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:

Machine learning in mental health: A systematic scoping review of methods and applications
Adrian Shatte, Delyse Hutchinson, Samantha Teague
(2018)
Closed Access | Times Cited: 8

Showing 8 citing articles:

Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data
Isaac Moshe, Yannik Terhorst, Kennedy Opoku Asare, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 190

Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions
Kirsten Zantvoort, Barbara Nacke, Dennis Görlich, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 3

schema: an open-source, distributed mobile platform for deploying mHealth research tools and interventions
Adrian Shatte, Samantha Teague
BMC Medical Research Methodology (2020) Vol. 20, Iss. 1
Open Access | Times Cited: 10

An Research on Online Counseling Platform Based on the Artificial Intelligence Technology
Lulu LIU, Yan Liu
(2022), pp. 110-113
Closed Access | Times Cited: 2

Finding the Best Match – A Case Study on the (Text-)Feature and Model Choice in Digital Mental Health Interventions
Kirsten Zantvoort, Jonas Scharfenberger, Leif Boß, et al.
Research Square (Research Square) (2022)
Open Access

Classification of mental illness from user content on social media
Harsiddhi Singhdev, Vipashi Kansal, Bhaskar Pant
AIP conference proceedings (2022) Vol. 2767, pp. 020006-020006
Closed Access

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