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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:

Prediction of COVID-19 From Hemogram Results and Age Using Machine Learning
Elena Caires Silveira
Frontiers in Health Informatics (2020) Vol. 9, Iss. 1, pp. 39-39
Open Access | Times Cited: 20

Showing 20 citing articles:

Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs
Marcos Antônio Alves, Giulia Zanon de Castro, Bruno Alberto Soares Oliveira, et al.
Computers in Biology and Medicine (2021) Vol. 132, pp. 104335-104335
Open Access | Times Cited: 98
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning
Krishnaraj Chadaga, Chinmay Chakraborty, Srikanth Prabhu, et al.
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 14, Iss. 2, pp. 452-470
Open Access | Times Cited: 49
Machine learning algorithms applied to the diagnosis of COVID-19 based on epidemiological, clinical, and laboratory data
Silvia Macedo, Marina de Borba Oliveira Freire, Oscar Schmitt Kremer, et al.
Jornal Brasileiro de Pneumologia (2025), pp. e20240385-e20240385
Open Access
Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests
Theresa Roland, Carl Böck, Thomas Tschoellitsch, et al.
Journal of Medical Systems (2022) Vol. 46, Iss. 5
Open Access | Times Cited: 24
Stacked deep learning approach for efficient SARS-CoV-2 detection in blood samples
Wu Wang, Fouzi Harrou, Abdelkader Dairi, et al.
Artificial Intelligence in Medicine (2024) Vol. 148, pp. 102767-102767
Closed Access | Times Cited: 3
Clinical Hematochemical Parameters in Differential Diagnosis between Pediatric SARS-CoV-2 and Influenza Virus Infection: An Automated Machine Learning Approach
Dejan Dobrijević, Jelena Antić, Goran Rakić, et al.
Children (2023) Vol. 10, Iss. 5, pp. 761-761
Open Access | Times Cited: 9
Prediction of SARS-CoV-2-positivity from million-scale complete blood counts using machine learning
Gianlucca Zuin, Daniella Castro Araújo, Vinícius Gadis Ribeiro, et al.
Communications Medicine (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 14
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets
Márcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e670-e670
Open Access | Times Cited: 17
A Survey of COVID-19 Diagnosis Using Routine Blood Tests with the Aid of Artificial Intelligence Techniques
S. Habashi, Murat Koyuncu, Roohallah Alizadehsani
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1749-1749
Open Access | Times Cited: 4
A Statistical Synopsis of COVID-19 Components and Descriptive Analysis of Their Socio-Economic and Healthcare Aspects in Bangladesh Perspective
Mahtab Uddin, Kazi Shawpnil, Shafayat Bin Shabbir Mugdha, et al.
Journal of Environmental and Public Health (2023) Vol. 2023, pp. 1-20
Open Access | Times Cited: 3
Machine Learning based COVID-19 Diagnosis from Blood Tests with Robustness to Domain Shifts
Theresa Roland, Carl Böck, Thomas Tschoellitsch, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 5
Neural Networks for the Diagnosis of Covid-19 in Chest X-ray Images: A Systematic Review and Meta-Analysis
Daniel Andrade-Girón, William Joel Marín Rodriguez, Flor de María Lioo-Jordán, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2023) Vol. 9
Open Access | Times Cited: 1
Analitik Hiyerarşi Süreci ve Veri Madenciliği Teknikleriyle Hibrit bir Karar Destek Sistemi Uygulaması: Tam Kan Sayımı Değerleri ile Kovid19 Tanısı
Ahmet Bursali, Aslı Süner
Karya Journal of Health Science (2023) Vol. 4, Iss. 3, pp. 213-219
Open Access | Times Cited: 1
Applying machine learning to assist the diagnosis of COVID-19 from blood and urine exams
Jessica Almeida dos Santos, Lilian Berton
(2021), pp. 256-267
Open Access | Times Cited: 1
An XGBoost Model for Age Prediction from COVID-19 Blood Test
Nunung Nurul Qomariyah, Ardimas Andi Purwita, Maria Seraphina Astriani, et al.
2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) (2021), pp. 446-452
Open Access | Times Cited: 1
Peer Review #2 of "Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets (v0.2)"
P Gonzalez-Dias
(2021)
Open Access
Peer Review #1 of "Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets (v0.1)"
Márcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, et al.
(2021)
Open Access
Peer Review #3 of "Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets (v0.1)"

(2021)
Open Access
Peer Review #1 of "Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets (v0.2)"
Márcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, et al.
(2021)
Open Access
Peer Review #3 of "Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets (v0.2)"
Márcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, et al.
(2021)
Closed Access
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