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.

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Showing 1-25 of 33 citing articles:

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: 34

Early Routine Biomarkers of SARS-CoV-2 Morbidity and Mortality: Outcomes from an Emergency Section
Flavio Maria Ceci, Marco Fiore, Francesca Gavaruzzi, et al.
Diagnostics (2022) Vol. 12, Iss. 1, pp. 176-176
Open Access | Times Cited: 24

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

Predicting models of inpatient death risk accompanied by coronavirus disease in healthcare establishments as an additional tool for decision-making
Olena Ya. Antonyuk, Oleksii Stavyskyi
Ukrainian Scientific Medical Youth Journal (2025) Vol. 152, Iss. 1, pp. 97-113
Open Access

Use of machine learning to assess the prognostic utility of radiomic features for in-hospital COVID-19 mortality
Yuming Sun, Stephen Salerno, Xinwei He, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9

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

The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis
Yu Xin, Hongxu Li, Yuxin Zhou, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7

Mature neutrophils and a NF-κB-to-IFN transition determine the unifying disease recovery dynamics in COVID-19
Amit Frishberg, Emma J. Kooistra, Melanie Nuesch-Germano, et al.
Cell Reports Medicine (2022) Vol. 3, Iss. 6, pp. 100652-100652
Open Access | Times Cited: 11

Looking back and beyond the 2017 diagnostic criteria for hypermobile Ehlers‐Danlos syndrome: A retrospective cross‐sectional study from an Italian reference center
Marco Ritelli, Nicola Chiarelli, Valeria Cinquina, et al.
American Journal of Medical Genetics Part A (2023) Vol. 194, Iss. 2, pp. 174-194
Open Access | Times Cited: 6

Deep Survival Analysis With Clinical Variables for COVID-19
Ahmad Chaddad, Lama Hassan, Yousef Katib, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2023) Vol. 11, pp. 223-231
Open Access | Times Cited: 4

Blood Biomarkers from the Emergency Department Disclose Severe Omicron COVID-19-Associated Outcomes
Fiorenza Pennacchia, Eqrem Rusi, Wael Abu Ruqa, et al.
Microorganisms (2023) Vol. 11, Iss. 4, pp. 925-925
Open Access | Times Cited: 4

Temporal evolution of laboratory characteristics in patients critically ill with COVID‑19 admitted to the intensive care unit (Review)
Stelios Kokkoris, Angeliki Kanavou, Panagiotis Kremmydas, et al.
Medicine International (2023) Vol. 3, Iss. 5
Open Access | Times Cited: 4

Predictive markers for clinical outcomes in a cohort of diabetic patients hospitalized for COVID-19
Sara Madaschi, Eugenia Resmini, S. Bonfadini, et al.
Diabetology & Metabolic Syndrome (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 7

Less is more: an ecological and economic point of view on appropriate use of lab testing for COVID-19 patients
Simona Signorini, Duilio Brugnoni, Rosella Levaggi, et al.
Bioanalysis (2021) Vol. 13, Iss. 24, pp. 1781-1783
Open Access | Times Cited: 9

Machine learning for prediction of in-hospital mortality in coronavirus disease 2019 patients: results from an Italian multicenter study
Marika Vezzoli, Riccardo M. Inciardi, Chiara Oriecuia, et al.
Journal of Cardiovascular Medicine (2022) Vol. 23, Iss. 7, pp. 439-446
Open Access | Times Cited: 6

CNN Approach for Predicting Survival Outcome of Patients With COVID-19
Ahmad Chaddad, Camel Tanougast
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 15, pp. 13742-13753
Closed Access | Times Cited: 3

MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis
Max Hardy-Werbin, José María Maiques, Marcos Busto, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3

Academic skills in children with cerebral palsy and specific learning disorders
Serena Micheletti, Jessica Galli, Marika Vezzoli, et al.
Developmental Medicine & Child Neurology (2023) Vol. 66, Iss. 6, pp. 778-792
Open Access | Times Cited: 3

Clinical characteristics and severity prediction score of Adenovirus pneumonia in immunocompetent adult
Chao Hu, Ying Zeng, Zhi Zhong, et al.
PLoS ONE (2023) Vol. 18, Iss. 2, pp. e0281590-e0281590
Open Access | Times Cited: 2

Role of a Chest X-ray Severity Score in a Multivariable Predictive Model for Mortality in Patients with COVID-19: A Single-Center, Retrospective Study
Masoud Baikpour, Alex Carlos, Ryan Morasse, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 8, pp. 2157-2157
Open Access | Times Cited: 4

The Role of Simple Blood Tests and a Modified Chest X-Ray Scoring System in Assessing the Severity Disease and Mortality Risk in COVID-19 Patients in a Secondary Hospital, Indonesia
Soedarsono Soedarsono, Deri Yunita, Emma Ayu Lirani, et al.
International Journal of General Medicine (2022) Vol. Volume 15, pp. 5891-5900
Open Access | Times Cited: 3

Machine learning approach to identify malaria risk in travelers using real-world evidence
Pedro Emanuel Fleitas, Leire Balerdi-Sarasola, Daniel Camprubi Ferrer, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28534-e28534
Open Access

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