OpenAlex Citation Counts

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:

A Review of Deep Learning Imaging Diagnostic Methods for COVID-19
Tao Zhou, Fengzhen Liu, Huiling Lu, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1167-1167
Open Access | Times Cited: 5

Showing 5 citing articles:

Cn2a-capsnet: a capsule network and CNN-attention based method for COVID-19 chest X-ray image diagnosis
Hui Zhang, Ziwei Lv, Shengdong Liu, et al.
Deleted Journal (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 2

Conditional cascaded network (CCN) approach for diagnosis of COVID-19 in chest X-ray and CT images using transfer learning
Amr E. Eldin Rashed, Waleed M. Bahgat
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105563-105563
Closed Access | Times Cited: 5

Enhancing multiclass COVID-19 prediction with ESN-MDFS: Extreme smart network using mean dropout feature selection technique
Saghir Ahmed, Basit Raza, Lal Hussain, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0310011-e0310011
Open Access

RETRACTED: A user-friendly AI-based clinical decision support system for rapid detection of pandemic diseases: Covid-19 and Monkeypox
Tuba Adar, Elif Kılıç Delice, Orhan Delıce
Journal of Intelligent & Fuzzy Systems (2023) Vol. 46, Iss. 2, pp. 5343-5358
Closed Access | Times Cited: 1

Fast bilateral weighted least square for the detail enhancement of COVID-19 chest X-rays
Wenyan Bian, Yang Yang
Digital Health (2023) Vol. 9
Open Access | Times Cited: 1

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Requested Article:

Showing 5 citing articles:

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