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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:

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

Showing 10 citing articles:

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
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
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
AI-based personalized real-time risk prediction for behavioral management in psychiatric wards using multimodal data
Ri-Ra Kang, Yong-gyom Kim, Minseok Hong, et al.
International Journal of Medical Informatics (2025), pp. 105870-105870
Closed Access
Comprehensive Symptom Prediction in Acute Psychiatric Inpatients Using Wearable-Based Deep Learning Models: Development and Validation Study (Preprint)
Minseok Hong, Ri-Ra Kang, Jeong Hun Yang, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e65994-e65994
Open Access | Times Cited: 1
Detection of Symptoms of Depression Using Data From the iPhone and Apple Watch
Samir Akre, Zachary D. Cohen, Amelia Welborn, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 1818-1823
Closed Access | Times Cited: 2
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
Comprehensive Symptom Prediction for Acute Psychiatric Inpatients: Development and Validation of Wearable–Based Deep Learning Models (Preprint)
Minseok Hong, Ri-Ra Kang, Jeong Hun Yang, et al.
(2024)
Closed Access
No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence
Brandon A. Kohrt, Syed Shabab Wahid, Katherine Ottman, et al.
Cambridge Prisms Global Mental Health (2024) Vol. 11
Open Access
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