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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 1-25 of 136 citing articles:

The genetic basis of major depressive disorder
Jonathan Flint
Molecular Psychiatry (2023) Vol. 28, Iss. 6, pp. 2254-2265
Open Access | Times Cited: 81
Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study
Faith Matcham, Daniel Leightley, Sara Siddi, et al.
BMC Psychiatry (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 77
Evaluating Conversational Agents for Mental Health: Scoping Review of Outcomes and Outcome Measurement Instruments
Ahmad Ishqi Jabir, Laura Martinengo, Xiaowen Lin, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44548-e44548
Open Access | Times Cited: 30
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
Yuezhou Zhang, Abhishek Pratap, Amos Folarin, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 29
Wearable Technology in Clinical Practice for Depressive Disorder
Szymon Fedor, Robert Lewis, Paola Pedrelli, et al.
New England Journal of Medicine (2023) Vol. 389, Iss. 26, pp. 2457-2466
Closed Access | Times Cited: 26
From neural circuits to communities: an integrative multidisciplinary roadmap for global mental health
Michelle G. Craske, Mohammad M. Herzallah, Robin Nusslock, et al.
Nature Mental Health (2023) Vol. 1, Iss. 1, pp. 12-24
Closed Access | Times Cited: 25
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
Differential temporal utility of passively sensed smartphone features for depression and anxiety symptom prediction: a longitudinal cohort study
Caitlin A. Stamatis, Jonah Meyerhoff, Yixuan Meng, et al.
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 11
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
It’s All About Timing: Exploring Different Temporal Resolutions for Analyzing Digital-Phenotyping Data
Anna M. Langener, Gert Stulp, Nicholas C. Jacobson, et al.
Advances in Methods and Practices in Psychological Science (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 7
Sensing behavior change in chronic pain: a scoping review of sensor technology for use in daily life
Diego Vitali, Temitayo Olugbade, Christopher Eccleston, et al.
Pain (2024) Vol. 165, Iss. 6, pp. 1348-1360
Open Access | Times Cited: 7
Advancing digital health equity: Directions for behavioral and social science research
Beth K Jaworski, Monica Webb Hooper, Will M. Aklin, et al.
Translational Behavioral Medicine (2022) Vol. 13, Iss. 3, pp. 132-139
Open Access | Times Cited: 35
A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States
Artūras Kaklauskas, Ajith Abraham, Ieva Ubartė, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7824-7824
Open Access | Times Cited: 27
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis
Shaoxiong Sun, Amos Folarin, Yuezhou Zhang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e45233-e45233
Open Access | Times Cited: 18
Speech Features as Predictors of Momentary Depression Severity in Patients With Depressive Disorder Undergoing Sleep Deprivation Therapy: Ambulatory Assessment Pilot Study
Lisa-Marie Wadle, Ulrich Ebner‐Priemer, Jerome C. Foo, et al.
JMIR Mental Health (2024) Vol. 11, pp. e49222-e49222
Open Access | Times Cited: 5
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model
Yuezhou Zhang, Amos Folarin, Judith Dineley, et al.
Journal of Affective Disorders (2024) Vol. 355, pp. 40-49
Open Access | Times Cited: 5
Bioelectronic Implantable Devices for Physiological Signal Recording and Closed‐Loop Neuromodulation
Saehyuck Oh, Janghwan Jekal, Jia Liu, et al.
Advanced Functional Materials (2024)
Open Access | Times Cited: 5
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 passive data for remote monitoring in psychosis and schizophrenia
Siân Bladon, Emily Eisner, Sandra Bucci, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review
Claire R. van Genugten, Melissa S. Y. Thong, Wouter van Ballegooijen, et al.
Frontiers in Digital Health (2025) Vol. 7
Open Access
Large-scale digital phenotyping: Identifying depression and anxiety indicators in a general UK population with over 10,000 participants
Yuezhou Zhang, Callum Stewart, Yatharth Ranjan, et al.
Journal of Affective Disorders (2025)
Closed Access
Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance
Samir Akre, Zachary D. Cohen, Amelia Welborn, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Applying AI in the Context of the Association Between Device-Based Assessment of Physical Activity and Mental Health: Systematic Review
Simon Woll, Dennis Birkenmaier, Gergely Biri, et al.
JMIR mhealth and uhealth (2025) Vol. 13, pp. e59660-e59660
Open Access
A multidisciplinary approach to prevent student anxiety: a Toolkit for educators
Alberto Freitas, Bruno Costa, Diogo Martinho, et al.
Procedia Computer Science (2025) Vol. 256, pp. 852-860
Open Access
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