (previously, “validation”) for informed use of new technologies for sleep health measurement
Massimiliano de Zambotti, Luca Menghini, Michael A. Grandner, et al.
Sleep Health (2022) Vol. 8, Iss. 3, pp. 263-269
Open Access | Times Cited: 44

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

Association of Demographic and Socioeconomic Indicators With the Use of Wearable Devices Among Children
Ethan Kim, Jessica L. Jenness, Adam Bryant Miller, et al.
JAMA Network Open (2023) Vol. 6, Iss. 3, pp. e235681-e235681
Open Access | Times Cited: 23

<p>Evaluations of Commercial Sleep Technologies for Objective Monitoring During Routine Sleeping Conditions</p>
Jason D. Stone, Lauren E. Rentz, Jillian D. Forsey, et al.
Nature and Science of Sleep (2020) Vol. Volume 12, pp. 821-842
Open Access | Times Cited: 68

Artificial intelligence and sleep: Advancing sleep medicine
Nathaniel F. Watson, Christopher R. Fernandez
Sleep Medicine Reviews (2021) Vol. 59, pp. 101512-101512
Closed Access | Times Cited: 50

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: 31

Consumer Wearable Health and Fitness Technology in Cardiovascular Medicine
Bradley J. Petek, Mostafa A. Al‐Alusi, Nathaniel Moulson, et al.
Journal of the American College of Cardiology (2023) Vol. 82, Iss. 3, pp. 245-264
Closed Access | Times Cited: 20

Performance of Fitbit Charge 3 against polysomnography in measuring sleep in adolescent boys and girls
Luca Menghini, Dilara Yüksel, Aimée Goldstone, et al.
Chronobiology International (2021) Vol. 38, Iss. 7, pp. 1010-1022
Open Access | Times Cited: 35

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: 34

Evaluating consumer and clinical sleep technologies: an American Academy of Sleep Medicine update
Sharon Schutte-Rodin, Maryann C. Deak, Seema Khosla, et al.
Journal of Clinical Sleep Medicine (2021) Vol. 17, Iss. 11, pp. 2275-2282
Open Access | Times Cited: 34

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: 22

Performance of a multisensor smart ring to evaluate sleep: in-lab and home-based evaluation of generalized and personalized algorithms
Michael A. Grandner, Zohar Bromberg, Aaron J. Hadley, et al.
SLEEP (2022) Vol. 46, Iss. 1
Open Access | Times Cited: 22

Is it Time to Include Wearable Sleep Trackers in the Applied Psychologists’ Toolbox?
Luca Menghini, Cristian Balducci, Massimiliano de Zambotti
The Spanish Journal of Psychology (2024) Vol. 27
Open Access | Times Cited: 4

Strengths, weaknesses, opportunities and threats of using AI-enabled technology in sleep medicine: a commentary
Anuja Bandyopadhyay, Margarita Oks, Haoqi Sun, et al.
Journal of Clinical Sleep Medicine (2024) Vol. 20, Iss. 7, pp. 1183-1191
Closed Access | Times Cited: 4

Psychophysiological stress response, emotion dysregulation and sleep parameters as predictors of psychopathology in adolescents and young adults
Caroline L M Herber, Christoph Breuninger, Brunna Tuschen‐Caffier
Journal of Affective Disorders (2025)
Closed Access

Nurses’ Perspectives on the Sleep Quality of Hospitalized Patients in Al Ahsa, Saudi Arabia
Rabie Adel El Arab, Husam Alzghoul, Mohammad S. Abu‐Mahfouz, et al.
Nursing Reports (2025) Vol. 15, Iss. 2, pp. 54-54
Open Access

Sleep as a window of cardiometabolic health: The potential of digital sleep and circadian biomarkers
W van den Brink, Johanneke E. Oosterman, Dagmar J Smid, et al.
Digital Health (2025) Vol. 11
Open Access

A Comprehensive Review of Home Sleep Monitoring Technologies: Smartphone Apps, Smartwatches, and Smart Mattresses
Bhekumuzi M. Mathunjwa, Randy Yan Jie Kor, Wanida Ngarnkuekool, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1771-1771
Open Access

Trait-like nocturnal sleep behavior identified by combining wearable, phone-use, and self-report data
Stijn A.A. Massar, Xin Yu Chua, Chun Siong Soon, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 27

Page 1 - Next Page

Scroll to top