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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:

Severity Detection for the Coronavirus Disease 2019 (COVID-19) Patients Using a Machine Learning Model Based on the Blood and Urine Tests
Haochen Yao, Nan Zhang, Ruochi Zhang, et al.
Frontiers in Cell and Developmental Biology (2020) Vol. 8
Open Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

Applications of artificial intelligence in battling against covid-19: A literature review
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 196
Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review
Norah Alballa, Isra Al-Turaiki
Informatics in Medicine Unlocked (2021) Vol. 24, pp. 100564-100564
Open Access | Times Cited: 195
Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review
H. Swapnarekha, H. S. Behera, Janmenjoy Nayak, et al.
Chaos Solitons & Fractals (2020) Vol. 138, pp. 109947-109947
Open Access | Times Cited: 190
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
Muzammil Khan, Muhammad Taqi Mehran, Zeeshan Haq, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115695-115695
Open Access | Times Cited: 164
Artificial Intelligence for COVID-19: A Systematic Review
Lian Wang, Yonggang Zhang, Dongguang Wang, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 132
Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19
Sonu Subudhi, Ashish Verma, Ankit Patel, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 131
A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
Chaos Solitons & Fractals (2020) Vol. 141, pp. 110337-110337
Open Access | Times Cited: 108
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
Machine Learning-Based Model to Predict the Disease Severity and Outcome in COVID-19 Patients
Sumayh S. Aljameel, Irfan Ullah Khan, Nida Aslam, et al.
Scientific Programming (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 84
A systematic review on AI/ML approaches against COVID-19 outbreak
Onur Doğan, Sanju Tiwari, M. A. Jabbar, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 5, pp. 2655-2678
Open Access | Times Cited: 74
Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey
Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili, et al.
SN Computer Science (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 51
Machine learning approaches in Covid-19 severity risk prediction in Morocco
Mariam Laatifi, Samira Douzi, Abdelaziz Bouklouz, et al.
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 48
Diagnosing COVID-19 using artificial intelligence: a comprehensive review
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 39
COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 2, pp. 153-175
Open Access | Times Cited: 55
Overtraining Syndrome as a Complex Systems Phenomenon
Lawrence E. Armstrong, Michael F. Bergeron, Elaine C. Lee, et al.
Frontiers in Network Physiology (2022) Vol. 1
Open Access | Times Cited: 36
Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review
Farrukh Saleem, Abdullah Alghamdi, Madini O. Alassafi, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 9, pp. 5099-5099
Open Access | Times Cited: 34
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
Early health prediction framework using XGBoost ensemble algorithm in intelligent environment
Dheeraj Kumar, Sandeep K. Sood, Keshav Singh Rawat
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1591-1615
Closed Access | Times Cited: 20
Urinary viral shedding of COVID-19 and its clinical associations: A Systematic Review and Meta-analysis of Observational Studies
Amir Hossein Kashi, Jean de la Rosette, Erfan Amini, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Closed Access | Times Cited: 44
Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation
Heewon Chung, Hoon Ko, Wu Seong Kang, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 4, pp. e27060-e27060
Open Access | Times Cited: 38
Machine Learning Assisted Prediction of Prognostic Biomarkers Associated With COVID-19, Using Clinical and Proteomics Data
Rahila Sardar, Arun Sharma, Dinesh Gupta
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 37
SMOTE-NC and gradient boosting imputation based random forest classifier for predicting severity level of covid-19 patients with blood samples
Elif Ceren Gök, Mehmet Onur Olgun
Neural Computing and Applications (2021) Vol. 33, Iss. 22, pp. 15693-15707
Open Access | Times Cited: 36
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
Nanostructures for prevention, diagnosis, and treatment of viral respiratory infections: from influenza virus to SARS-CoV-2 variants
Esmaeel Sharifi, Satar Yousefiasl, Maria Trovato, et al.
Journal of Nanobiotechnology (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 13
Diagnosis and prognosis of COVID-19 employing analysis of patients' plasma and serum via LC-MS and machine learning
Alexandre de Fátima Cobre, Mônica Surek, Dile Pontarolo Stremel, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105659-105659
Open Access | Times Cited: 22
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