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.

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Showing 10 citing articles:

A survey of machine learning-based methods for COVID-19 medical image analysis
Kashfia Sailunaz, Tansel Özyer, Jon Rokne, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 6, pp. 1257-1297
Open Access | Times Cited: 21

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 Different Traditional Approach for Automatic Comparative Machine Learning in Multimodality Covid-19 Severity Recognition
Mohammadreza Saraei, Saba Rahmani, Saman Rajebi, et al.
International Journal of Innovation in Engineering (2023) Vol. 3, Iss. 1, pp. 1-12
Open Access | Times Cited: 6

Analysis of COVID-19 Death Cases Using Machine Learning
Humaira Aslam, Santanu Biswas
SN Computer Science (2023) Vol. 4, Iss. 4
Open Access | Times Cited: 3

An Experimental Study and Performance Analysis of Supervised Machine Learning Algorithms for Prognosis of Chronic Kidney Disease
Sanskruti Patel, Rachana Patel, Nilay Ganatra, et al.
2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) (2022), pp. 1-6
Closed Access | Times Cited: 3

Comparative assessment of machine learning algorithms to predict severity of disease in COVID-19 patients based on eight cofactors
Tanviben Patel, Daxesh P. Patel, Hoda El-Sayed, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

A Comprehensive Review of COVID-19 Detection and Prediction Using of ML/DL Method
Md. Sadab, Deepak Kumar, Ved Parkash
Springer eBooks (2023), pp. 761-770
Closed Access

Exploring the Factors behind COVID-19 Surge: Predictive Modeling and Analysis
Aniruddha Prabhu B P, Tushar Sharma, Rakesh Dani, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access

Forecasting Prediction of Covid-19 Outbreak Using Linear Regression
Gurleen Kaur, Parminder Kaur, Navinderjit Kaur, et al.
Algorithms for intelligent systems (2022), pp. 195-221
Closed Access

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