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:

Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study
Riaan van de Venter, Emily Skelton, Jacqueline Matthew, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 24

Showing 24 citing articles:

Ethical AI: a qualitative study exploring ethical challenges and solutions on the use of AI in medical imaging
Nikolaos Stogiannos, Eleni Georgiadou, Nikoleta Rarri, et al.
(2025), pp. 100006-100006
Open Access | Times Cited: 1

Responsible AI practice and AI education are central to AI implementation: a rapid review for all medical imaging professionals in Europe
G. Walsh, Nikolaos Stogiannos, Riaan van de Venter, et al.
BJR|Open (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 22

A scoping review of educational programmes on artificial intelligence (AI) available to medical imaging staff
Gloria Doherty, Laura McLaughlin, Ciara Hughes, et al.
Radiography (2024) Vol. 30, Iss. 2, pp. 474-482
Open Access | Times Cited: 12

AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers
Nikolaos Stogiannos, Tracy O’Regan, Erica Scurr, et al.
Radiography (2024) Vol. 30, Iss. 2, pp. 612-621
Open Access | Times Cited: 11

Black box no more: A cross-sectional multi-disciplinary survey for exploring governance and guiding adoption of AI in medical imaging and radiotherapy in the UK
Nikolaos Stogiannos, Lia Litosseliti, Tracy O’Regan, et al.
International Journal of Medical Informatics (2024) Vol. 186, pp. 105423-105423
Open Access | Times Cited: 9

The American Society of Radiologic Technologists (ASRT) AI educator survey: A cross-sectional study to explore knowledge, experience, and use of AI within education
Nikolaos Stogiannos, Michael Jennings, Craig St George, et al.
Journal of medical imaging and radiation sciences (2024) Vol. 55, Iss. 4, pp. 101449-101449
Open Access | Times Cited: 5

Artificial Intelligence user interface preferences in radiology: A scoping review
Avneet Gill, Clare Rainey, Laura L. McLaughlin, et al.
Journal of medical imaging and radiation sciences (2025) Vol. 56, Iss. 3, pp. 101866-101866
Open Access

A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders
Nikolaos Stogiannos, Caitlin Gillan, Helle Precht, et al.
Journal of medical imaging and radiation sciences (2024) Vol. 55, Iss. 4, pp. 101717-101717
Closed Access | Times Cited: 4

Artificial intelligence in medical imaging education: Recommendations for undergraduate curriculum development
Elizabeth A. Crotty, A. Singh, N Neligan, et al.
Radiography (2024) Vol. 30, pp. 67-73
Open Access | Times Cited: 4

R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles
Nikolaos Stogiannos, G. Walsh, Benard Ohene Botwe, et al.
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access

AI in Professional Development for English Language Teachers
Tendai Charles
Advances in computational intelligence and robotics book series (2025), pp. 73-92
Closed Access

Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers
Mélanie Champendal, Stephanie De Labouchère, Switinder Singh Ghotra, et al.
Journal of medical imaging and radiation sciences (2024) Vol. 55, Iss. 4, pp. 101741-101741
Closed Access | Times Cited: 3

Nuclear medicine technologists practice impacted by AI denoising applications in PET/CT images
Mélanie Champendal, R S T Ribeiro, Henning Müller, et al.
Radiography (2024) Vol. 30, Iss. 4, pp. 1232-1239
Open Access | Times Cited: 2

Perspectives of Medical Imaging Professionals about the Impact of AI on Swiss Radiographers
Mélanie Champendal, Stephanie De Labouchère, Switinder Singh Ghotra, et al.
(2024)
Open Access | Times Cited: 1

Technology‐enabled patient care in medical radiation sciences: the two sides of the coin
Christina Malamateniou
Journal of Medical Radiation Sciences (2024) Vol. 71, Iss. 3, pp. 326-329
Open Access | Times Cited: 1

Artificial Intelligence in radiography education: A scoping review protocol. (Preprint)
Chamandra Kammies, Elize Archer, Penelope Engel‐Hills, et al.
(2024)
Open Access

Current Situation and Prospects of Education in Medical Imaging Artificial Intelligence
Xuejun Zhang, Lin Jiang, Liang Meng, et al.
(2024), pp. 415-429
Closed Access

Artificial intelligence (AI) in radiography practice, research and education: A review of contemporary developments and predictions for the future
Christina Malamateniou, Tracy O’Regan, Sonyia McFadden, et al.
Radiography (2024) Vol. 30, pp. 56-59
Closed Access

Exploring curriculum considerations to prepare future radiographers for an AI-assisted healthcare environment: a scoping review protocol (Preprint)
Chamandra Kammies, Elize Archer, Penelope Engel‐Hills, et al.
JMIR Research Protocols (2024) Vol. 14, pp. e60431-e60431
Open Access

Artificial intelligence education in medical imaging: A scoping review
Samantha M. Loi, W.S. Ng, Christopher Lai, et al.
Journal of medical imaging and radiation sciences (2024) Vol. 56, Iss. 2, pp. 101798-101798
Closed Access

AI in Healthcare Education: A Systematic Review of Applications in Teaching and Learning
Venkat Bakthavatchaalam, K. Siva Sankar
Approaches to global sustainability, markets, and governance (2024), pp. 253-274
Closed Access

Blended Learning based Artificial Intelligence Mapping to Optimize Learning Performance
Andri Pranolo, Andini Isti Syafitri, Sularso Sularso, et al.
(2023), pp. 1-4
Closed Access

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