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:

Perception of Race and Sex Diversity in Ophthalmology by Artificial Intelligence: A DALL E-2 Study
Hassaam S. Choudhry, Usman Toor, Alexandra J Sanchez, et al.
Clinical ophthalmology (2023) Vol. Volume 17, pp. 2889-2899
Open Access | Times Cited: 13

Showing 13 citing articles:

Deep learning in medicine: advancing healthcare with intelligent solutions and the future of holography imaging in early diagnosis
Asifa Nazir, Ahsan Hussain, Mandeep Singh, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6

Fitness for Purpose of Text-to-Image Generative Artificial Intelligence Image Creation in Medical Imaging
Geoffrey Currie, Johnathan Hewis, Elizabeth Hawk, et al.
Journal of Nuclear Medicine Technology (2025) Vol. 53, Iss. 1, pp. 63-67
Closed Access

Generative Artificial Intelligence in Nuclear Medicine Education
Geoffrey Currie
Journal of Nuclear Medicine Technology (2025) Vol. 53, Iss. 1, pp. 72-79
Closed Access

Evaluation of Large Language Models' Concordance With Guidelines on Olfaction
Ariana L. Shaari, Anthony Saad, Disha Patil, et al.
Laryngoscope Investigative Otolaryngology (2025) Vol. 10, Iss. 2
Open Access

Gender bias in generative artificial intelligence text-to-image depiction of medical students
Geoffrey Currie, Josie Currie, Sam Anderson, et al.
Health Education Journal (2024) Vol. 83, Iss. 7, pp. 732-746
Open Access | Times Cited: 2

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3
Geoffrey Currie, Johnathan Hewis, Elizabeth Hawk, et al.
Journal of Nuclear Medicine Technology (2024), pp. jnmt.124.268359-jnmt.124.268359
Closed Access | Times Cited: 2

Gender and ethnicity bias in generative artificial intelligence text-to-image depiction of pharmacists
Geoffrey Currie, George John, Johnathan Hewis
International Journal of Pharmacy Practice (2024)
Open Access | Times Cited: 1

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 1: Preliminary Evaluation
Geoffrey Currie, Johnathan Hewis, Elizabeth Hawk, et al.
Journal of Nuclear Medicine Technology (2024), pp. jnmt.124.268332-jnmt.124.268332
Closed Access | Times Cited: 1

Evaluating Text-to-Image Generated Photorealistic Images of Human Anatomy
Paula Muhr, Yating Pan, Charlotte Tumescheit, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Gender Bias in Text-to-Image Generative Artificial Intelligence When Representing Cardiologists
Geoffrey Currie, Christina Chandra, Hosen Kiat
Information (2024) Vol. 15, Iss. 10, pp. 594-594
Open Access

Evaluating Text-to-Image Generated Photorealistic Images of Human Anatomy
Paula Muhr, Yating Pan, Charlotte Tumescheit, et al.
Cureus (2024)
Open Access

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