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 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

Showing 14 citing articles:

One-stage and lightweight CNN detection approach with attention: Application to WBC detection of microscopic images
Zhenggong Han, Haisong Huang, Dan Lu, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106606-106606
Closed Access | Times Cited: 20

Predicting doxorubicin-induced cardiotoxicity in breast cancer: leveraging machine learning with synthetic data
Daniella Castro Araújo, Ricardo Santos Simões, Adriano de Paula Sabino, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access

Explaining Biomarker Response to Anticoagulant Therapy in Atrial Fibrillation: A Study of Warfarin and Rivaroxaban with Machine Learning Models
Adriano Veloso, Gianlucca Zuin, Laureen Sena
Lecture notes in computer science (2025), pp. 475-487
Closed Access

Unlocking the complete blood count as a risk stratification tool for breast cancer using machine learning: a large scale retrospective study
Daniella Castro Araújo, Bruno Aragão Rocha, Karina Braga Gomes, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

Extreme event counterfactual analysis of electricity consumption in Brazil: Historical impacts and future outlook under climate change
Gianlucca Zuin, Rob Buechler, Tao Sun, et al.
Energy (2023) Vol. 281, pp. 128101-128101
Closed Access | Times Cited: 9

Complete blood count as a biomarker for preeclampsia with severe features diagnosis: a machine learning approach
Daniella Castro Araújo, Alexandre Afonso de Macedo, Adriano Veloso, et al.
BMC Pregnancy and Childbirth (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2

Serum Thyrotropin and Triiodothyronine Levels in Levothyroxine-treated Patients
Matthew D Ettleson, Wesley Heleno Prieto, Pedro Russo, et al.
The Journal of Clinical Endocrinology & Metabolism (2022) Vol. 108, Iss. 6, pp. e258-e266
Open Access | Times Cited: 12

Prognosing the risk of COVID-19 death through a machine learning-based routine blood panel: A retrospective study in Brazil
Daniella Castro Araújo, Adriano Veloso, Karina Braga Gomes Borges, et al.
International Journal of Medical Informatics (2022) Vol. 165, pp. 104835-104835
Open Access | Times Cited: 10

Cardiovascular and Renal Comorbidities Included into Neural Networks Predict the Outcome in COVID-19 Patients Admitted to an Intensive Care Unit: Three-Center, Cross-Validation, Age- and Sex-Matched Study
Е. А. Овчаренко, Anton G. Kutikhin, О. В. Груздева, et al.
Journal of Cardiovascular Development and Disease (2023) Vol. 10, Iss. 2, pp. 39-39
Open Access | Times Cited: 2

Ensemble Learning through Rashomon Sets
Gianlucca Zuin, Adriano Veloso
(2024), pp. 1-10
Open Access

Desbloqueando o hemograma completo como uma ferramenta de estratificação de risco para câncer de mama usando aprendizado de máquina
Daniella Castro Araújo, Bruno Aragão Rocha, Karina Braga Gomes, et al.
Journal of Health Informatics (2024) Vol. 16, Iss. Especial
Open Access

An Ensemble Approach for Inconsistency Detection in Medical Bills: A Case Study
Gianlucca Zuin, Lucas S. Parreiras, Luiz Ledo Mota Melo, et al.
(2023), pp. 573-578
Closed Access | Times Cited: 1

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