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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 features of COVID-19 mortality: development and validation of a clinical prediction model
Arjun Singh Yadaw, Yan Chak Li, Sonali Bose, et al.
The Lancet Digital Health (2020) Vol. 2, Iss. 10, pp. e516-e525
Open Access | Times Cited: 277

Showing 1-25 of 277 citing articles:

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Laure Wynants, Ben Van Calster, Gary S. Collins, et al.
BMJ (2020), pp. m1328-m1328
Open Access | Times Cited: 2843
Superspreading events in the transmission dynamics of SARS-CoV-2: Opportunities for interventions and control
Benjamin M. Althouse, Edward A. Wenger, Joel C. Miller, et al.
PLoS Biology (2020) Vol. 18, Iss. 11, pp. e3000897-e3000897
Open Access | Times Cited: 256
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
Akhil Vaid, Sulaiman Somani, Adam Russak, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 11, pp. e24018-e24018
Open Access | Times Cited: 209
Development of a prognostic model for mortality in COVID-19 infection using machine learning
Adam L. Booth, Elizabeth Abels, Peter McCaffrey
Modern Pathology (2020) Vol. 34, Iss. 3, pp. 522-531
Open Access | Times Cited: 162
Comparing machine learning algorithms for predicting COVID-19 mortality
Khadijeh Moulaei, Mostafa Shanbehzadeh, Zahra Mohammadi-Taghiabad, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 121
Sex-specific evaluation and redevelopment of the GRACE score in non-ST-segment elevation acute coronary syndromes in populations from the UK and Switzerland: a multinational analysis with external cohort validation
Florian A. Wenzl, Simon Kraler, Gareth Ambler, et al.
The Lancet (2022) Vol. 400, Iss. 10354, pp. 744-756
Open Access | Times Cited: 85
Development and Validation of a Machine Learning Model to Predict Weekly Risk of Hypoglycemia in Patients with Type 1 Diabetes Based on Continuous Glucose Monitoring
Simon Lebech Cichosz, Morten Hasselstrøm Jensen, Søren Schou Olesen
Diabetes Technology & Therapeutics (2024) Vol. 26, Iss. 7, pp. 457-466
Closed Access | Times Cited: 22
Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review
Hafsa Bareen Syeda, Mahanazuddin Syed, Kevin W. Sexton, et al.
JMIR Medical Informatics (2020) Vol. 9, Iss. 1, pp. e23811-e23811
Open Access | Times Cited: 139
Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases
Ania Syrowatka, Masha Kuznetsova, Ava Alsubai, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 91
Hypoxic and pharmacological activation of HIF inhibits SARS-CoV-2 infection of lung epithelial cells
Peter A. C. Wing, Thomas P. Keeley, Xiaodong Zhuang, et al.
Cell Reports (2021) Vol. 35, Iss. 3, pp. 109020-109020
Open Access | Times Cited: 90
Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review
Eleni S. Adamidi, Konstantinos Mitsis, Konstantina S. Nikita
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 2833-2850
Open Access | Times Cited: 82
Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying
Mohammad Mehdi Banoei, Roshan Dinparastisaleh, Ali Vaeli Zadeh, et al.
Critical Care (2021) Vol. 25, Iss. 1
Open Access | Times Cited: 78
Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19
Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal, et al.
Pathogens (2021) Vol. 10, Iss. 8, pp. 1048-1048
Open Access | Times Cited: 75
Phase 2 randomized study on chloroquine, hydroxychloroquine or ivermectin in hospitalized patients with severe manifestations of SARS-CoV-2 infection
Luis Enrique Bermejo Galan, Nayara Melo dos Santos, Mauro Shosuka Asato, et al.
Pathogens and Global Health (2021) Vol. 115, Iss. 4, pp. 235-242
Open Access | Times Cited: 70
Loss of Smell and Taste Can Accurately Predict COVID-19 Infection: A Machine-Learning Approach
M. Amparo Callejón, Ramón Moreno‐Luna, A del Cuvillo, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 4, pp. 570-570
Open Access | Times Cited: 64
Mortality and Readmission Rates Among Patients With COVID-19 After Discharge From Acute Care Setting With Supplemental Oxygen
Josh Banerjee, Catherine P. Canamar, Christian Voyageur, et al.
JAMA Network Open (2021) Vol. 4, Iss. 4, pp. e213990-e213990
Open Access | Times Cited: 64
Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data
Laila Rasmy, Masayuki Nigo, Bijun S. Kannadath, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 6, pp. e415-e425
Open Access | Times Cited: 58
Risk factors for severe COVID-19 differ by age for hospitalized adults
Sevda Molani, Patricia V. Hernandez, Ryan Roper, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 44
Active Smokers Are at Higher Risk of COVID-19 Death: A Systematic Review and Meta-analysis
Roengrudee Patanavanich, Tanatorn Siripoon, Salin Amponnavarat, et al.
Nicotine & Tobacco Research (2022) Vol. 25, Iss. 2, pp. 177-184
Open Access | Times Cited: 41
Challenges and prospects of visual contactless physiological monitoring in clinical study
Bin Huang, Shen Hu, Zimeng Liu, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 23
From Stability to Variability: Classification of Healthy Individuals, Prediabetes, and Type 2 Diabetes using Glycemic Variability Indices from Continuous Glucose Monitoring Data
Simon Lebech Cichosz, Thomas Kronborg, Esben Laugesen, et al.
Diabetes Technology & Therapeutics (2024)
Closed Access | Times Cited: 9
COVID Mortality Prediction with Machine Learning Methods: A Systematic Review and Critical Appraisal
Francesca Bottino, Emanuela Tagliente, Luca Pasquini, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 9, pp. 893-893
Open Access | Times Cited: 54
ABC2-SPH risk score for in-hospital mortality in COVID-19 patients: development, external validation and comparison with other available scores
Milena Soriano Marcolino, Magda Carvalho Pires, Lucas Emanuel Ferreira Ramos, et al.
International Journal of Infectious Diseases (2021) Vol. 110, pp. 281-308
Open Access | Times Cited: 47
A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score
Géza Halász, Michela Sperti, Matteo Villani, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 5, pp. e29058-e29058
Open Access | Times Cited: 44
Review of the COVID-19 Risk in Multiple Sclerosis
Farhan Chaudhry, Cristina Jageka, Phillip D. Levy, et al.
Journal of Cellular Immunology (2021) Vol. 3, Iss. 2
Open Access | Times Cited: 43
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