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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:

Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions
Tianyu Han, Lisa C. Adams, Keno K. Bressem, et al.
JAMA (2024) Vol. 331, Iss. 15, pp. 1320-1320
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

ChatGPT: The End of Online Exam Integrity?
Teo Sušnjak, Timothy R. McIntosh
Education Sciences (2024) Vol. 14, Iss. 6, pp. 656-656
Open Access | Times Cited: 49
Performance of Multimodal Artificial Intelligence Chatbots Evaluated on Clinical Oncology Cases
David Chen, Ryan S. Huang, Jane Jomy, et al.
JAMA Network Open (2024) Vol. 7, Iss. 10, pp. e2437711-e2437711
Open Access | Times Cited: 5
Medical large language models are susceptible to targeted misinformation attacks
Tianyu Han, Sven Nebelung, Firas Khader, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 4
The use of large language models in detecting Chinese ultrasound report errors
Yuqi Yan, Kai Wang, Bojian Feng, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Prompt injection attacks on vision language models in oncology
Jan Clusmann, Dyke Ferber, Isabella C. Wiest, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
AI‐Powered Laryngoscopy: Exploring the Future With Google Gemini
Sean A. Setzen, Katerina Andreadis, Olivier Elemento, et al.
The Laryngoscope (2025)
Closed Access
Artificial Intelligence in Relation to Accurate Information and Tasks in Gynecologic Oncology and Clinical Medicine—Dunning–Kruger Effects and Ultracrepidarianism
Edward J. Pavlik, Jason Woodward, Frank Lawton, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 735-735
Open Access
A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians
Hirotaka Takita, Daijiro Kabata, Shannon L. Walston, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Comparative analysis of large language models on rare disease identification
Guangyu Ao, Min Chen, Jing Li, et al.
Orphanet Journal of Rare Diseases (2025) Vol. 20, Iss. 1
Open Access
Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks
Felix J. Dorfner, Amin Dada, Felix Busch, et al.
Journal of the American Medical Informatics Association (2025)
Closed Access
Semantic Clinical Artificial Intelligence vs Native Large Language Model Performance on the USMLE
Peter L. Elkin, G.K. Mehta, Frank LeHouillier, et al.
JAMA Network Open (2025) Vol. 8, Iss. 4, pp. e256359-e256359
Open Access
Comparing Diagnostic Accuracy of Clinical Professionals and Large Language Models: Systematic Review and Meta-Analysis
Guxue Shan, Xiaonan Chen, Chen Wang, et al.
JMIR Medical Informatics (2025) Vol. 13, pp. e64963-e64963
Open Access
Evaluating ChatGPT-4’s Accuracy in Identifying Final Diagnoses Within Differential Diagnoses Compared With Those of Physicians: Experimental Study for Diagnostic Cases
Takanobu Hirosawa, Yukinori Harada, Kazuya Mizuta, et al.
JMIR Formative Research (2024) Vol. 8, pp. e59267-e59267
Open Access | Times Cited: 3
Toward Foundation Models in Radiology? Quantitative Assessment of GPT-4V’s Multimodal and Multianatomic Region Capabilities
Quirin Strotzer, Felix Nieberle, Laura S. Kupke, et al.
Radiology (2024) Vol. 313, Iss. 2
Closed Access | Times Cited: 3
Multimodal Large Language Model Passes Specialty Board Examination and Surpasses Human Test-Taker Scores: A Comparative Analysis Examining the Stepwise Impact of Model Prompting Strategies on Performance
Jamil S. Samaan, Samuel Margolis, Nitin Srinivasan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Evaluating local open-source large language models for data extraction from unstructured reports on mechanical thrombectomy in patients with ischemic stroke
Aymen Meddeb, Philipe Ebert, Keno K. Bressem, et al.
Journal of NeuroInterventional Surgery (2024), pp. jnis-022078
Closed Access | Times Cited: 1
Comparative Study to Evaluate the Accuracy of Differential Diagnosis Lists Generated by Gemini Advanced, Gemini, and Bard for a Case Report Series Analysis: An Experimental Study (Preprint)
Takanobu Hirosawa, Yukinori Harada, Kazuki Tokumasu, et al.
JMIR Medical Informatics (2024) Vol. 12, pp. e63010-e63010
Open Access | Times Cited: 1
Accuracy Evaluation of GPT-Assisted Differential Diagnosis in Emergency Department
Fatemeh Shah-Mohammadi, Joseph Finkelstein
Diagnostics (2024) Vol. 14, Iss. 16, pp. 1779-1779
Open Access | Times Cited: 1
Comparative Analysis of Diagnostic Performance: Differential Diagnosis Lists by LLaMA3 versus LLaMA2 for case reports (Preprint)
Takanobu Hirosawa, Yukinori Harada, Kazuki Tokumasu, et al.
JMIR Formative Research (2024) Vol. 8, pp. e64844-e64844
Open Access | Times Cited: 1
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 | Times Cited: 1
Performance of a large language model for identifying central line-associated bloodstream infections (CLABSI) using real clinical notes
Guillermo Rodriguez‐Nava, Goar Egoryan, Katherine E Goodman, et al.
Infection Control and Hospital Epidemiology (2024), pp. 1-4
Open Access | Times Cited: 1
SMART: Development and Application of a Multimodal Multi-organ Trauma Screening Model for Abdominal Injuries in Emergency Settings
Yaning Wang, Jingfeng Zhang, Mingyang Li, et al.
Academic Radiology (2024)
Open Access | Times Cited: 1
Comparative Study to Evaluate the Accuracy of Differential Diagnosis Lists Generated by Gemini Advanced, Gemini, and Bard for a Case Report Series Analysis: An Experimental Study (Preprint)
Takanobu Hirosawa, Yukinori Harada, Kazuki Tokumasu, et al.
(2024)
Open Access
Will Chat-GPT disrupt healthcare?
Antonio García-Romero
Journal of Healthcare Quality Research (2024) Vol. 39, Iss. 5, pp. 271-272
Closed Access
The potential, limitations, and future of diagnostics enhanced by generative artificial intelligence
Takanobu Hirosawa, Taro Shimizu
Diagnosis (2024) Vol. 11, Iss. 4, pp. 446-449
Closed Access
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