
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:
Digital phenotyping of student mental health during COVID-19: an observational study of 100 college students
Jennifer R. Melcher, Joël Lavoie, Ryan Hays, et al.
Journal of American College Health (2021) Vol. 71, Iss. 3, pp. 736-748
Closed Access | Times Cited: 34
Jennifer R. Melcher, Joël Lavoie, Ryan Hays, et al.
Journal of American College Health (2021) Vol. 71, Iss. 3, pp. 736-748
Closed Access | Times Cited: 34
Showing 1-25 of 34 citing articles:
Enabling Research and Clinical Use of Patient-Generated Health Data (the mindLAMP Platform): Digital Phenotyping Study
Aditya Vaidyam, John Halamka, John Torous
JMIR mhealth and uhealth (2022) Vol. 10, Iss. 1, pp. e30557-e30557
Open Access | Times Cited: 56
Aditya Vaidyam, John Halamka, John Torous
JMIR mhealth and uhealth (2022) Vol. 10, Iss. 1, pp. e30557-e30557
Open Access | Times Cited: 56
Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence
Daniel Zarate, Vasileios Stavropoulos, M. Bethany Ball, et al.
BMC Psychiatry (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 51
Daniel Zarate, Vasileios Stavropoulos, M. Bethany Ball, et al.
BMC Psychiatry (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 51
Increasing the value of digital phenotyping through reducing missingness: a retrospective review and analysis of prior studies
Danielle Currey, John Torous
BMJ Mental Health (2023) Vol. 26, Iss. 1, pp. e300718-e300718
Open Access | Times Cited: 22
Danielle Currey, John Torous
BMJ Mental Health (2023) Vol. 26, Iss. 1, pp. e300718-e300718
Open Access | Times Cited: 22
Personalized mood prediction from patterns of behavior collected with smartphones
Brunilda Balliu, Chris Douglas, Darsol Seok, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 10
Brunilda Balliu, Chris Douglas, Darsol Seok, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 10
A collaborative realist review of remote measurement technologies for depression in young people
Annabel Walsh, Georgia Naughton, Thomas R. Sharpe, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 3, pp. 480-492
Open Access | Times Cited: 6
Annabel Walsh, Georgia Naughton, Thomas R. Sharpe, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 3, pp. 480-492
Open Access | Times Cited: 6
Capturing the College Experience
Subigya Nepal, Wenjun Liu, Arvind Pillai, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 1, pp. 1-37
Open Access | Times Cited: 6
Subigya Nepal, Wenjun Liu, Arvind Pillai, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 1, pp. 1-37
Open Access | Times Cited: 6
Exploring the Use of Digital Educational Tools for Sexual and Reproductive Health in Sub-Saharan Africa: Systematic Review
Ramatu Hajia Abdul Hamid Alhassan, Catherine L. Haggerty, Abimbola Fapohunda, et al.
JMIR Public Health and Surveillance (2025) Vol. 11, pp. e63309-e63309
Open Access
Ramatu Hajia Abdul Hamid Alhassan, Catherine L. Haggerty, Abimbola Fapohunda, et al.
JMIR Public Health and Surveillance (2025) Vol. 11, pp. e63309-e63309
Open Access
The use of artificial intelligence in mental health services in Turkey: What do mental health professionals think?
Mücahit GÜLTEKİN, Meryem ŞAHİN
Cyberpsychology Journal of Psychosocial Research on Cyberspace (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 4
Mücahit GÜLTEKİN, Meryem ŞAHİN
Cyberpsychology Journal of Psychosocial Research on Cyberspace (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 4
Use of smartphone sensor data in detecting and predicting depression and anxiety in young people (12–25 years): A scoping review
Joanne R Beames, Jin Han, Artur Shvetcov, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35472-e35472
Open Access | Times Cited: 3
Joanne R Beames, Jin Han, Artur Shvetcov, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35472-e35472
Open Access | Times Cited: 3
Digital Phenotyping for Stress, Anxiety, and Mild Depression: Systematic Literature Review
Ann Choi, Aysel Ooi, Danielle Lottridge
JMIR mhealth and uhealth (2023) Vol. 12, pp. e40689-e40689
Open Access | Times Cited: 9
Ann Choi, Aysel Ooi, Danielle Lottridge
JMIR mhealth and uhealth (2023) Vol. 12, pp. e40689-e40689
Open Access | Times Cited: 9
Digital biomarkers in depression: A systematic review and call for standardization and harmonization of feature engineering
Carolin Zierer, Corinna Behrendt, Anja Christina Lepach-Engelhardt
Journal of Affective Disorders (2024) Vol. 356, pp. 438-449
Closed Access | Times Cited: 2
Carolin Zierer, Corinna Behrendt, Anja Christina Lepach-Engelhardt
Journal of Affective Disorders (2024) Vol. 356, pp. 438-449
Closed Access | Times Cited: 2
Classification of Student Mental Health Analysis using Logistic Regression and other classification techniques through Machine Learning Methods
Nishant Pritam, Kanwarpartap Singh Gill, Mukesh Kumar, et al.
