OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Identifying Predictors of COVID-19 Mortality Using Machine Learning
Tsz-Kin Wan, Ruixuan Huang, Thomas Wetere Tulu, et al.
Life (2022) Vol. 12, Iss. 4, pp. 547-547
Open Access | Times Cited: 14

Showing 14 citing articles:

Changes in COVID-19-related mortality across key demographic and clinical subgroups in England from 2020 to 2022: a retrospective cohort study using the OpenSAFELY platform
Linda Nab, Edward P K Parker, Colm Andrews, et al.
The Lancet Public Health (2023) Vol. 8, Iss. 5, pp. e364-e377
Open Access | Times Cited: 63

Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review
Saeed Shakibfar, Fredrik Nyberg, Huiqi Li, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 16

eXtreme Gradient Boosting-based method to classify patients with COVID-19
Antonio Ramón, Ana María Torres, Javier Milara, et al.
Journal of Investigative Medicine (2022) Vol. 70, Iss. 7, pp. 1472-1480
Closed Access | Times Cited: 22

Rapid Triage of Children with Suspected COVID-19 Using Laboratory-Based Machine-Learning Algorithms
Dejan Dobrijević, Gordana Vilotijević-Dautović, Jasmina Katanić, et al.
Viruses (2023) Vol. 15, Iss. 7, pp. 1522-1522
Open Access | Times Cited: 10

Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers
Thomas Wetere Tulu, Tsz Kin Wan, Ching Long Chan, et al.
BMC Digital Health (2023) Vol. 1, 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

A machine learning-based model for predicting distant metastasis in patients with rectal cancer
Binxu Qiu, Zixiong Shen, Song Wu, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 5

Improving prediction of COVID-19 mortality using machine learning in the Spanish SEMI-COVID-19 registry
José Manuel Casas Rojo, Paula Sol Ventura, Juan Miguel Antón Santos, et al.
Internal and Emergency Medicine (2023) Vol. 18, Iss. 6, pp. 1711-1722
Closed Access | Times Cited: 4

Modeling for Prediction of Mortality Based on past Medical History in Hospitalized COVID‐19 Patients: A Secondary Analysis
Seyyed Amir Yasin Ahmadi, Yeganeh Karimi, Arash Abdollahi, et al.
Canadian Journal of Infectious Diseases and Medical Microbiology (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1

Predicting Risk of Mortality in COVID-19 Hospitalized Patients using Hybrid Machine Learning Algorithms
Mohammad Reza Afrash, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Journal of Biomedical Physics and Engineering (2022) Vol. 12, Iss. 6
Open Access | Times Cited: 3

Respiratory Tract Pathogen Profiles of COVID-19 Pneumonia Patients and the Mortality Prediction
Jiaxin Liu, Wenzhi Liu, Pengchao Fan, et al.
Research Square (Research Square) (2024)
Closed Access

PREDICTORS OF MORTALITY IN HOSPITALIZED COVID-19 PATIENTS
Maryam B. Khadzhieva, А. С. Грачева, M. Yа. Yadgarov, et al.
Archiv Euromedica (2022) Vol. 12, Iss. 4
Open Access

Page 1

Scroll to top