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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.

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Showing 19 citing articles:

How does artificial intelligence master urological board examinations? A comparative analysis of different Large Language Models’ accuracy and reliability in the 2022 In-Service Assessment of the European Board of Urology
Lisa Kollitsch, Klaus Eredics, Martin Marszalek, et al.
World Journal of Urology (2024) Vol. 42, Iss. 1
Closed Access | Times Cited: 18
Superhuman performance on urology board questions using an explainable language model enhanced with European Association of Urology guidelines
Martin J. Hetz, Nicolas Carl, Sarah Haggenmüller, et al.
ESMO Real World Data and Digital Oncology (2024) Vol. 6, pp. 100078-100078
Open Access | Times Cited: 7
Development of a Liver Disease-Specific Large Language Model Chat Interface using Retrieval Augmented Generation
Jin Ge, Steve Sun, Joseph F. Owens, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 19
Performance of ChatGPT-3.5 and ChatGPT-4 on the European Board of Urology (EBU) exams: a comparative analysis
Justine Schoch, H. U. Schmelz, Angelina Strauch, et al.
World Journal of Urology (2024) Vol. 42, Iss. 1
Closed Access | Times Cited: 6
Benefits of Artificial Intelligence in Urology to Bridge Healthcare Gaps in Developing Countries
A Pasha, Nazanin Hajiebrahimi, Mahdi Amirchaghmaghy, et al.
InfoScience Trends (2025) Vol. 2, Iss. 1, pp. 14-25
Closed Access
Deriving Insights from Enhanced Accuracy: Leveraging Prompt Engineering in Custom GPT for Assessing Chinese Nursing Licensing Exam
Jane Zhao, Haiyan Wang, Ran Wang, et al.
Nurse Education in Practice (2025) Vol. 84, pp. 104284-104284
Open Access
Large Language Models in Uro-oncology
Dyke Ferber, Jakob Nikolas Kather
European Urology Oncology (2023) Vol. 7, Iss. 1, pp. 157-159
Closed Access | Times Cited: 11
Would Uro_Chat, a Newly Developed Generative Artificial Intelligence Large Language Model, Have Successfully Passed the In-Service Assessment Questions of the European Board of Urology in 2022?
Matthias May, Katharina Körner-Riffard, Martin Marszalek, et al.
European Urology Oncology (2023) Vol. 7, Iss. 1, pp. 155-156
Closed Access | Times Cited: 8
Applications of artificial intelligence in urologic oncology
Sahyun Pak, Sung Gon Park, Jeonghyun Park, et al.
Investigative and Clinical Urology (2024) Vol. 65, Iss. 3, pp. 202-202
Open Access | Times Cited: 2
Enhancement of Large Language Models' Performance in Diabetes Education: Retrieval-Augmented Generation Approach (Preprint)
Dingqiao Wang, J. K. Liang, Jinguo Ye, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e58041-e58041
Open Access | Times Cited: 2
Artificial Intelligence‐Generated Patient Education Materials for Helicobacter pylori Infection: A Comparative Analysis
Shuyan Zeng, Qingzhou Kong, Xiaoqi Wu, et al.
Helicobacter (2024) Vol. 29, Iss. 4
Closed Access | Times Cited: 2
Development of a Vascular Surgery–Specific Artificial Intelligence Chat Interface Using Retrieval-Augmented Generation: VASC.AI, A Specialized Vascular Surgery Chatbot
Tiam Feridooni, Arshia Javidan, Daniyal N. Mahmood, et al.
JVS-Vascular Insights (2024), pp. 100137-100137
Open Access | Times Cited: 2
Testing and Validation of a Custom Retrained Large Language Model for the Supportive Care of HN Patients with External Knowledge Base
Libing Zhu, Yi Rong, L.A. McGee, et al.
Cancers (2024) Vol. 16, Iss. 13, pp. 2311-2311
Open Access | Times Cited: 1
Clinical artificial intelligence: teaching a large language model to generate recommendations that align with guidelines for the surgical management of GERD
Bright Huo, Nana Marfo, Patricia Sylla, et al.
Surgical Endoscopy (2024) Vol. 38, Iss. 10, pp. 5668-5677
Closed Access | Times Cited: 1
Can ChatGPT Realistically and Reproducibly Assess the Difficulty Level of Written Questions in the In-Service Assessment of the European Board of Urology? [Urology, 2023 Jul;177:29-33. doi: 10.1016/j.urology.2023.05.010]
Matthias May, Katharina Körner-Riffard, Lisa Kollitsch
Urology (2023) Vol. 183, pp. 302-303
Closed Access | Times Cited: 2
Editorial on large language models
Christopher Deibert
Translational Andrology and Urology (2024) Vol. 13, Iss. 5, pp. 897-898
Open Access
Development and initial evaluation of a conversational agent for Alzheimer′s disease
Natalia Castano-Villegas, Isabella Llano, Maria Camila Villa, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Enhancement of the Performance of Large Language Models in Diabetes Education through Retrieval-Augmented Generation: Comparative Study (Preprint)
Dingqiao Wang, J. K. Liang, Jinguo Ye, et al.
(2024)
Closed Access
Current status and future direction of cancer research using artificial intelligence for clinical application
Ryuji Hamamoto, Masaaki Komatsu, Masayoshi Yamada, et al.
Cancer Science (2024)
Open Access
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