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.

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Showing 26-50 of 55 citing articles:

Efficiency, accuracy, and health professional's perspectives regarding artificial intelligence in radiology practice: A scoping review
Chanchan He, Weiqi Liu, Jing Xu, et al.
iRadiology (2024) Vol. 2, Iss. 2, pp. 156-172
Open Access | Times Cited: 3

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

An experimental machine learning study investigating the decision-making process of students and qualified radiographers when interpreting radiographic images
Clare Rainey, Angelina Thomas Villikudathil, Jonathan McConnell, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 10, pp. e0000229-e0000229
Open Access | Times Cited: 8

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 radiologists in Ghana about the emerging role of artificial intelligence in radiology
Emmanuel Kobina Mesi Edzie, Klenam Dzefi‐Tettey, Abdul Raman Asemah, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e15558-e15558
Open Access | Times Cited: 6

Singapore radiographers' perceptions and expectations of artificial intelligence - A qualitative study
Chloe Ng, Sri Nur Aidah Roslan, Yi Hong Chng, et al.
Journal of medical imaging and radiation sciences (2022) Vol. 53, Iss. 4, pp. 554-563
Closed Access | Times Cited: 9

AI-RADS: Successes and challenges of a novel artificial intelligence curriculum for radiologists across different delivery formats
Alexander Lindqwister, Saeed Hassanpour, Joshua M. Levy, et al.
Frontiers in Medical Technology (2023) Vol. 4
Open Access | Times Cited: 5

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

Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross‐Sectional Study
Dalal Hammoudi Halat, Rula Shami, Alaa Daud, et al.
Clinical and Experimental Dental Research (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 1

Radiologic Technology Students’ Perceptions on Adoption of Artificial Intelligence Technology in Radiology
Wejdan M. Arif
International Journal of General Medicine (2024) Vol. Volume 17, pp. 3129-3136
Open Access | Times Cited: 1

A scalable approach for critical care data extraction and analysis in an academic medical center
Sebastian Boie, Falk Meyer-Eschenbach, Fabian Schreiber, et al.
International Journal of Medical Informatics (2024) Vol. 192, pp. 105611-105611
Open Access | Times Cited: 1

Current Radiology workforce perspective on the integration of artificial intelligence in clinical practice: A systematic review
Samuel Arkoh, Theophilus N. Akudjedu, C. Amedu, et al.
Journal of medical imaging and radiation sciences (2024) Vol. 56, Iss. 1, pp. 101769-101769
Closed Access | Times Cited: 1

Methodical integration of AI in healthcare: A systematic review (Preprint)
Gerrit Jacob, Abdelrahman M. Attia
(2024)
Closed Access

Artificial Intelligence in Medical Imaging Technology at a Glance
Euclid Seeram, Vijay A. Kanade
(2024), pp. 1-16
Closed Access

"The system"- An AI-Based Knowledge Recommender to Support Precision Education, Improve Reporting Productivity and Reduce Cognitive Load
Julian Lopez-Rippe, M Vishnu Vardhan Reddy, María Camila Vélez-Flórez, et al.
Research Square (Research Square) (2024)
Open 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

Medical imaging and radiation science students' use of artificial intelligence for learning and assessment
Shantel Lewis, Fatima Bhyat, Yasmin Casmod, et al.
Radiography (2024) Vol. 30, pp. 60-66
Open Access

The Role of Artificial Intelligence in Designing Higher Education Courses: Benefits and Challenges
Ahmed Abdelkader, Hend Hassan, Marwa Abdelkader
Emerald Publishing Limited eBooks (2024), pp. 83-97
Closed Access

RADHawk—an AI-based knowledge recommender to support precision education, improve reporting productivity, and reduce cognitive load
Julian Lopez-Rippe, M Vishnu Vardhan Reddy, María Camila Vélez-Flórez, et al.
Pediatric Radiology (2024) Vol. 55, Iss. 2, pp. 259-267
Closed Access

An evaluation of a checklist in musculoskeletal radiographic image interpretation when using artificial intelligence
Laura McLaughlin, Sonyia McFadden, Angelina Thomas Villikudathil, et al.
Journal of Medical Radiation Sciences (2024)
Open Access

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