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.

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Showing 11 citing articles:

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: 3

mHealth Intervention to Promote Physical Activity Among Employees Using a Deep Learning Model for Passive Monitoring of Depression and Anxiety: Single-Arm Feasibility Trial
Kazuhiro Watanabe, Shoichi Okusa, Mitsuhiro Sato, et al.
JMIR Formative Research (2023) Vol. 7, pp. e51334-e51334
Open Access | Times Cited: 9

A systematic literature review and analysis of deep learning algorithms in mental disorders
Goli Arji, Leila Erfannia, Samira alirezaei, et al.
Informatics in Medicine Unlocked (2023) Vol. 40, pp. 101284-101284
Open Access | Times Cited: 7

Workers’ perceptions of mHealth services for physical activity and mental health: A qualitative study using a text-mining method
Kazuhiro Watanabe, Akizumi Tsutsumi
Environmental and Occupational Health Practice (2023) Vol. 5, Iss. 1, pp. n/a-n/a
Open Access | Times Cited: 5

Detection of potential anxiety in social media based on multimodal fusion with deep learning methods
Shuzhong Lai, Zepeng Li
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 26, pp. 560-566
Closed Access | Times Cited: 1

Wearable Wellness: Depression Screening via Fitbit Data Collected During COVID-19 Pandemic
Nikola Grozdani, A. A. Ramos Muñoz, Alexander Pietrick, et al.
(2023), pp. 1-5
Closed Access

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