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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:

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

Showing 1-25 of 28 citing articles:

Comparing the Diagnostic Performance of GPT-4-based ChatGPT, GPT-4V-based ChatGPT, and Radiologists in Challenging Neuroradiology Cases
Daisuke Horiuchi, Hiroyuki Tatekawa, Tatsushi Oura, et al.
Clinical Neuroradiology (2024) Vol. 34, Iss. 4, pp. 779-787
Closed Access | Times Cited: 29
Diagnostic performances of GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro in “Diagnosis Please” cases
Yuki Sonoda, Ryo Kurokawa, Yuta Nakamura, et al.
Japanese Journal of Radiology (2024) Vol. 42, Iss. 11, pp. 1231-1235
Open Access | Times Cited: 24
Leveraging Large Language Models in Radiology Research: A Comprehensive User Guide
Joshua D. Brown, Leon Lenchik, Fayhaa Doja, et al.
Academic Radiology (2025)
Closed Access | Times Cited: 1
Preliminary assessment of TNM classification performance for pancreatic cancer in Japanese radiology reports using GPT-4
Kazufumi Suzuki, Hiroki Yamada, Hiroshi Yamazaki, et al.
Japanese Journal of Radiology (2024)
Open Access | Times Cited: 6
Machine learning for ecological analysis
Zhengyang Yu, Chongfeng Bu, Yanjie Li
Chemical Engineering Journal (2025), pp. 160780-160780
Closed Access
Structured clinical reasoning prompt enhances LLM’s diagnostic capabilities in diagnosis please quiz cases
Yuki Sonoda, Ryo Kurokawa, Akifumi Hagiwara, et al.
Japanese Journal of Radiology (2024)
Open Access | Times Cited: 4
Textual Proficiency and Visual Deficiency: A Comparative Study of Large Language Models and Radiologists in MRI Artifact Detection and Correction
Yasin Celal Güneş, Turay Cesur, Eren Çamur, et al.
Academic Radiology (2025)
Closed Access
Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?
Taiki Nozaki, Masahiro Hashimoto, Daiju Ueda, et al.
La radiologia medica (2025)
Closed Access
Evaluation of radiology residents’ reporting skills using large language models: an observational study
Natsuko Atsukawa, Hiroyuki Tatekawa, Tatsushi Oura, et al.
Japanese Journal of Radiology (2025)
Open Access
Generative AI and large language models in nuclear medicine: current status and future prospects
Kenji Hirata, Yusuke Matsui, Akira Yamada, et al.
Annals of Nuclear Medicine (2024) Vol. 38, Iss. 11, pp. 853-864
Open Access | Times Cited: 3
Evaluation of T2W FLAIR MR image quality using artificial intelligence image reconstruction techniques in the pediatric brain
Usha D. Nagaraj, Jonathan R. Dillman, Jean A. Tkach, et al.
Pediatric Radiology (2024) Vol. 54, Iss. 8, pp. 1337-1343
Open Access | Times Cited: 2
Contrast-enhanced thin-slice abdominal CT with super-resolution deep learning reconstruction technique: evaluation of image quality and visibility of anatomical structures
Atsushi Nakamoto, Hiromitsu Onishi, Takashi Ota, et al.
Japanese Journal of Radiology (2024)
Open Access | Times Cited: 2
Multi-modal large language models in radiology: principles, applications, and potential
Yiqiu Shen, Yanqi Xu, Jiajian Ma, et al.
Abdominal Radiology (2024)
Closed Access | Times Cited: 2
The accuracy of large language models in RANZCR’s clinical radiology exam sample questions
Muhammed Said Beşler
Japanese Journal of Radiology (2024) Vol. 42, Iss. 9, pp. 1080-1080
Open Access | Times Cited: 1
Advancing radiology with GPT-4: Innovations in clinical applications, patient engagement, research, and learning
Sadhana Kalidindi, Janani Baradwaj
European Journal of Radiology Open (2024) Vol. 13, pp. 100589-100589
Open Access | Times Cited: 1
Upgrading Academic Radiology with Open-Source Large Language Models
Partha Pratim Ray
Academic Radiology (2024) Vol. 31, Iss. 10, pp. 4291-4292
Closed Access | Times Cited: 1
Transforming Lung Cancer Screening with AI: Comprehensive Evaluation and Personalized Medicine Prospects
Masahiro Yanagawa, Akinori Hata
Radiology (2024) Vol. 312, Iss. 3
Closed Access | Times Cited: 1
GPT-Driven Radiology Report Generation with Fine-Tuned Llama 3
Ștefan-Vlad Voinea, Mădălin Mămuleanu, Rossy Vlăduț Teică, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 1043-1043
Open Access | Times Cited: 1
The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRI
Tomoyuki Fujioka, Shohei Fujita, Daiju Ueda, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access | Times Cited: 1
Performance of Multimodal Large Language Models in Japanese Diagnostic Radiology Board Examinations (2021-2023)
Takeshi Nakaura, Naofumi Yoshida, Naoki Kobayashi, et al.
Academic Radiology (2024)
Closed Access | Times Cited: 1
Response to Letter to the Editor from Muhammed Said Beşler et al.: “The Performance of the Multimodal Large Language Model GPT-4 on the European Board of Radiology Examination Sample Test”
Takeshi Nakaura, Toshinori Hirai
Japanese Journal of Radiology (2024) Vol. 42, Iss. 8, pp. 928-928
Closed Access
Response to letter to the editor from Dr. Muhammed Said Beşler: ‘the accuracy of large language models in RANZCR’s clinical radiology exam sample questions’
Takeshi Nakaura, Shinji Naganawa
Japanese Journal of Radiology (2024) Vol. 42, Iss. 9, pp. 1081-1082
Closed Access
Deep Learning Artificial Intelligence for Single Photon Emission Computed Tomography: A Comprehensive Overview and Future Perspectives
Rongyu Cui, Xin Xie, Long Fan, et al.
(2024), pp. 416-421
Closed Access
Revolution or risk?—Assessing the potential and challenges of GPT-4V in radiologic image interpretation
Marc Huppertz, Robert Siepmann, David Topp, et al.
European Radiology (2024)
Open Access
Multimodal Foundation Models for Medical Imaging - A Systematic Review and Implementation Guidelines
Shih-Cheng Huang, Malte Jensen, Serena Yeung, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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