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:

Generative-Adversarial-Network-Based Image Reconstruction for the Capacitively Coupled Electrical Impedance Tomography of Stroke
Mikhail Ivanenko, Damian Wanta, Waldemar T. Smolik, et al.
Life (2024) Vol. 14, Iss. 3, pp. 419-419
Open Access | Times Cited: 5

Showing 5 citing articles:

An Intuitive Approach on Transfer Learning with an IBF+IHP Model for Stroke Classification and Prediction
Talekar Rohini, P. Praveen
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19655-19660
Open Access

Synthetic Genitourinary Image Synthesis via Generative Adversarial Networks: Enhancing Artificial Intelligence Diagnostic Precision
Derek J. Van Booven, Cheng-Bang Chen, Sheetal Malpani, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 7, pp. 703-703
Open Access | Times Cited: 2

Synthetic Genitourinary Image Synthesis via Generative Adversarial Networks: Enhancing AI Diagnostic Precision
Derek J. Van Booven, Cheng-Bang Chen, Sheetal Malpani, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Artificial intelligence and stroke imaging
Jane Maryam Rondina, Parashkev Nachev
Current Opinion in Neurology (2024) Vol. 38, Iss. 1, pp. 40-46
Open Access | Times Cited: 1

Real-Time Nonlinear Image Reconstruction in Electrical Capacitance Tomography Using the Generative Adversarial Network
Damian Wanta, Mikhail Ivanenko, Waldemar T. Smolik, et al.
Information (2024) Vol. 15, Iss. 10, pp. 617-617
Open Access

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Requested Article:

Showing 5 citing articles:

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