Open Access Helper

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:

Development and validation of a deep learning model to diagnose COVID‐19 using time‐series heart rate values before the onset of symptoms
Heewon Chung, Hoon Ko, Hooseok Lee, et al.
Journal of Medical Virology (2023) Vol. 95, Iss. 2
Closed Access | Times Cited: 8

Showing 8 citing articles:

Quantification of identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy with machine learning: a post hoc analysis of a diagnostic trial and validation of an external additional trial
Jae-Won Kim, Hayeon Lee, Jinseok Lee, et al.
Alzheimer s Research & Therapy (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 22
Machine Learning–Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study
Hyejun Kim, Yejun Son, Hojae Lee, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e55913-e55913
Open Access | Times Cited: 7
Artificial Intelligence–Driven Respiratory Distress Syndrome Prediction for Very Low Birth Weight Infants: Korean Multicenter Prospective Cohort Study
Woocheol Jang, Yong‐Sung Choi, Ji Yoo Kim, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e47612-e47612
Open Access | Times Cited: 6
Limitations of the Cough Sound-Based COVID-19 Diagnosis Artificial Intelligence Model and its Future Direction: Longitudinal Observation Study
Jina Kim, Yong‐Sung Choi, Young Ju Lee, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e51640-e51640
Open Access | Times Cited: 1
Artificial intelligence in the healthcare sector: comparison of deep learning networks using chest X-ray images
Muhammed Akif YENİKAYA, Gökhan Kerse, Onur Oktaysoy
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 1
Few-shot meta-learning for pre-symptomatic detection of Covid-19 from limited health tracker data
Atifa Sarwar, Abdulsalam Almadani, Emmanuel Agu
Smart Health (2024) Vol. 32, pp. 100459-100459
Open Access
Cough Sound Based Deep Learning Models for Diagnosis of COVID-19 Using Statistical Features and Time-Frequency Spectrum
Jina Kim, Jinseok Lee
(2024), pp. 1-4
Closed Access
Machine Learning–Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study (Preprint)
Hyejun Kim, Yejun Son, Hojae Lee, et al.
(2023)
Open Access
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