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:

Exploring the risks of automation bias in healthcare artificial intelligence applications: A Bowtie analysis
Moustafa Abdelwanis, Hamdan Khalaf Alarafati, Maram Muhanad Saleh Tammam, et al.
Journal of Safety Science and Resilience (2024) Vol. 5, Iss. 4, pp. 460-469
Open Access | Times Cited: 4

Showing 4 citing articles:

Medical students and ChatGPT: analyzing attitudes, practices, and academic perceptions
Ahmed Samir Abdelhafiz, Maysa I. farghly, Eman A. Sultan, et al.
BMC Medical Education (2025) Vol. 25, Iss. 1
Open Access

International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery
Mohammad Kermansaravi, Sonja Chiappetta, Shahab Shahabi Shahmiri, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Sequential classification approach for enhancing the assessment of cardiac autonomic neuropathy
Moustafa Abdelwanis, Karim Moawad, S M Elbaz Mohammed, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 109999-109999
Open Access

Ensemble deep learning model for protein secondary structure prediction using NLP metrics and explainable AI
Uvarani Vignesh, R. Parvathi, Keerthi Ram
Results in Engineering (2024), pp. 103435-103435
Open Access | Times Cited: 2

Assessing the Efficacy and Clinical Utility of Artificial Intelligence Scribes in Urology
Joseph Moryousef, Praveen Nadesan, Michael Uy, et al.
Urology (2024)
Closed Access | Times Cited: 1

Generalizability, robustness, and correction bias of segmentations of thoracic organs at risk in CT images
Corentin Guérendel, Liliana Petrychenko, Kalina Chupetlovska, et al.
European Radiology (2024)
Closed Access

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