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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:

Development and validation of a prognostic COVID-19 severity assessment (COSA) score and machine learning models for patient triage at a tertiary hospital
Verena Schöning, Evangelia Liakoni, Christine Baumgartner, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 46

Showing 1-25 of 46 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
Machine Learning Based Clinical Decision Support System for Early COVID-19 Mortality Prediction
A. Karthikeyan, Akshit Garg, P. K. Vinod, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 96
Potential applications and performance of machine learning techniques and algorithms in clinical practice: A systematic review
Ezekwesiri Michael Nwanosike, Barbara R. Conway, Hamid A. Merchant, et al.
International Journal of Medical Informatics (2021) Vol. 159, pp. 104679-104679
Open Access | Times Cited: 83
Diagnosis and prediction of COVID-19 severity: can biochemical tests and machine learning be used as prognostic indicators?
Alexandre de Fátima Cobre, Dile Pontarolo Stremel, Guilhermina Rodrigues Noleto, et al.
Computers in Biology and Medicine (2021) Vol. 134, pp. 104531-104531
Open Access | Times Cited: 57
A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, et al.
Decision Analytics Journal (2023) Vol. 7, pp. 100246-100246
Open Access | Times Cited: 42
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
Digital Transformation in Personalized Medicine with Artificial Intelligence and the Internet of Medical Things
Biaoyang Lin, Shengjun Wu
OMICS A Journal of Integrative Biology (2021) Vol. 26, Iss. 2, pp. 77-81
Closed Access | Times Cited: 55
Hypotension Prediction Index with non-invasive continuous arterial pressure waveforms (ClearSight): clinical performance in Gynaecologic Oncologic Surgery
Luciano Frassanito, Pietro Paolo Giuri, Francesco Vassalli, et al.
Journal of Clinical Monitoring and Computing (2021) Vol. 36, Iss. 5, pp. 1325-1332
Open Access | Times Cited: 35
Prediction models for severe manifestations and mortality due to COVID‐19: A systematic review
Jamie Miller, Masafumi Tada, Michihiko Goto, et al.
Academic Emergency Medicine (2022) Vol. 29, Iss. 2, pp. 206-216
Open Access | Times Cited: 27
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
The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis
Kuang-Ming Kuo, Paul C. Talley, Chao-Sheng Chang
International Journal of Medical Informatics (2022) Vol. 164, pp. 104791-104791
Open Access | Times Cited: 23
Gray level co-occurrence matrix and extreme learning machine for Covid-19 diagnosis
Pengpeng Pi, Dimas Lima
International Journal of Cognitive Computing in Engineering (2021) Vol. 2, pp. 93-103
Open Access | Times Cited: 29
Artificial Intelligence in COVID-19 Management: A Systematic Review
Samaneh Mohammadi, Samaneh Mohammadi, SeyedAhmad SeyedAlinaghi, et al.
Journal of Computer Science (2023) Vol. 19, Iss. 5, pp. 554-568
Open Access | Times Cited: 13
Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study
Dylan Young, Bita Houshmand, Chunyi Tan, et al.
BMC Pregnancy and Childbirth (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 11
Machine learning application for the prediction of SARS-CoV-2 infection using blood tests and chest radiograph
Richard Du, Efstratios Tsougenis, Joshua W. K. Ho, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 26
Development and Implementation of Automated Referral Triaging System for Spinal Cord Stimulation Procedure in Pain Medicine
Lan Jiang, Yuli Huang, Jungwei Fan, et al.
Journal of Medical Systems (2025) Vol. 49, Iss. 1
Closed Access
Identification of Variable Importance for Predictions of Mortality From COVID-19 Using AI Models for Ontario, Canada
Brett Snider, Edward A. McBean, John Yawney, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 21
CT-based severity assessment for COVID-19 using weakly supervised non-local CNN
R. Karthik, R. Menaka, M. Hariharan, et al.
Applied Soft Computing (2022) Vol. 121, pp. 108765-108765
Open Access | Times Cited: 16
Identification of COVID-19 patients at risk of hospital admission and mortality: a European multicentre retrospective analysis of mid-regional pro-adrenomedullin
Emanuela Sozio, Nathan Moore, Martina Fabris, et al.
Respiratory Research (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 15
Machine Learning First Response to COVID-19: A Systematic Literature Review of Clinical Decision Assistance Approaches during Pandemic Years from 2020 to 2022
Goizalde Badiola-Zabala, José Manuel López-Guede, Julián Estévez, et al.
Electronics (2024) Vol. 13, Iss. 6, pp. 1005-1005
Open Access | Times Cited: 3
A machine-learning parsimonious multivariable predictive model of mortality risk in patients with Covid-19
Rita Murri, Jacopo Lenkowicz, C. Masciocchi, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 18
SARS-CoV-2, hemoglobin and protoporphyrin IX: Interactions and perspectives
Lilia Coronato Courrol, Flávia Rodrigues de Oliveira Silva, Valdivel Masilamani
Photodiagnosis and Photodynamic Therapy (2021) Vol. 34, pp. 102324-102324
Open Access | Times Cited: 17
Augmentation strategies for an imbalanced learning problem on a novel COVID-19 severity dataset
Daniel Schaudt, Reinhold von Schwerin, Alexander Hafner, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
A catalogue of tools and variables from crisis and routine care to support decision-making about allocation of intensive care beds and ventilator treatment during pandemics: Scoping review
Magnolia Cardona, Claudia C. Dobler, Eyza Koreshe, et al.
Journal of Critical Care (2021) Vol. 66, pp. 33-43
Open Access | Times Cited: 14
Accuracy of the Veterans Health Administration COVID-19 (VACO) Index for predicting short-term mortality among 1307 US academic medical centre inpatients and 427 224 US Medicare patients
Joseph T. King, James S. Yoon, Zachary M. Bredl, et al.
Journal of Epidemiology & Community Health (2021) Vol. 76, Iss. 3, pp. 254-260
Open Access | Times Cited: 14
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