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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:

Comparison of the Performance of GPT-3.5 and GPT-4 With That of Medical Students on the Written German Medical Licensing Examination: Observational Study
A. Meyer, Janik Riese, Thomas Streichert
JMIR Medical Education (2024) Vol. 10, pp. e50965-e50965
Open Access | Times Cited: 37

Showing 26-50 of 37 citing articles:

Dermatological Knowledge and Image Analysis Performance of Large Language Models Based on Specialty Certificate Examination in Dermatology
Ka Siu Fan, Ka Hay Fan
Dermato (2024) Vol. 4, Iss. 4, pp. 124-135
Open Access | Times Cited: 1
Large language models in medicine: A review of current clinical trials across healthcare applications
Mahmud Omar, Girish N. Nadkarni, Eyal Klang, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 11, pp. e0000662-e0000662
Open Access | Times Cited: 1
Responsible use of chatbots to advance the laboratory hematology scientific literature: Challenges and opportunities
Fabienne Lucas, Ian Mackie, Giuseppe d’Onofrio, et al.
International Journal of Laboratory Hematology (2024) Vol. 46, Iss. S1, pp. 9-11
Closed Access
Accuracy of Different Generative Artificial Intelligence Models in Medical Question Answering: A Systematic Review and Network Meta-Analysis
Ling Wang, Jinglin Li, Boyang Zhuang, et al.
(2024)
Closed Access
MediScan: A Framework of U-Health and Prognostic AI Assessment on Medical Imaging
Sibtain Syed, Rehan Ahmed, Arshad Iqbal, et al.
Journal of Imaging (2024) Vol. 10, Iss. 12, pp. 322-322
Open Access
The Evaluation of Generative AI Should Include Repetition to Assess Stability (Preprint)
Lingxuan Zhu, Weiming Mou, Chenglin Hong, et al.
(2024)
Open Access
Evaluating ChatGPT's effectiveness and tendencies in Japanese internal medicine
Yudai Kaneda, Akari Tayuinosho, Rika Tomoyose, et al.
Journal of Evaluation in Clinical Practice (2024) Vol. 30, Iss. 6, pp. 1017-1023
Closed Access
Performance of GPT-4 and mainstream Chinese Large Language Models on the Chinese Postgraduate Examination dataset: Potential for AI-assisted Traditional Chinese Medicine
Suyuan Peng, Yan Zhu, Baifeng Wang, et al.
Research Square (Research Square) (2024)
Open Access
Performance of ChatGPT Across Different Versions in Medical Licensing Examinations Worldwide: A Systematic Review and Meta-Analysis (Preprint)
Mingxin Liu, Tsuyoshi Okuhara, Xinyi Chang, et al.
(2024)
Open Access
Understanding model power in social AI
Petter Bae Brandtzæg, Marita Skjuve, Asbjørn Følstad
AI & Society (2024)
Open Access
Performance of GPT-4 and mainstream Chinese Large Language Models on the Chinese Postgraduate Examination dataset: Potential for AI-assisted Traditional Chinese Medicine (Preprint)
Suyuan Peng, Yan Zhu, Baifeng Wang, et al.
(2024)
Closed Access
ChatGPT, Google, or PINK? Who Provides the Most Reliable Information on Side Effects of Systemic Therapy for Early Breast Cancer?
Stefan Lukac, Sebastian Griewing, Elena Leinert, et al.
Clinics and Practice (2024) Vol. 15, Iss. 1, pp. 8-8
Open Access
A comparative analysis of GPT-3.5 and GPT-4.0 on a multiple-choice ophthalmology question bank: A study on artificial intelligence developments
Süleyman Demir
Romanian Journal of Ophthalmology (2024) Vol. 68, Iss. 4
Closed Access
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