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:

Digital phenotyping for classification of anxiety severity during COVID-19
Binh Nguyen, Martin Ivanov, Venkat Bhat, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 6

Showing 6 citing articles:

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

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

Relationships between depression, anxiety, and motivation in the real-world: Effects of physical activity and screentime
J. Beltrán, Yael Jacob, Marishka Mehta, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Telehealth’s Role Enabling Sustainable Innovation and Circular Economies in Health
Dimitrios Kalogeropoulos
Telehealth and Medicine Today (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 2

Visual Characterization of Gathered Data for Digital Phenotyping
Jesús Manuel Olivares Ceja, Adolfo Guzmán Arenas, Cristhian Daniel González Romero, et al.
Lecture notes in networks and systems (2024), pp. 203-211
Closed Access

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

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