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:

Discovery and Analytical Validation of a Vocal Biomarker to Monitor Anosmia and Ageusia in Patients With COVID-19: Cross-sectional Study
Eduardo Higa, Abir Elbéji, Lu Zhang, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 11, pp. e35622-e35622
Open Access | Times Cited: 7

Showing 7 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

Voice as a Biomarker in Health‐Tech: Mapping the Evolving Landscape of Voice Biomarkers in the Start‐Up World
Emily Evangelista, Jean‐Christophe Bélisle‐Pipon, Matthew R. Naunheim, et al.
Otolaryngology (2024) Vol. 171, Iss. 2, pp. 340-352
Closed Access | Times Cited: 1

Current Practices in Voice Data Collection and Limitations to Voice AI Research: A National Survey
Emily Evangelista, Rohan Kale, Desiree McCutcheon, et al.
The Laryngoscope (2023) Vol. 134, Iss. 3, pp. 1333-1339
Closed Access | Times Cited: 2

Digital Biomarkers for the Assessment of Non-Cognitive Symptoms in Patients with Dementia with Lewy Bodies: A Systematic Review
Nikolai Sulkjær Sjælland, Mathias Holsey Gramkow, Steen Gregers Hasselbalch, et al.
Journal of Alzheimer s Disease (2024) Vol. 100, Iss. 2, pp. 431-451
Open Access

Co-design of a voice-based app to monitor long COVID symptoms with its end-users: A mixed-method study
Aurélie Fischer, Gloria Aguayo, India Pinker, et al.
Digital Health (2024) Vol. 10
Open Access

Co-Design of a Voice-Based Digital Health Solution to Monitor Persisting Symptoms Related to COVID-19 (UpcomingVoice Study): Protocol for a Mixed Methods Study
Aurélie Fischer, Gloria Aguayo, Pauline Oustric, et al.
JMIR Research Protocols (2023) Vol. 12, pp. e46103-e46103
Open Access | Times Cited: 1

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