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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:

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions
Tugba Akinci D’Antonoli, Arnaldo Stanzione, Christian Bluethgen, et al.
Diagnostic and Interventional Radiology (2023) Vol. 30, Iss. 2, pp. 80-90
Open Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs
Wang Li, Xi Chen, Xiangwen Deng, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 77
A pilot study on the efficacy of GPT-4 in providing orthopedic treatment recommendations from MRI reports
Daniel Truhn, Christian David Weber, Benedikt J. Braun, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 43
The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI
Takeshi Nakaura, Rintaro Ito, Daiju Ueda, et al.
Japanese Journal of Radiology (2024) Vol. 42, Iss. 7, pp. 685-696
Open Access | Times Cited: 28
A future role for health applications of large language models depends on regulators enforcing safety standards
Oscar Freyer, Isabella C. Wiest, Jakob Nikolas Kather, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 9, pp. e662-e672
Open Access | Times Cited: 23
Assessing the Responses of Large Language Models (ChatGPT-4, Gemini, and Microsoft Copilot) to Frequently Asked Questions in Breast Imaging: A Study on Readability and Accuracy
Murat Tepe, Emre Emekli
Cureus (2024)
Open Access | Times Cited: 17
Optimizing Large Language Models in Radiology and Mitigating Pitfalls: Prompt Engineering and Fine-tuning
T. Kim, Michael Makutonin, Reza Sirous, et al.
Radiographics (2025) Vol. 45, Iss. 4
Closed Access | Times Cited: 2
The virtual reference radiologist: comprehensive AI assistance for clinical image reading and interpretation
Robert Siepmann, Marc Huppertz, Annika Rastkhiz, et al.
European Radiology (2024) Vol. 34, Iss. 10, pp. 6652-6666
Open Access | Times Cited: 10
Ethical Considerations in Human-Centered AI: Advancing Oncology Chatbots through Large Language Models (Preprint)
James C. L. Chow, Kay Li
JMIR Bioinformatics and Biotechnology (2024) Vol. 5, pp. e64406-e64406
Open Access | Times Cited: 10
Prompt Engineering Paradigms for Medical Applications: Scoping Review
Jamil Zaghir, Marco Naguib, Mina Bjelogrlic, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e60501-e60501
Open Access | Times Cited: 9
Benchmarking of Commercial Large Language Models: ChatGPT, Mistral, and Llama
Guangyu Hou, Qin Lian
Research Square (Research Square) (2024)
Open Access | Times Cited: 8
The Role of AI in the Evaluation of Neuroendocrine Tumors: Current State of the Art
Felipe Lopez-Ramirez, Mohammad Yasrab, Florent Tixier, et al.
Seminars in Nuclear Medicine (2025)
Closed Access | Times Cited: 1
From Bench to Bedside With Large Language Models: AJR Expert Panel Narrative Review
Rajesh Bhayana, Som Biswas, Tessa S. Cook, et al.
American Journal of Roentgenology (2024) Vol. 223, Iss. 3
Closed Access | Times Cited: 7
From Revisions to Insights: Converting Radiology Report Revisions into Actionable Educational Feedback Using Generative AI Models
Shawn Lyo, Suyash Mohan, Alvand Hassankhani, et al.
Deleted Journal (2024)
Open Access | Times Cited: 7
Image biomarkers and explainable AI: handcrafted features versus deep learned features
Leonardo Rundo, Carmelo Militello
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 7
Fine-Tuning LLMs for Specialized Use Cases
D. M. Anisuzzaman, Jeffrey G. Malins, Paul A. Friedman, et al.
Mayo Clinic Proceedings Digital Health (2024) Vol. 3, Iss. 1, pp. 100184-100184
Open Access | Times Cited: 7
Accuracies of large language models in answering radiation protection questions
Eren Çamur, Turay Cesur, Yasin Celal Güneş
Journal of Radiological Protection (2024) Vol. 44, Iss. 2, pp. 024501-024501
Open Access | Times Cited: 6
Ethical Considerations and Fundamental Principles of Large Language Models in Medical Education: Viewpoint
Li Zhui, Fenghe Li, Xuehu Wang, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e60083-e60083
Open Access | Times Cited: 6
AI-Assisted Summarization of Radiologic Reports: Evaluating GPT3davinci, BARTcnn, LongT5booksum, LEDbooksum, LEDlegal, and LEDclinical
Aichi Chien, Hubert Tang, Bhavita Jagessar, et al.
American Journal of Neuroradiology (2024) Vol. 45, Iss. 2, pp. 244-248
Open Access | Times Cited: 5
A retrospective evaluation of the potential of ChatGPT in the accurate diagnosis of acute stroke
Beyza Nur Kuzan, İsmail Meşe, Servan Yaşar, et al.
Diagnostic and Interventional Radiology (2024)
Open Access | Times Cited: 5
Advances in research and application of artificial intelligence and radiomic predictive models based on intracranial aneurysm images
Zhongjian Wen, Yiren Wang, Yuxin Zhong, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 4
The policies on the use of large language models in radiological journals are lacking: a meta-research study
Jingyu Zhong, Yue Xing, Yangfan Hu, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Evaluating Microsoft Bing with ChatGPT-4 for the assessment of abdominal computed tomography and magnetic resonance images
Alperen Elek, Duygu Doğa Ekizalioğlu, Ezgi Güler
Diagnostic and Interventional Radiology (2024)
Open Access | Times Cited: 4
Evaluation of Advanced Artificial Intelligence Algorithms’ Diagnostic Efficacy in Acute Ischemic Stroke: A Comparative Analysis of ChatGPT-4o and Claude 3.5 Sonnet Models
Mustafa Koyun, İsmail Taşkent
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 571-571
Open Access
The potential of generative AI with prostate-specific membrane antigen (PSMA) PET/CT: challenges and future directions
Md Zobaer Islam, Ergi Spiro, Pew‐Thian Yap, et al.
Medical Review (2025)
Open Access
Large language models in methodological quality evaluation of radiomics research based on METRICS: ChatGPT vs NotebookLM vs radiologist
İsmail Meşe, Burak Koçak
European Journal of Radiology (2025), pp. 111960-111960
Closed Access
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