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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:

Comparing Machine Learning Algorithms for Predicting ICU Admission and Mortality in COVID-19
Sonu Subudhi, Ashish Verma, Ankit Patel, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 12

Showing 12 citing articles:

Identification of high-risk COVID-19 patients using machine learning
Mario A. Quiroz‐Juárez, Armando Torres Gómez, Irma Hoyo-Ulloa, et al.
PLoS ONE (2021) Vol. 16, Iss. 9, pp. e0257234-e0257234
Open Access | Times Cited: 51
Machine Learning-Based COVID-19 Patients Triage Algorithm Using Patient-Generated Health Data from Nationwide Multicenter Database
Min Sue Park, Hyeontae Jo, Haeun Lee, et al.
Infectious Diseases and Therapy (2022) Vol. 11, Iss. 2, pp. 787-805
Open Access | Times Cited: 15
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes
Aron Henriksson, Yash Pawar, Pontus Hedberg, et al.
Artificial Intelligence in Medicine (2023) Vol. 146, pp. 102695-102695
Open Access | Times Cited: 7
Deep Forest Model for Diagnosing COVID-19 From Routine Blood Tests
Maryam AlJame, Ayyub Imtiaz, Imtiaz Ahmad, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 6
COVID and nutrition: A machine learning perspective
Nafiseh Jafari, Mohammad Reza Besharati, Mohammad Izadi, et al.
Informatics in Medicine Unlocked (2022) Vol. 28, pp. 100857-100857
Open Access | Times Cited: 4
Determining latent features and forecasting of COVID-19 hospitalisations in Malaysia using a national patient assessment data platform: a study of machine learning modelling against expert system
Hui-Jia Yee, Ivan Boo, Ian K. T. Tan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Application of Artificial Intelligence Methods Depending on the Tasks Solved during COVID-19 Pandemic
И. В. Толмачев, Irina Kaverina, Denis A. Vrazhnov, et al.
COVID (2022) Vol. 2, Iss. 10, pp. 1341-1378
Open Access | Times Cited: 2
Machine Learning-based Prediction of Treatment Outcome of Patients with COVID-19 and Comorbidities: A South African Cohort Study
Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, et al.
Research Square (Research Square) (2023)
Open Access
Transfer Learning Across Diseases Opens a Novel Route Towards Pandemic Preparedness
Joana Meyer, Sebastian Fritsch, Konstantin Sharafutdinov, et al.
Research Square (Research Square) (2023)
Open Access
Predicting Intensive Care Unit Admission of COVID-19 Patients with Open Data: Analysis of the First Wave in Colombia
Ruben Acosta-Velasquez, William Fajardo-Moreno, Leonardo Espinosa-Leal
(2022)
Open Access
Explainable Machine Learning Prediction for COVID-19 Mortality in the Colombian Population
Gabriel Ricardo Vásquez Morales, Sergio Mauricio Martínez Monterrubio, Juan Antonio Recio García, et al.
Research Square (Research Square) (2021)
Closed Access
Proactive planning for slow onset weather events to adjust hospital operations
Mahsa Ghanbarpourmamaghani
(2021)
Open Access
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