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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:

Digital health tools for the passive monitoring of depression: a systematic review of methods
Valeria de Angel, Serena Lewis, Katie M White, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 136

Showing 26-50 of 136 citing articles:

Mobile Health for Obsessive-Compulsive Disorder: Patients' Preferences and Perception of Patient-Centeredness
Ana Isabel Araújo, A.T. Pereira, Isabel Catarina Duarte, et al.
Actas Españolas de Psiquiatría (2025) Vol. 53, Iss. 1, pp. 100-109
Open Access
Emotion Forecasting: A Transformer-Based Approach (Preprint)
Leire Paz-Arbaizar, Jorge López‐Castromán, Antonio Artés‐Rodríguez, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e63962-e63962
Open Access
A systematic review of engagement reporting in remote measurement studies for health symptom tracking
Katie M White, Charlotte Williamson, Nicol Bergou, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 21
Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review
Schenelle Dayna Dlima, Santosh Shevade, Sonia Rebecca Menezes, et al.
JMIR Bioinformatics and Biotechnology (2022) Vol. 3, Iss. 1, pp. e39618-e39618
Open Access | Times Cited: 20
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
Smartphone Ownership, Smartphone Utilization, and Interest in Using Mental Health Apps to Address Substance Use Disorders: Literature Review and Cross-sectional Survey Study Across Two Sites
Michael Hsu, Bianca Martin, Saeed Ahmed, et al.
JMIR Formative Research (2022) Vol. 6, Iss. 7, pp. e38684-e38684
Open Access | Times Cited: 17
Real-world behavioral dataset from two fully remote smartphone-based randomized clinical trials for depression
Abhishek Pratap, Ava Homiar, Luke Waninger, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 14
Clinical Targets and Attitudes Toward Implementing Digital Health Tools for Remote Measurement in Treatment for Depression: Focus Groups With Patients and Clinicians
Valeria de Angel, Serena Lewis, Katie M White, et al.
JMIR Mental Health (2022) Vol. 9, Iss. 8, pp. e38934-e38934
Open Access | Times Cited: 12
Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder
Carolin Oetzmann, Katie M White, Alina Ivan, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 12
Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study
Jodie Nghiem, Daniel A. Adler, Deborah Estrin, et al.
JMIR Formative Research (2023) Vol. 7, pp. e47380-e47380
Open Access | Times Cited: 7
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
Towards a consensus roadmap for a new diagnostic framework for mental disorders
Martien J. Kas, Steven E. Hyman, Leanne M. Williams, et al.
European Neuropsychopharmacology (2024) Vol. 90, pp. 16-27
Open Access | Times Cited: 2
The Passive Monitoring of Depression and Anxiety Among Workers Using Digital Biomarkers Based on Their Physical Activity and Working Conditions: 2-Week Longitudinal Study
Kazuhiro Watanabe, Akizumi Tsutsumi
JMIR Formative Research (2022) Vol. 6, Iss. 11, pp. e40339-e40339
Open Access | Times Cited: 11
Expanding, improving, and understanding behaviour research and therapy through digital mental health
Zachary D. Cohen, Stephen M. Schueller
Behaviour Research and Therapy (2023) Vol. 167, pp. 104358-104358
Closed Access | Times Cited: 6
Depression deconstructed: Wearables and passive digital phenotyping for analyzing individual symptoms
Damien Lekkas, Joseph A. Gyorda, George Price, et al.
Behaviour Research and Therapy (2023) Vol. 168, pp. 104382-104382
Open Access | Times Cited: 6
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
Acceptability of Personal Sensing Among People With Alcohol Use Disorder: Observational Study
Kendra Wyant, Hannah Moshontz, Stephanie B. Ward, et al.
JMIR mhealth and uhealth (2023) Vol. 11, pp. e41833-e41833
Open Access | Times Cited: 5
The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella Review
Laura Marciano, Emanuela Vocaj, Mesfin Awoke Bekalu, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e45540-e45540
Open Access | Times Cited: 5
Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals
Zhiyuan Wang, Maria A. Larrazabal, Mark Rucker, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2023) Vol. 7, Iss. 3, pp. 1-26
Open Access | Times Cited: 5
Detecting adolescent depression through passive monitoring of linguistic markers in smartphone communication
Carter J. Funkhouser, Esha Trivedi, Lilian Y. Li, et al.
Journal of Child Psychology and Psychiatry (2023) Vol. 65, Iss. 7, pp. 932-941
Open Access | Times Cited: 5
The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement
Valeria de Angel, Fadekemi Adeleye, Yuezhou Zhang, et al.
JMIR Mental Health (2022) Vol. 10, pp. e42866-e42866
Open Access | Times Cited: 9
Predicting dimensions of depression from smartphone data
Vincent Holstein, Samir Akre, Ramona Leenings, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study
Scott Breitinger, Manuel Gardea-Reséndez, Carsten Langholm, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e47006-e47006
Open Access | Times Cited: 4
Depression detection via a Chinese social media platform: a novel causal relation-aware deep learning approach
Yang Liu
The Journal of Supercomputing (2023) Vol. 80, Iss. 8, pp. 10327-10356
Closed Access | Times Cited: 4
Dynamic clustering via branched deep learning enhances personalization of stress prediction from mobile sensor data
Yunfei Luo, Iman Deznabi, Abhinav Shaw, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

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