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:

An innovative ensemble model based on deep learning for predicting COVID-19 infection
Xiaoying Su, Yanfeng Sun, Liu Hong-xi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8

Showing 8 citing articles:

The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
George Lăzăroiu, Tom Gedeon, Elżbieta Rogalska, et al.
Oeconomia Copernicana (2024) Vol. 15, Iss. 1, pp. 27-58
Open Access | Times Cited: 11

An interpretable machine learning framework for diagnosis and prognosis of COVID-19
Yongxian Fan, Meng Liu, Guicong Sun
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0291961-e0291961
Open Access | Times Cited: 11

Digital mapping of soil salinity with time-windows features optimization and ensemble learning model
Shuaishuai Shi, Nan Wang, Songchao Chen, et al.
Ecological Informatics (2024), pp. 102982-102982
Open Access | Times Cited: 3

Automated classification in turtles genus Malayemys using ensemble multiview image based on improved YOLOv8 with CNN
Wararat Songpan, Thotsapol Chaianunporn, Khemika Lomthaisong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Hybrid grey assisted whale optimization based machine learning for the COVID-19 prediction
A. Shyamala, S. Murugeswari, G. Mahendran, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2023), pp. 1-10
Closed Access

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