Open Access Helper

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:

Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and the Effect of User-Specific Factors
Zilu Liang, Mario Alberto Chapa Martell
JMIR mhealth and uhealth (2019) Vol. 7, Iss. 6, pp. e13384-e13384
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Pre-symptomatic detection of COVID-19 from smartwatch data
Tejaswini Mishra, Meng Wang, Ahmed A. Metwally, et al.
Nature Biomedical Engineering (2020) Vol. 4, Iss. 12, pp. 1208-1220
Open Access | Times Cited: 412
Clinical Applications of Mobile Health Wearable–Based Sleep Monitoring: Systematic Review
Élise Guillodo, Christophe Lemey, Mathieu Simonnet, et al.
JMIR mhealth and uhealth (2019) Vol. 8, Iss. 4, pp. e10733-e10733
Open Access | Times Cited: 140
Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study
Yuezhou Zhang, Amos Folarin, Shaoxiong Sun, et al.
JMIR mhealth and uhealth (2021) Vol. 9, Iss. 4, pp. e24604-e24604
Open Access | Times Cited: 89
Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling
Yuri Rykov, TQ Thach, Iva Bojić, et al.
JMIR mhealth and uhealth (2021) Vol. 9, Iss. 10, pp. e24872-e24872
Open Access | Times Cited: 87
A Systematic Review of the Use of Commercial Wearable Activity Trackers for Monitoring Recovery in Individuals Undergoing Total Hip Replacement Surgery
Nasibeh Babaei, Negin Hannani, Nader Jafarnia Dabanloo, et al.
Cyborg and Bionic Systems (2022) Vol. 2022
Open Access | Times Cited: 40
Validation of Fitbit Charge 2 Sleep and Heart Rate Estimates Against Polysomnographic Measures in Shift Workers: Naturalistic Study
Benjamin Stucky, Ian D. Clark, Yasmine Azza, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 10, pp. e26476-e26476
Open Access | Times Cited: 42
From wearable sensor data to digital biomarker development: ten lessons learned and a framework proposal
Paola Daniore, Vasileios Nittas, Christina Haag, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8
A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers
Zilu Liang, Mario Alberto Chapa Martell
Frontiers in Digital Health (2021) Vol. 3
Open Access | Times Cited: 35
Sleep and seizure risk in epilepsy: bed and wake times are more important than sleep duration
Rachel E. Stirling, Cindy M. Hidajat, David B. Grayden, et al.
Brain (2022) Vol. 146, Iss. 7, pp. 2803-2813
Open Access | Times Cited: 25
Using New Technologies and Wearables for Characterizing Sleep in Population-based Studies
Stuti J. Jaiswal, Jeff Pawelek, Shiri Warshawsky, et al.
Current Sleep Medicine Reports (2024) Vol. 10, Iss. 1, pp. 82-92
Open Access | Times Cited: 5
Present and Future of Digital Health in Diabetes and Metabolic Disease
Sang Youl Rhee, Chiweon Kim, Dong Wook Shin, et al.
Diabetes & Metabolism Journal (2020) Vol. 44, Iss. 6, pp. 819-827
Open Access | Times Cited: 36
Technologic advances in the assessment and management of obstructive sleep apnoea beyond the apnoea-hypopnoea index: a narrative review
Anne O’Mahony, John Garvey, Walter T. McNicholas
Journal of Thoracic Disease (2020) Vol. 12, Iss. 9, pp. 5020-5038
Open Access | Times Cited: 35
Data fusion of mobile and environmental sensing devices to understand the effect of the indoor environment on measured and self-reported sleep quality
Hagen Fritz, Kerry A. Kinney, Congyu Wu, et al.
Building and Environment (2022) Vol. 214, pp. 108835-108835
Closed Access | Times Cited: 19
Validation of Zulu Watch against Polysomnography and Actigraphy for On-Wrist Sleep-Wake Determination and Sleep-Depth Estimation
Jaime K. Devine, Evan D. Chinoy, Rachel R. Markwald, et al.
Sensors (2020) Vol. 21, Iss. 1, pp. 76-76
Open Access | Times Cited: 29
Examining the Agreement Between Subjective and Objective Measures of Sleep: A Comparison of Munich Chronotype Questionnaire and Fitbit‐Derived Sleep Metrics
Kayla E. Rohr, Michael L. Thomas, Michael J. McCarthy, et al.
Journal of Sleep Research (2025)
Closed Access
How Does Fitbit Measure Brainwaves
Zilu Liang, Bernd Ploderer
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2020) Vol. 4, Iss. 1, pp. 1-29
Open Access | Times Cited: 26
Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology
Daniel Leightley, Grace Lavelle, Katie M White, et al.
BMC Psychiatry (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 21
End-to-End Sleep Staging Using Nocturnal Sounds from Microphone Chips for Mobile Devices
Joonki Hong, Haï Tran, Jinhwan Jung, et al.
Nature and Science of Sleep (2022) Vol. Volume 14, pp. 1187-1201
Open Access | Times Cited: 16
Predicting Subjective Recovery from Lower Limb Surgery Using Consumer Wearables
Marta Karas, Nikki Marinsek, Jörg Goldhahn, et al.
Digital Biomarkers (2020) Vol. 4, Iss. Suppl. 1, pp. 73-86
Open Access | Times Cited: 22
Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands
Zilu Liang, Mario Alberto Chapa Martell
(2019), pp. 1-3
Closed Access | Times Cited: 20
Performance of Fitbit Devices as Tools for Assessing Sleep Patterns and Associated Factors
Ji‐Eun Park, Eun Kyoung Ahn, Kyuhyun Yoon, et al.
Journal of Sleep Medicine (2024) Vol. 21, Iss. 2, pp. 59-64
Open Access | Times Cited: 2
Evaluating the Relationship Between Fitbit Sleep Data and Self-Reported Mood, Sleep, and Environmental Contextual Factors in Healthy Adults: Pilot Observational Cohort Study
Darshan Thota
JMIR Formative Research (2020) Vol. 4, Iss. 9, pp. e18086-e18086
Open Access | Times Cited: 18
Validity of Two Consumer Multisport Activity Tracker and One Accelerometer against Polysomnography for Measuring Sleep Parameters and Vital Data in a Laboratory Setting in Sleep Patients
Mario Budig, Riccardo Stoohs, Michael Keiner
Sensors (2022) Vol. 22, Iss. 23, pp. 9540-9540
Open Access | Times Cited: 10
Characterisation of ICU sleep by a commercially available activity tracker and its agreement with patient-perceived sleep quality
Patricia Louzon, Jessica Andrews, Xavier Torres, et al.
BMJ Open Respiratory Research (2020) Vol. 7, Iss. 1, pp. e000572-e000572
Open Access | Times Cited: 16
The Interactive Role of Sleep and Circadian Rhythms in Episodic Memory in Older Adults
Elyse J Carlson, Kristine A. Wilckens, Mark E. Wheeler
The Journals of Gerontology Series A (2023) Vol. 78, Iss. 10, pp. 1844-1852
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top