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:

Relationship Between Chronic Stress and Heart Rate Over Time Modulated by Gender in a Cohort of Office Workers: Cross-Sectional Study Using Wearable Technologies
Alex van Kraaij, Giuseppina Schiavone, Erika Lutin, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 9, pp. e18253-e18253
Open Access | Times Cited: 19

Showing 19 citing articles:

Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review
Blake Anthony Hickey, Taryn Chalmers, Phillip J. Newton, et al.
Sensors (2021) Vol. 21, Iss. 10, pp. 3461-3461
Open Access | Times Cited: 182

Modern Smart Gadgets and Wearables for Diagnosis and Management of Stress, Wellness, and Anxiety: A Comprehensive Review
Aman Jolly, Vikas Pandey, Manoj Sahni, et al.
Healthcare (2025) Vol. 13, Iss. 4, pp. 411-411
Open Access | Times Cited: 1

Wearables for Stress Management: A Scoping Review
María Luisa González-Ramírez, Juan Pablo Garćıa-Vázquez, Marcela D. Rodríguez, et al.
Healthcare (2023) Vol. 11, Iss. 17, pp. 2369-2369
Open Access | Times Cited: 16

Enhancing Stress Detection: A Comprehensive Approach through rPPG Analysis and Deep Learning Techniques
Laura Fontes, Pedro Machado, Doratha Vinkemeier, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1096-1096
Open Access | Times Cited: 5

Self-Management of Subclinical Common Mental Health Disorders (Anxiety, Depression and Sleep Disorders) Using Wearable Devices
Tony Robinson, Joan Condell, Elaine Ramsey, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 3, pp. 2636-2636
Open Access | Times Cited: 12

Enhancing Stress Detection: A Comprehensive Approach through rPPG Analysis and Deep Learning Techniques
Laura Fontes, Pedro Machado, Doratha Vinkemeier, et al.
(2024)
Open Access | Times Cited: 3

Is reduced heart rate variability associated with functional somatic disorders? A cross-sectional population-based study; DanFunD
Torben Jørgensen, Thomas Meinertz Dantoft, Marie Weinreich Petersen, et al.
BMJ Open (2024) Vol. 14, Iss. 2, pp. e073909-e073909
Open Access | Times Cited: 3

Stress-induced increase in heart-rate during sleep as an indicator of PTSD risk among combat soldiers
Lisa Simon, S. Levi, Shachar Shapira, et al.
SLEEP (2024)
Closed Access | Times Cited: 3

Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint
Ieuan Clay, Francesca Cormack, Szymon Fedor, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 5, pp. e35951-e35951
Open Access | Times Cited: 8

Computationally intelligent workflow for improved psychotherapy interventions: an ontology-based approach
Kaneeka Vidanage, Noor Maizura Mohamad Noor, Sanduni Sathsara
International Journal of Information Technology (2024)
Closed Access | Times Cited: 1

Predicting Chronic Stress among Healthy Females Using Daily-Life Physiological and Lifestyle Features from Wearable Sensors
Noa Magal, Sharona L. Rab, Pavel Goldstein, et al.
Chronic Stress (2022) Vol. 6
Open Access | Times Cited: 7

Reinforcing Positive Cognitive States with Machine Learning: An Experimental Modeling for Preventive Healthcare
Swapnil Morandé, Veena Tewari, Kanwal Gul
IntechOpen eBooks (2022)
Open Access | Times Cited: 6

Toward Designs of Workplace Stress Management Mobile Apps for Frontline Health Workers During the COVID-19 Pandemic and Beyond: Mixed Methods Qualitative Study
Beenish Moalla Chaudhry, Ashraful Islam, Monica M. Matthieu
JMIR Formative Research (2021) Vol. 6, Iss. 1, pp. e30640-e30640
Open Access | Times Cited: 4

Smartphones and Wristbands Detect Stress as Good as Intrusive Physiological Devices
Gema Bello-Orgaz, Héctor D. Menéndez
Lecture notes in networks and systems (2024), pp. 308-319
Closed Access

Using Wearables to Unobtrusively Identify Periods of Stress in a Real University Environment
Peter Neigel, Andrew Vargo, Benjamin Tag, et al.
(2024), pp. 17-24
Closed Access

A Review of Tools and Methods for Detection, Analysis, and Prediction of Allostatic Load Due to Workplace Stress
Karl Magtibay, Karthikeyan Umapathy
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 1, pp. 357-375
Closed Access | Times Cited: 1

Het gebruik van wearables bij chronische stress en burn-out
P. Custers, M. Verbrugghe, Lutgart Braeckman
Tijdschrift voor Geneeskunde (2021)
Closed Access | Times Cited: 1

Page 1

Scroll to top