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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:

Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study
Sohrab Saeb, Mi Zhang, Chris Karr, et al.
Journal of Medical Internet Research (2015) Vol. 17, Iss. 7, pp. e175-e175
Open Access | Times Cited: 728

Showing 1-25 of 728 citing articles:

Major depressive disorder
Christian Otte, Stefan M. Gold, Brenda W.J.H. Penninx, et al.
Nature Reviews Disease Primers (2016) Vol. 2, Iss. 1
Open Access | Times Cited: 1680
Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning
David C. Mohr, Mi Zhang, Stephen M. Schueller
Annual Review of Clinical Psychology (2017) Vol. 13, Iss. 1, pp. 23-47
Open Access | Times Cited: 687
New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research
John Torous, Mathew V. Kiang, Jeanette Lorme, et al.
JMIR Mental Health (2016) Vol. 3, Iss. 2, pp. e16-e16
Open Access | Times Cited: 617
Facebook language predicts depression in medical records
Johannes C. Eichstaedt, Robert J. Smith, Raina M. Merchant, et al.
Proceedings of the National Academy of Sciences (2018) Vol. 115, Iss. 44, pp. 11203-11208
Open Access | Times Cited: 588
Using Smartphones to Collect Behavioral Data in Psychological Science
Gabriella M. Harari, Nicholas D. Lane, Rui Wang, et al.
Perspectives on Psychological Science (2016) Vol. 11, Iss. 6, pp. 838-854
Open Access | Times Cited: 484
The impact of digital technology on psychological treatments and their dissemination
Christopher G. Fairburn, Vikram Patel
Behaviour Research and Therapy (2017) Vol. 88, pp. 19-25
Open Access | Times Cited: 427
The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial
Patricia A. Areán, Kevin A. Hallgren, Joshua T. Jordan, et al.
Journal of Medical Internet Research (2016) Vol. 18, Iss. 12, pp. e330-e330
Open Access | Times Cited: 386
Smartphone Sensors for Health Monitoring and Diagnosis
Sumit Majumder, M. Jamal Deen
Sensors (2019) Vol. 19, Iss. 9, pp. 2164-2164
Open Access | Times Cited: 367
The WPA- Lancet Psychiatry Commission on the Future of Psychiatry
Dinesh Bhugra, Allan Tasman, Soumitra Pathare, et al.
The Lancet Psychiatry (2017) Vol. 4, Iss. 10, pp. 775-818
Open Access | Times Cited: 364
Relapse prediction in schizophrenia through digital phenotyping: a pilot study
Ian Barnett, John Torous, Patrick Staples, et al.
Neuropsychopharmacology (2018) Vol. 43, Iss. 8, pp. 1660-1666
Open Access | Times Cited: 357
A Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression
Anna Huguet, Sanjay Rao, Patrick J. McGrath, et al.
PLoS ONE (2016) Vol. 11, Iss. 5, pp. e0154248-e0154248
Open Access | Times Cited: 355
Systematic review of smartphone-based passive sensing for health and wellbeing
Victor P. Cornet, Richard J. Holden
Journal of Biomedical Informatics (2017) Vol. 77, pp. 120-132
Open Access | Times Cited: 335
The relationship between mobile phone location sensor data and depressive symptom severity
Sohrab Saeb, Emily G. Lattie, Stephen M. Schueller, et al.
PeerJ (2016) Vol. 4, pp. e2537-e2537
Open Access | Times Cited: 310
Three Problems With Current Digital Mental Health Research . . . and Three Things We Can Do About Them
David C. Mohr, Ken Weingardt, Madhu Reddy, et al.
Psychiatric Services (2017) Vol. 68, Iss. 5, pp. 427-429
Open Access | Times Cited: 298
Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study
Akane Sano, Sara Taylor, Andrew W. McHill, et al.
Journal of Medical Internet Research (2018) Vol. 20, Iss. 6, pp. e210-e210
Open Access | Times Cited: 295
Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety
Kit Huckvale, Svetha Venkatesh, Helen Christensen
npj Digital Medicine (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 293
Digital interventions for the treatment of depression: A meta-analytic review.
Isaac Moshe, Yannik Terhorst, Paula Philippi, et al.
Psychological Bulletin (2021) Vol. 147, Iss. 8, pp. 749-786
Closed Access | Times Cited: 293
Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing
Rui Wang, Weichen Wang, Alex W DaSilva, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2018) Vol. 2, Iss. 1, pp. 1-26
Closed Access | Times Cited: 292
Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild
Fabian Wahle, Tobias Kowatsch, Elgar Fleisch, et al.
JMIR mhealth and uhealth (2016) Vol. 4, Iss. 3, pp. e111-e111
Open Access | Times Cited: 287
AI in Health: State of the Art, Challenges, and Future Directions
Fei Wang, Anita M. Preininger
Yearbook of Medical Informatics (2019) Vol. 28, Iss. 01, pp. 016-026
Open Access | Times Cited: 281
Direct Measurements of Smartphone Screen-Time: Relationships with Demographics and Sleep
Matthew A. Christensen, Laura Bettencourt, Leanne Kaye, et al.
PLoS ONE (2016) Vol. 11, Iss. 11, pp. e0165331-e0165331
Open Access | Times Cited: 268
Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure
Sara Thomée
International Journal of Environmental Research and Public Health (2018) Vol. 15, Iss. 12, pp. 2692-2692
Open Access | Times Cited: 261
CrossCheck
Rui Wang, Min Hane Aung, Saeed Abdullah, et al.
(2016), pp. 886-897
Open Access | Times Cited: 244
Smartphone sensing methods for studying behavior in everyday life
Gabriella M. Harari, Sandrine R. Müller, Min Hane Aung, et al.
Current Opinion in Behavioral Sciences (2017) Vol. 18, pp. 83-90
Open Access | Times Cited: 239
The need to approximate the use-case in clinical machine learning
Sohrab Saeb, Luca Lonini, Arun Jayaraman, et al.
GigaScience (2017) Vol. 6, Iss. 5
Open Access | Times Cited: 235
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