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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.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 132

Showing 1-25 of 132 citing articles:

Latent Class Analysis Reveals COVID-19–related Acute Respiratory Distress Syndrome Subgroups with Differential Responses to Corticosteroids
Pratik Sinha, David Furfaro, Matthew J. Cummings, et al.
American Journal of Respiratory and Critical Care Medicine (2021) Vol. 204, Iss. 11, pp. 1274-1285
Open Access | Times Cited: 197
The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia
Tsegahun Manyazewal, Yimtubezinash Woldeamanuel, Henry M. Blumberg, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 107
Machine learning decision tree algorithm role for predicting mortality in critically ill adult COVID-19 patients admitted to the ICU
Alyaa Elhazmi, Awad Al‐Omari, Hend Sallam, et al.
Journal of Infection and Public Health (2022) Vol. 15, Iss. 7, pp. 826-834
Open Access | Times Cited: 60
Prognostic models in COVID-19 infection that predict severity: a systematic review
Chepkoech Buttia, Erand Llanaj, Hamidreza Raeisi‐Dehkordi, et al.
European Journal of Epidemiology (2023) Vol. 38, Iss. 4, pp. 355-372
Open Access | Times Cited: 35
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
George Lăzăroiu, Tom Gedeon, Elżbieta Rogalska, et al.
Oeconomia Copernicana (2024) Vol. 15, Iss. 1, pp. 27-58
Open Access | Times Cited: 13
Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine)
C. Liew, Song‐Quan Ong, David Ng
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
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
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
Intelligent Decision Support System for Predicting Student’s E-Learning Performance Using Ensemble Machine Learning
Farrukh Saleem, Zahid Ullah, Bahjat Fakieh, et al.
Mathematics (2021) Vol. 9, Iss. 17, pp. 2078-2078
Open Access | Times Cited: 47
Using machine learning in prediction of ICU admission, mortality, and length of stay in the early stage of admission of COVID-19 patients
Sara Saadatmand, Khodakaram Salimifard, Reza Mohammadi, et al.
Annals of Operations Research (2022) Vol. 328, Iss. 1, pp. 1043-1071
Open Access | Times Cited: 34
Mortality prediction of patients in intensive care units using machine learning algorithms based on electronic health records
Min Hyuk Choi, Dokyun Kim, Eui Jun Choi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 33
Machine learning model for predicting the length of stay in the intensive care unit for Covid-19 patients in the eastern province of Saudi Arabia
Dina A. Alabbad, Abdullah M. Almuhaideb, Shikah J. Alsunaidi, et al.
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100937-100937
Open Access | Times Cited: 30
COVID-19 Risk Stratification and Mortality Prediction in Hospitalized Indian Patients: Harnessing clinical data for public health benefits
Shanmukh Alle, Akshay Kanakan, Samreen Siddiqui, et al.
PLoS ONE (2022) Vol. 17, Iss. 3, pp. e0264785-e0264785
Open Access | Times Cited: 28
A Comprehensive Review of Machine Learning Used to Combat COVID-19
Rahul Gomes, Connor Kamrowski, Jordan Langlois, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1853-1853
Open Access | Times Cited: 27
Artificial Intelligence and Machine Learning Applications in Sudden Cardiac Arrest Prediction and Management: A Comprehensive Review
Sarah Aqel, Sebawe Syaj, Ayah N. Al-Bzour, et al.
Current Cardiology Reports (2023) Vol. 25, Iss. 11, pp. 1391-1396
Open Access | Times Cited: 16
Explainable Mortality Prediction Model for Congestive Heart Failure with Nature-Based Feature Selection Method
Nusrat Tasnim, Shamim Al Mamun, Mohammad Shahidul Islam, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6138-6138
Open Access | Times Cited: 15
Prediction models for COVID-19 disease outcomes
Cynthia Y. Tang, Cheng Gao, Kritika Prasai, et al.
Emerging Microbes & Infections (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Explainable artificial intelligence model for mortality risk prediction in the intensive care unit: a derivation and validation study
Chang Hu, Chao Gao, Tianlong Li, et al.
Postgraduate Medical Journal (2024) Vol. 100, Iss. 1182, pp. 219-227
Closed Access | Times Cited: 5
Uncovering Clinical Risk Factors and Predicting Severe COVID-19 Cases Using UK Biobank Data: Machine Learning Approach
Kenneth Chi-Yin Wong, Yong Xiang, Liangying Yin, et al.
JMIR Public Health and Surveillance (2021) Vol. 7, Iss. 9, pp. e29544-e29544
Open Access | Times Cited: 30
Selection of the Right Undergraduate Major by Students Using Supervised Learning Techniques
Alhuseen Omar Alsayed, Mohd Shafry Mohd Rahim, Ibrahim Albidewi, et al.
Applied Sciences (2021) Vol. 11, Iss. 22, pp. 10639-10639
Open Access | Times Cited: 28
Anti-COVID-19 Nanomaterials: Directions to Improve Prevention, Diagnosis, and Treatment
Mohammad Souri, Mohsen Chiani, Ali Akbar Farhangi, et al.
Nanomaterials (2022) Vol. 12, Iss. 5, pp. 783-783
Open Access | Times Cited: 22
Prediction of prognosis in COVID-19 patients using machine learning: A systematic review and meta-analysis
Ruiyao Chen, Jiayuan Chen, Sen Yang, et al.
International Journal of Medical Informatics (2023) Vol. 177, pp. 105151-105151
Closed Access | Times Cited: 12
Machine Learning-Based Integration of Metabolomics Characterisation Predicts Progression of Myopic Retinopathy in Children and Adolescents
Xiao-Wen Hou, Jinliuxing Yang, Dan‐Lin Li, et al.
Metabolites (2023) Vol. 13, Iss. 2, pp. 301-301
Open Access | Times Cited: 11
Deep forest model for diagnosing COVID-19 from routine blood tests
Maryam AlJame, Ayyub Imtiaz, Imtiaz Ahmad, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 25
Prevalence of NSAID use among people with COVID‐19 and the association with COVID‐19‐related outcomes: Systematic review and meta‐analysis
Huilei Zhao, Shanshan Huang, Shan Huang, et al.
British Journal of Clinical Pharmacology (2022) Vol. 88, Iss. 12, pp. 5113-5127
Open Access | Times Cited: 18
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