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:

GPT-4 Turbo with Vision fails to outperform text-only GPT-4 Turbo in the Japan Diagnostic Radiology Board Examination
Yuichiro Hirano, Shouhei Hanaoka, Takahiro Nakao, et al.
Japanese Journal of Radiology (2024) Vol. 42, Iss. 8, pp. 918-926
Open Access | Times Cited: 25

Showing 25 citing articles:

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: 26

Diagnostic accuracy of vision-language models on Japanese diagnostic radiology, nuclear medicine, and interventional radiology specialty board examinations
Tatsushi Oura, Hiroyuki Tatekawa, Daisuke Horiuchi, et al.
Japanese Journal of Radiology (2024) Vol. 42, Iss. 12, pp. 1392-1398
Open Access | Times Cited: 11

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.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 10

Evaluating GPT-4o's Performance in the Official European Board of Radiology Exam: A Comprehensive Assessment
Muhammed Said Beşler, Laura Oleaga, Vanesa Junquero, et al.
Academic Radiology (2024)
Closed Access | Times Cited: 7

No improvement found with GPT-4o: results of additional experiments in the Japan Diagnostic Radiology Board Examination
Yuichiro Hirano, Shouhei Hanaoka, Takahiro Nakao, et al.
Japanese Journal of Radiology (2024) Vol. 42, Iss. 11, pp. 1352-1353
Closed Access | Times Cited: 6

Evaluating AI Proficiency in Nuclear Cardiology: Large Language Models take on the Board Preparation Exam
Valerie Builoff, Aakash Shanbhag, Robert J.H. Miller, et al.
Journal of Nuclear Cardiology (2024), pp. 102089-102089
Closed Access | Times Cited: 5

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: 4

Can GPT-4o Accurately Diagnose Trauma X-rays? A Comparative Study with Expert Evaluations.
Ahmet Öztürk, Serkan Günay, Serdal ATEŞ, et al.
Journal of Emergency Medicine (2025)
Closed Access

Benchmarking Vision Capabilities of Large Language Models in Surgical Examination Questions
Jean‐Paul Bereuter, Mark Enrik Geissler, Anna Klimová, et al.
Journal of surgical education (2025) Vol. 82, Iss. 4, pp. 103442-103442
Open Access

Evaluating AI Proficiency in Nuclear Cardiology: Large Language Models take on the Board Preparation Exam
Valerie Builoff, Aakash Shanbhag, Robert JH Miller, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3

GPT-4 Vision: Multi-Modal Evolution of ChatGPT and Potential Role in Radiology
Ramin Javan, Theodore Kim, Navid Mostaghni
Cureus (2024)
Open Access | Times Cited: 3

Diagnostic Accuracy of Vision-Language Models on Japanese Diagnostic Radiology, Nuclear Medicine, and Interventional Radiology Specialty Board Examinations
Tatsushi Oura, Hiroyuki Tatekawa, Daisuke Horiuchi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

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: 2

It is Not Time to Kick Out Radiologists
Yuta Nakamura, Yuki Sonoda, Yosuke Yamagishi, et al.
Asian Bioethics Review (2024) Vol. 17, Iss. 1, pp. 9-15
Open Access | Times Cited: 1

The critical need for an open medical imaging database in Japan: implications for global health and AI development
Daiju Ueda, Shannon L. Walston, Hirotaka Takita, et al.
Japanese Journal of Radiology (2024)
Open Access | Times Cited: 1

GPT-4 turbo with vision fails to outperform text-only GPT-4 turbo in the Japan diagnostic radiology board examination: correspondence
Amnuay Kleebayoon, Viroj Wiwanitkit
Japanese Journal of Radiology (2024) Vol. 42, Iss. 10, pp. 1213-1213
Open Access

Capability of GPT-4o in cranial imaging interpretation for emergency medicine
Muhammed Said Beşler
The American Journal of Emergency Medicine (2024)
Closed Access

Evaluating ChatGPT-4's Performance in Identifying Radiological Anatomy in FRCR Part 1 Examination Questions
Pradosh Kumar Sarangi, Suvrankar Datta, Braja Behari Panda, et al.
Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging (2024) Vol. 35, Iss. 02, pp. 287-294
Open Access

Comparative Analysis of Large Language Models' Performance in Breast Imaging
Muhammed Said Beşler
Turkish Journal of Clinics and Laboratory (2024)
Open Access

Role of visual information in multimodal large language model performance: an evaluation using the Japanese nuclear medicine board examination
Takashi Watanabe, Akira Baba, Takeshi Fukuda, et al.
Annals of Nuclear Medicine (2024)
Closed Access

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