(2024)
Closed Access | Times Cited: 2
Nishant Pritam, Kanwarpartap Singh Gill, Mukesh Kumar, et al.
(2024)
Closed Access | Times Cited: 2
Reinventing mental health care in youth through mobile approaches: Current status and future steps
Laura Marciano, Sundas Saboor
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 5
Laura Marciano, Sundas Saboor
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 5
Artificial intelligence and digital worlds: New frontiers of integration between AI and other technological tools
Silvia Francesca Maria Pizzoli, Ilaria Durosini, Milija Strika, et al.
Elsevier eBooks (2024), pp. 63-72
Closed Access | Times Cited: 1
Silvia Francesca Maria Pizzoli, Ilaria Durosini, Milija Strika, et al.
Elsevier eBooks (2024), pp. 63-72
Closed Access | Times Cited: 1
Multiclassification of the symptom severity of social anxiety disorder using digital phenotypes and feature representation learning
Hyoungshin Choi, Yesol Cho, Choongki Min, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
Hyoungshin Choi, Yesol Cho, Choongki Min, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
Digital phenotyping for classification of anxiety severity during COVID-19
Binh Nguyen, Martin Ivanov, Venkat Bhat, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 6
Binh Nguyen, Martin Ivanov, Venkat Bhat, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 6
Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study
Danielle Currey, John Torous
JMIR Research Protocols (2022) Vol. 11, Iss. 11, pp. e37954-e37954
Open Access | Times Cited: 6
Danielle Currey, John Torous
JMIR Research Protocols (2022) Vol. 11, Iss. 11, pp. e37954-e37954
Open Access | Times Cited: 6
Feasibility and Acceptability of Virtual Reality Mindfulness in Residents, Fellows, and Students at a University Medical Campus
Chloe A. Nicksic Sigmon, Susanna Y. Park, Dina Bam, et al.
Mayo Clinic Proceedings Digital Health (2023) Vol. 1, Iss. 4, pp. 467-475
Open Access | Times Cited: 3
Chloe A. Nicksic Sigmon, Susanna Y. Park, Dina Bam, et al.
Mayo Clinic Proceedings Digital Health (2023) Vol. 1, Iss. 4, pp. 467-475
Open Access | Times Cited: 3
Increasing the Value of Digital Phenotyping Through Reducing Missingness: A Retrospective Analysis
Danielle Currey, John Torous
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5
Danielle Currey, John Torous
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5
University students’ sleep during the COVID-19 pandemic in the State of Hawaiʻi
Tracy Trevorrow, Spencer Scanlan, Katherine Aumer, et al.
Journal of American College Health (2023) Vol. 72, Iss. 9, pp. 3651-3661
Closed Access | Times Cited: 2
Tracy Trevorrow, Spencer Scanlan, Katherine Aumer, et al.
Journal of American College Health (2023) Vol. 72, Iss. 9, pp. 3651-3661
Closed Access | Times Cited: 2
Epicosm—a framework for linking online social media in epidemiological cohorts
Alastair R. Tanner, Nina H. Di Cara, Valerio Maggio, et al.
International Journal of Epidemiology (2023) Vol. 52, Iss. 3, pp. 952-957
Open Access | Times Cited: 2
Alastair R. Tanner, Nina H. Di Cara, Valerio Maggio, et al.
International Journal of Epidemiology (2023) Vol. 52, Iss. 3, pp. 952-957
Open Access | Times Cited: 2
Digital Phenotyping Models of Symptom Improvement in College Mental Health: Generalizability Across Two Cohorts
Danielle Currey, Ryan Hays, John Torous
Journal of Technology in Behavioral Science (2023) Vol. 8, Iss. 4, pp. 368-381
Open Access | Times Cited: 2
Danielle Currey, Ryan Hays, John Torous
Journal of Technology in Behavioral Science (2023) Vol. 8, Iss. 4, pp. 368-381
Open Access | Times Cited: 2
Exploring the influence of music education on the development of college mental health based on big data
L. Ling-Chi Wang
Soft Computing (2023) Vol. 27, Iss. 22, pp. 17213-17229
Closed Access | Times Cited: 2
L. Ling-Chi Wang
Soft Computing (2023) Vol. 27, Iss. 22, pp. 17213-17229
Closed Access | Times Cited: 2
Use of Smartphone Sensor Data in Detecting and Predicting Depression and Anxiety in Young People (12-25 Years): A Scoping Review
Joanne R Beames, Jin Han, Artur Shvetcov, et al.
SSRN Electronic Journal (2024)
Closed Access
Joanne R Beames, Jin Han, Artur Shvetcov, et al.
SSRN Electronic Journal (2024)
Closed Access
Ethical concerns of using computer perception technologies among pediatric patients
Anika Sonig, Christine Deeney, Meghan E. Hurley, et al.
AI and Ethics (2024)
Closed Access
Anika Sonig, Christine Deeney, Meghan E. Hurley, et al.
AI and Ethics (2024)
Closed Access