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:

Prediction of SARS-CoV-2 infection with a Symptoms-Based model to aid public health decision making in Latin America and other low and middle income settings
Andrea Ramírez Varela, Sergio Moreno, Sandra Contreras‐Arrieta, et al.
Preventive Medicine Reports (2022) Vol. 27, pp. 101798-101798
Open Access | Times Cited: 10

Showing 10 citing articles:

The application of artificial intelligence in health policy: a scoping review
Maryam Ramezani, Amirhossein Takian, Ahad Bakhtiari, et al.
BMC Health Services Research (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 16

Deep representation learning from electronic medical records identifies distinct symptom based subtypes and progression patterns for COVID-19 prognosis
Qiguang Zheng, Qifan Shen, Zixin Shu, et al.
International Journal of Medical Informatics (2024) Vol. 191, pp. 105555-105555
Closed Access

Symptoms Predicting SARS-CoV-2 Test Results in Resident Physicians and Fellows in New York City
Tania Chen, Meizhen Yao, Vishal Midya, et al.
COVID (2023) Vol. 3, Iss. 5, pp. 671-681
Open Access | Times Cited: 1

The Application of Artificial Intelligence in Health Policy: A Scoping Review
Maryam Ramezani, Amirhossein Takian, Ahad Bakhtiari, et al.
Research Square (Research Square) (2023)
Open Access

El impacto de la inteligencia artificial en la atención de la salud. Perspectivas y enfoques para América Latina y el Caribe.
Martín Sabán, Santiago Esteban, Adolfo Rubinstein, et al.
The Global Health Network eBooks (2023)
Open Access

Challenges of Machine Learning for Covid-19 Diagnosis based on Blood Tests
Bayrammyrat Myradov
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (2022), pp. 721-727
Closed Access

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