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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:

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

Showing 18 citing articles:

From smartphone data to clinically relevant predictions: A systematic review of digital phenotyping methods in depression
Imogen E. Leaning, Nessa Ikani, Hannah S. Savage, et al.
Neuroscience & Biobehavioral Reviews (2024) Vol. 158, pp. 105541-105541
Open Access | Times Cited: 16
Integration of Artificial Intelligence and Wearable Internet of Things for Mental Health Detection
Wei Wang, Jian Chen, Yuzhu Hu, et al.
International Journal of Cognitive Computing in Engineering (2024) Vol. 5, pp. 307-315
Open Access | Times Cited: 9
Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis
Yuezhou Zhang, Amos Folarin, Shaoxiong Sun, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e55302-e55302
Open Access | Times Cited: 6
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
Uncovering Social States in Healthy and Clinical Populations Using Digital Phenotyping and Hidden Markov Models: Observational Study
Imogen E Leaning, Andrea Costanzo, Raj R. Jagesar, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e64007-e64007
Open Access
Predicting Relapse of Depressive Episodes During Maintenance Treatment: The Canadian Biomarker Integration Network in Depression (CAN-BIND) Wellness Monitoring in Major Depressive Disorder Study: Prédire la rechute d’épisodes dépressifs pendant le traitement d’entretien : Une étude de suivi du bien-être dans les troubles dépressifs majeurs du Réseau canadien d’intégration des biomarqueurs pour la dépression (CAN-BIND)
Raymond W. Lam, Katerina Rnic, John-Jose Nuñez, et al.
The Canadian Journal of Psychiatry (2025)
Closed Access
Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features
Dongju Lim, Jaegwon Jeong, Yun Min Song, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 3
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
Wearables research for continuous monitoring of patient outcomes: A scoping review
Kalee Lodewyk, Madeleine Wiebe, Liz Dennett, et al.
PLOS Digital Health (2025) Vol. 4, Iss. 5, pp. e0000860-e0000860
Open Access
A Template and Tutorial for Preregistering Studies Using Passive Smartphone Measures
Anna M. Langener, Björn S. Siepe, Mahmoud Medhat Elsherif, et al.
(2024)
Open Access | Times Cited: 1
Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform
Zulqarnain Rashid, Amos Folarin, Yuezhou Zhang, et al.
JMIR Mental Health (2024) Vol. 11, pp. e51259-e51259
Open Access | Times Cited: 1
Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized Modeling
Tahsin Mullick, Sam Shaaban, Ana Radović, et al.
JMIR AI (2024) Vol. 3, pp. e47805-e47805
Open Access | Times Cited: 1
Uncovering social states in healthy and clinical populations using digital phenotyping and Hidden Markov Models
Imogen E Leaning, Andrea Costanzo, Raj R. Jagesar, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A template and tutorial for preregistering studies using passive smartphone measures
Anna M. Langener, Björn S. Siepe, Mahmoud Medhat Elsherif, et al.
Behavior Research Methods (2024) Vol. 56, Iss. 8, pp. 8289-8307
Open Access
Overcoming technical hurdles in mobile health: insights from the Fit2ThriveMB breast cancer study
Qirui Guo, Mohan Liu, Yan Li, et al.
Breast Cancer Research and Treatment (2024) Vol. 208, Iss. 2, pp. 467-468
Closed Access
Biomarker-Guided Tailored Therapy in Major Depression
Giampaolo Perna, Alessandro Spiti, Tatiana Torti, et al.
Advances in experimental medicine and biology (2024), pp. 379-400
Closed Access
Uncovering Social States in Healthy and Clinical Populations Using Digital Phenotyping and Hidden Markov Models: Observational Study (Preprint)
Imogen E Leaning, Andrea Costanzo, Raj R. Jagesar, et al.
(2024)
Closed Access
From smartphone data to clinically relevant predictions: A systematic review of digital phenotyping methods in depression
Imogen E. Leaning, Nessa Ikani, Hannah S. Savage, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
From Data Streams to Mental Health Predictions: Improving the use of Passive Measures from Digital Devices
Anna Langener
(2024)
Open Access
Comparison of self-reported and physiological sleep quality from consumer devices to depression and neurocognitive performance
Samir Akre, Zachary D. Cohen, Amelia Welborn, et al.
Research Square (Research Square) (2024)
Open Access
Window-Based Quaternion Principal Component Analysis of Eye Gaze Dynamics for Depression Severity Prediction
Kevin Hung, G.M.T. Man, John Kwok-Tai Chui, et al.
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (2024), pp. 1084-1087
Closed Access
Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis (Preprint)
Yuezhou Zhang, Amos Folarin, Shaoxiong Sun, et al.
(2023)
Open Access
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