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:

Clinical applications of artificial intelligence in radiology
Claudia Mello‐Thoms, C.A.B. Mello
British Journal of Radiology (2023) Vol. 96, Iss. 1150
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Capability of multimodal large language models to interpret pediatric radiological images
Thomas P. Reith, Donna M. D’Alessandro, Michael P. D’Alessandro
Pediatric Radiology (2024) Vol. 54, Iss. 10, pp. 1729-1737
Closed Access | Times Cited: 6

From Diagnosis to Precision Surgery: The Transformative Role of Artificial Intelligence in Urologic Imaging
Labeeqa Khizir, Vineet Bhandari, Srivarsha Kaloth, et al.
Journal of Endourology (2024) Vol. 38, Iss. 8, pp. 824-835
Closed Access | Times Cited: 5

More sustainable use of iodinated contrast media – Why?
Andrew England, Mohammad Rawashdeh, Niamh Moore, et al.
Radiography (2024) Vol. 30, pp. 74-80
Open Access | Times Cited: 5

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

Upskilling or deskilling? Measurable role of an AI-supported training for radiology residents: a lesson from the pandemic
Mattia Savardi, Alberto Signoroni, Sergio Benini, et al.
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access

Assessment of breast composition in MRI using artificial intelligence – A systematic review
Philip Murphy, Mark F. McEntee, Michael M. Maher, et al.
Radiography (2025) Vol. 31, Iss. 2, pp. 102900-102900
Open Access

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

The Road Map for ACR Practice Accreditation for Radiology Artificial Intelligence
David B. Larson, Mythreyi Bhargavan, Michael Tilkin, et al.
Journal of the American College of Radiology (2025)
Closed Access

Radiology AI Lab: Evaluation of Radiology Applications with Clinical End-Users
Olivier Paalvast, Merlijn Sevenster, Omar Hertgers, et al.
Deleted Journal (2025)
Open Access

Imaging in chronic thromboembolic pulmonary disease: Current practice and advances
Hakim Ghani, Jonathan R. Weir‐McCall, Alessandro Ruggiero, et al.
International Journal of Cardiology Congenital Heart Disease (2024) Vol. 17, pp. 100536-100536
Open Access | Times Cited: 4

Emerging paradigms in microwave imaging technology for biomedical applications: unleashing the power of artificial intelligence
Nazish Khalid, Muhammad Zubair, Muhammad Qasim Mehmood, et al.
npj Imaging (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 3

BIBLIOMETRIC ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE RESEARCH: TRENDS AND FUTURE DIRECTIONS
Renganathan Senthil, Thirunavukarasou Anand, Chaitanya Sree Somala, et al.
Future Healthcare Journal (2024) Vol. 11, Iss. 3, pp. 100182-100182
Open Access | Times Cited: 3

Attitudes and perceptions of Thai medical students regarding artificial intelligence in radiology and medicine
Salita Angkurawaranon, Nakarin Inmutto, Kittipitch Bannangkoon, et al.
BMC Medical Education (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3

Artificial Intelligence - A Primer for Diagnosis and Interpretation of Breast Cancer
Anand Mohan Jha, Abikesh Prasada Kumar Mahapatra, John Abraham, et al.
International Journal of Trends in OncoScience (2024), pp. 27-36
Open Access | Times Cited: 2

Computer‐assisted urine cytology: Faster, cheaper, better?
Chiara Ciaparrone, Elisabetta Maffei, Vincenzo L’Imperio, et al.
Cytopathology (2024) Vol. 35, Iss. 5, pp. 634-641
Closed Access | Times Cited: 2

Teaching Artificial Intelligence Literacy: A Challenge in the Education of Radiology Residents
Claudia Mello‐Thoms
Academic Radiology (2023) Vol. 30, Iss. 7, pp. 1488-1490
Closed Access | Times Cited: 5

A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification
Clare A. Primiero, Brigid Betz‐Stablein, Nathan Ascott, et al.
Frontiers in Medicine (2024) Vol. 11
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

Artificial intelligence in assisted reproductive technology: how best to optimize this tool of the future
Marcelle I. Cedars
Fertility and Sterility (2023) Vol. 120, Iss. 1, pp. 1-2
Closed Access | Times Cited: 3

AI algorithmically-enhanced motion suppression simulating an osteochondral defect in a young child
Gregory Aird, Paul G. Thacker, Kimberly K. Amrami
Radiology Case Reports (2024) Vol. 19, Iss. 11, pp. 5213-5215
Open Access

The knowledge and perception of patients in Malta towards artificial intelligence in medical imaging
Francesca Xuereb, Dr Jonathan L Portelli
Journal of medical imaging and radiation sciences (2024) Vol. 55, Iss. 4, pp. 101743-101743
Open Access

Deep Machine Learning for Automatic Segmentation of the Pancreatic Parenchyma and its hypo- and hypervascular lesions on CT Images
K. A. Zamyatina, Alexandra V. Zharikova, E. V. Kondratev, et al.
Medical Visualization (2024) Vol. 28, Iss. 3, pp. 12-21
Closed Access

Development and Validation of a Questionnaire to Assess the Radiologists’ Views on the Implementation of Artificial Intelligence in Radiology (ATRAI-14)
Yuriy А. Vasilev, Anton V. Vladzymyrskyy, Yulya A. Alymova, et al.
Healthcare (2024) Vol. 12, Iss. 19, pp. 2011-2011
Open Access

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