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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:

Clinical Utility and Functionality of an Artificial Intelligence–Based App to Predict Mortality in COVID-19: Mixed Methods Analysis
Ahmed Abdulaal, Aatish Patel, Ahmed Al‐Hindawi, et al.
JMIR Formative Research (2021) Vol. 5, Iss. 7, pp. e27992-e27992
Open Access | Times Cited: 10

Showing 10 citing articles:

Human-centered design and evaluation of AI-empowered clinical decision support systems: a systematic review
Liuping Wang, Zhan Zhang, Dakuo Wang, et al.
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 23
Quality of Interaction Between Clinicians and Artificial Intelligence Systems. A Systematic Review
Argyrios Perivolaris, Chris Adams-McGavin, Yasmine Madan, et al.
Future Healthcare Journal (2024) Vol. 11, Iss. 3, pp. 100172-100172
Open Access | Times Cited: 12
Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review
Ruth Evans, Louise Bryant, Gregor Russell, et al.
International Journal of Medical Informatics (2024) Vol. 183, pp. 105342-105342
Open Access | Times Cited: 10
The use of artificial intelligence for delivery of essential health services across WHO regions: a scoping review
Joseph Okeibunor, Anelisa Jaca, Chinwe Juliana Iwu, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 16
Application of machine learning approach in emergency department to support clinical decision making for SARS-CoV-2 infected patients
Nicolò Casano, Silvano Junior Santini, Pierpaolo Vittorini, et al.
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (2023) Vol. 20, Iss. 2
Open Access | Times Cited: 8
An Assessment of How Clinicians and Staff Members Use a Diabetes Artificial Intelligence Prediction Tool: Mixed Methods Study
Winston Liaw, Yessenia Ramos Silva, Erica G. Soltero, et al.
JMIR AI (2023) Vol. 2, pp. e45032-e45032
Open Access | Times Cited: 7
Incubation period, clinical and lung CT features for early prediction of COVID-19 deterioration: development and internal verification of a risk model
Hongbing Peng, Chao Hu, Wusheng Deng, et al.
BMC Pulmonary Medicine (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 3
Scoping Review on Lead User Engagement Methods in the Development of Telemedicine Products
Meluleki Bhebhe, Sara Grobbelaar, Marlien Herselman
(2023), pp. 273-280
Closed Access
An Assessment of How Clinicians and Staff Members Use a Diabetes Artificial Intelligence Prediction Tool: Mixed Methods Study (Preprint)
Winston Liaw, Yessenia Ramos Silva, Erica G. Soltero, et al.
(2022)
Open Access
What Is the Value of Artificial Intelligence in Radiology?
Mashael Alrujaib, Dana Bakheet
Innovations in Surgery and Interventional Medicine (2021) Vol. 1, Iss. 2, pp. 23-24
Open Access
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