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:
A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study
Soumya Choudhary, Nikita Thomas, Janine Ellenberger, et al.
JMIR Formative Research (2022) Vol. 6, Iss. 5, pp. e37736-e37736
Open Access | Times Cited: 16
Soumya Choudhary, Nikita Thomas, Janine Ellenberger, et al.
JMIR Formative Research (2022) Vol. 6, Iss. 5, pp. e37736-e37736
Open Access | Times Cited: 16
Showing 16 citing articles:
Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health
Antoine Oudin, Redwan Maatoug, Alexis Bourla, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44502-e44502
Open Access | Times Cited: 43
Antoine Oudin, Redwan Maatoug, Alexis Bourla, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44502-e44502
Open Access | Times Cited: 43
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: 4
Carolin Zierer, Corinna Behrendt, Anja Christina Lepach-Engelhardt
Journal of Affective Disorders (2024) Vol. 356, pp. 438-449
Closed Access | Times Cited: 4
Machine learning applied to digital phenotyping: A systematic literature review and taxonomy
Marília Pit dos Santos, Wesllei Felipe Heckler, Rodrigo Simon Bavaresco, et al.
Computers in Human Behavior (2024) Vol. 161, pp. 108422-108422
Closed Access | Times Cited: 4
Marília Pit dos Santos, Wesllei Felipe Heckler, Rodrigo Simon Bavaresco, et al.
Computers in Human Behavior (2024) Vol. 161, pp. 108422-108422
Closed Access | Times Cited: 4
A Machine Learning Approach for Continuous Mining of Nonidentifiable Smartphone Data to Create a Novel Digital Biomarker Detecting Generalized Anxiety Disorder: Prospective Cohort Study
Soumya Choudhary, Nikita Thomas, Sultan Alshamrani, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 8, pp. e38943-e38943
Open Access | Times Cited: 17
Soumya Choudhary, Nikita Thomas, Sultan Alshamrani, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 8, pp. e38943-e38943
Open Access | Times Cited: 17
Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition (Preprint)
Andrea P. Garzón‐Partida, Kimberly Magaña-Plascencia, Diana Fernández, et al.
(2025)
Closed Access
Andrea P. Garzón‐Partida, Kimberly Magaña-Plascencia, Diana Fernández, et al.
(2025)
Closed Access
A machine learning model using clinical notes to estimate PHQ-9 symptom severity scores in depressed patients
Pedro Alves, Carl D. Marci, Chandra J. Cohen-Stavi, et al.
Journal of Affective Disorders (2025) Vol. 376, pp. 216-224
Closed Access
Pedro Alves, Carl D. Marci, Chandra J. Cohen-Stavi, et al.
Journal of Affective Disorders (2025) Vol. 376, pp. 216-224
Closed Access
Digital phenotyping for mental health based on data analytics: A systematic literature review
Wesllei Felipe Heckler, Luan Paris Feijó, Juliano Varella de Carvalho, et al.
Artificial Intelligence in Medicine (2025) Vol. 163, pp. 103094-103094
Closed Access
Wesllei Felipe Heckler, Luan Paris Feijó, Juliano Varella de Carvalho, et al.
Artificial Intelligence in Medicine (2025) Vol. 163, pp. 103094-103094
Closed Access
Utilizing Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: A Systematic Review (Preprint)
Rongrong Zhong, Xiaohui Wu, Jun Chen, et al.
Journal of Medical Internet Research (2025)
Open Access
Rongrong Zhong, Xiaohui Wu, Jun Chen, et al.
Journal of Medical Internet Research (2025)
Open Access
Investigating the Feasibility of Assessing Depression Severity and Valence-Arousal with Wearable Sensors Using Discrete Wavelet Transforms and Machine Learning
Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, et al.
Information (2022) Vol. 13, Iss. 9, pp. 406-406
Open Access | Times Cited: 16
Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, et al.
Information (2022) Vol. 13, Iss. 9, pp. 406-406
Open Access | Times Cited: 16
Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment
Dillan Imans, Tamer Abuhmed, Meshal Alharbi, et al.
Diagnostics (2024) Vol. 14, Iss. 21, pp. 2385-2385
Open Access | Times Cited: 2
Dillan Imans, Tamer Abuhmed, Meshal Alharbi, et al.
Diagnostics (2024) Vol. 14, Iss. 21, pp. 2385-2385
Open Access | Times Cited: 2
Detecting adolescent depression in social media: A hierarchical ensemble learning approach
Tianyu Sheng, Wenzhen Cai, Junlin Huang, et al.
Theoretical and Natural Science (2024) Vol. 43, Iss. 1, pp. 312-325
Open Access | Times Cited: 1
Tianyu Sheng, Wenzhen Cai, Junlin Huang, et al.
Theoretical and Natural Science (2024) Vol. 43, Iss. 1, pp. 312-325
Open Access | Times Cited: 1
Lifestyle factors and other predictors of common mental disorders in diagnostic machine learning studies: A systematic review
Emma Todd, Rebecca Orr, Elizabeth Gamage, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109521-109521
Open Access
Emma Todd, Rebecca Orr, Elizabeth Gamage, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109521-109521
Open Access
A Survey of Machine Learning Approaches for Detecting Depression Using Smartphone Data
Zahra Solatidehkordi, Jayroop Ramesh, Michel Pasquier, et al.
(2022), pp. 184-190
Closed Access | Times Cited: 1
Zahra Solatidehkordi, Jayroop Ramesh, Michel Pasquier, et al.
(2022), pp. 184-190
Closed Access | Times Cited: 1
Revue critique sur le potentiel du numérique dans la recherche en psychopathologie : un point de vue psychanalytique
Rémy Potier
L Évolution Psychiatrique (2022) Vol. 87, Iss. 4, pp. 729-753
Open Access | Times Cited: 1
Rémy Potier
L Évolution Psychiatrique (2022) Vol. 87, Iss. 4, pp. 729-753
Open Access | Times Cited: 1
The Importance of Using Binary Classification Models in Predicting Depression from a Machine Learning Perspective
Soumya Choudhary, Girish Srinivasan
Digital Medicine and Healthcare Technology (2022) Vol. 2022, pp. 1-4
Open Access | Times Cited: 1
Soumya Choudhary, Girish Srinivasan
Digital Medicine and Healthcare Technology (2022) Vol. 2022, pp. 1-4
Open Access | Times Cited: 1
Rethinking Driving Assessment: A Hypothesis-Driven Proposal for Cognitive Evaluation
Jose L. Tapia, Jon Andoni Duñabeitia
OBM Neurobiology (2023) Vol. 07, Iss. 04, pp. 1-13
Open Access
Jose L. Tapia, Jon Andoni Duñabeitia
OBM Neurobiology (2023) Vol. 07, Iss. 04, pp. 1-13
Open Access
