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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:

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

Showing 1-25 of 26 citing articles:

Recent developments in the immunopathology of COVID‐19
Huanping Zhang, Yuanli Sun, Yanfen Wang, et al.
Allergy (2022) Vol. 78, Iss. 2, pp. 369-388
Open Access | Times Cited: 76
Artificial Intelligence and COVID-19 Using Chest CT Scan and Chest X-ray Images: Machine Learning and Deep Learning Approaches for Diagnosis and Treatment
Roberta Fusco, Roberta Grassi, Vincenza Granata, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 10, pp. 993-993
Open Access | Times Cited: 78
An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples
Olusola Abayomi‐Alli, Robertas Damaševičius, Rytis Maskeliūnas, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2224-2224
Open Access | Times Cited: 33
Predictive models for COVID-19 detection using routine blood tests and machine learning
Yury V. Kistenev, Denis A. Vrazhnov, Ekaterina E. Shnaider, et al.
Heliyon (2022) Vol. 8, Iss. 10, pp. e11185-e11185
Open Access | Times Cited: 26
Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning
Jordan Chamberlin, Gilberto J. Aquino, Sophia Nance, et al.
BMC Infectious Diseases (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 16
An Unsupervised Machine Learning Clustering and Prediction of Differential Clinical Phenotypes of COVID-19 Patients Based on Blood Tests—A Hong Kong Population Study
Kitty Yu-Yeung Lau, Douglas K. S. Ng, Ka‐Wai Kwok, et al.
Frontiers in Medicine (2022) Vol. 8
Open Access | Times Cited: 15
Comprehensive Survey of Machine Learning Systems for COVID-19 Detection
Bayan Al-Saaidah, Moh’d Rasoul Al-Hadidi, Heba Al-Nsour, et al.
Journal of Imaging (2022) Vol. 8, Iss. 10, pp. 267-267
Open Access | Times Cited: 14
Supervised Machine Learning Models to Identify Early-Stage Symptoms of SARS-CoV-2
Ηλίας Δρίτσας, Μαρία Τρίγκα
Sensors (2022) Vol. 23, Iss. 1, pp. 40-40
Open Access | Times Cited: 11
Proof of concept of the potential of a machine learning algorithm to extract new information from conventional SARS-CoV-2 rRT-PCR results
Jorge Julio Cabrera, Ana Larrañaga, Sonia Pérez‐Castro, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
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
COVID-19 IgG antibodies detection based on CNN-BiLSTM algorithm combined with fiber-optic dataset
Mohammed Jawad Ahmed Alathari, Yousif Al Mashhadany, Ahmad Ashrif A. Bakar, et al.
Journal of Virological Methods (2024) Vol. 330, pp. 115011-115011
Closed Access | Times Cited: 1
COVID-19 Prognosis and Mortality Risk Predictions from Symptoms: A Cloud-Based Smartphone Application
Ocean Monjur, Rahat Bin Preo, Abdullah Bin Shams, et al.
BioMed (2021) Vol. 1, Iss. 2, pp. 114-125
Open Access | Times Cited: 9
Machine Learning to Calculate Heparin Dose in COVID-19 Patients with Active Cancer
Egidio Imbalzano, Luana Orlando, Angela Sciacqua, et al.
Journal of Clinical Medicine (2021) Vol. 11, Iss. 1, pp. 219-219
Open Access | Times Cited: 8
Machine Learning Successfully Detects Patients with COVID-19 Prior to PCR Results and Predicts Their Survival Based on Standard Laboratory Parameters in an Observational Study
Filip Styrzyński, Damir Zhakparov, Marco Schmid, et al.
Infectious Diseases and Therapy (2022) Vol. 12, Iss. 1, pp. 111-129
Open Access | Times Cited: 6
Metabolic-associated fatty liver disease and liver fibrosis scores as COVID-19 outcome predictors: a machine-learning application
Mirko Zoncapè, Michele M. Carlin, Manuele Bicego, et al.
Internal and Emergency Medicine (2023) Vol. 18, Iss. 7, pp. 2063-2073
Open Access | Times Cited: 3
Evaluation of Mutual Information and Feature Selection for SARS-CoV-2 Respiratory Infection
Sekar Kidambi Raju, Seethalakshmi Ramaswamy, Marwa M. Eid, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 880-880
Open Access | Times Cited: 2
A lab-on-chip solution for the detection and suppression of COVID-19 severity
Vijai Laxmi, Suhas S. Joshi, Amit Agrawal
Biomedical Physics & Engineering Express (2023) Vol. 9, Iss. 3, pp. 035029-035029
Closed Access | Times Cited: 1
Discriminating insulin resistance in middle-aged nondiabetic women using machine learning approaches
Zailing Xing, Henian Chen, Amy C. Alman
AIMS Public Health (2024) Vol. 11, Iss. 2, pp. 667-687
Open Access
Admission blood tests predicting survival of SARS-CoV-2 infected patients: a practical implementation of graph convolution network in imbalance dataset
Jie Lian, Fan Huang, Xinhai Huang, et al.
BMC Infectious Diseases (2024) Vol. 24, Iss. 1
Open Access
Anais do Simpósio Brasileiro de Inteligência Artificial
Milena Rodrigues Pontes, M Damasceno, Gabriela Lais da Silva, et al.
Editora Pascal LTDA eBooks (2024)
Open Access
Makine Öğrenmesi Yöntemleri ile Kan Tahlilinden Covid-19 Teşhisi
Büşra Çakı, Ahmet Egesoy, N. Yasemin Topaloğlu
Bilgisayar bilimleri ve mühendisliği dergisi. (2024) Vol. 17, Iss. 2, pp. 120-131
Closed Access
Evaluation of Diagnostic Strategies for Identifying SARS-CoV-2 Infection in Clinical Practice: a Systematic Review and Compliance with the Standards for Reporting Diagnostic Accuracy Studies Guideline (STARD)
Paula Cremades-Martínez, Lucy Anne Parker, Elisa Chilet‐Rosell, et al.
Microbiology Spectrum (2022) Vol. 10, Iss. 4
Open Access | Times Cited: 2
A Deep Learning Approach to Identify Chest Computed Tomography Features for Prediction of SARS-CoV-2 Infection Outcomes
Amirhossein Sahebkar, Mitra Abbasifard, Samira Chaibakhsh, et al.
Methods in molecular biology (2022), pp. 395-404
Closed Access | Times Cited: 2
Challenges of Multiplex Assays for COVID-19 Research: A Machine Learning Perspective
Paul C. Guest, David Popovic, Johann Steiner
Methods in molecular biology (2022), pp. 37-50
Closed Access | Times Cited: 1
Review of Machine Learning-Based Disease Diagnosis and Severity Estimation of COVID-19
Monelli Ayyavaraiah, Bondu Venkateswarlu
Advances in intelligent systems and computing (2023), pp. 1-18
Closed Access
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