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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 18 citing articles:

AI in neurosurgical education: Can machines learn to see like surgeons?
Ari Metalin Ika Puspita, Mimin Ninawati, Farida Istianah, et al.
Journal of Clinical Neuroscience (2025), pp. 111153-111153
Closed Access | Times Cited: 1
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
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
Capable exam-taker and question-generator: the dual role of generative AI in medical education assessment
Yihong Qiu, Chang Liu
Global Medical Education (2025)
Open Access
Generative artificial intelligence powered chatbots in urology
Zahra Khawaja, Mohammed Zain Ulabedin Adhoni, Kevin Gerard Byrnes
Current Opinion in Urology (2025)
Closed Access
Performance of artificial intelligence on a simulated Canadian urology board exam
Naji J. Touma, Jessica E. Caterini, Kiera Liblk
Canadian Urological Association Journal (2024) Vol. 18, Iss. 10
Open Access | Times Cited: 4
From GPT-3.5 to GPT-4.o: A Leap in AI’s Medical Exam Performance
Markus Kipp
Information (2024) Vol. 15, Iss. 9, pp. 543-543
Open Access | Times Cited: 4
Evaluation of validity and reliability of AI Chatbots as public sources of information on dental trauma
A Johnson, Tarun Kumar Singh, Aakash Gupta, et al.
Dental Traumatology (2024)
Closed Access | Times Cited: 4
Which current chatbot is more competent in urological theoretical knowledge? A comparative analysis by the European board of urology in-service assessment
Mehmet Fatih Şahin, Çağrı Doğan, Erdem Can Topkaç, et al.
World Journal of Urology (2025) Vol. 43, Iss. 1
Open Access
Evaluating interactions of patients with large language models for medical information
Nicolas Carl, Sarah Haggenmüller, Christoph Wies, et al.
BJU International (2025)
Open Access
Evaluating the Efficacy of AI Chatbots as Tutors in Urology: A Comparative Analysis of Responses to the 2022 In-Service Assessment of the European Board of Urology
Matthias May, Katharina Körner-Riffard, Lisa Kollitsch, et al.
Urologia Internationalis (2024) Vol. 108, Iss. 4, pp. 359-366
Open Access | Times Cited: 3
Comparing Patient’s Confidence in Clinical Capabilities in Urology: Large Language Models Versus Urologists
Nicolas Carl, Lisa Nguyen, Sarah Haggenmüller, et al.
European Urology Open Science (2024) Vol. 70, pp. 91-98
Open Access | Times Cited: 2
Large language models in radiology: Fluctuating performance and decreasing discordance over time
Mahesh Gupta, John Virostko, Christopher R. Kaufmann
European Journal of Radiology (2024) Vol. 182, pp. 111842-111842
Closed Access | Times Cited: 2
ChatGPT and generative AI in urology and surgery—A narrative review
Shane Qin, Bodie Chislett, Joseph Ischia, et al.
BJUI Compass (2024)
Open Access | Times Cited: 1
Letter to the editor, “How does artificial intelligence master urological board examinations?”
Junjun Wang, Yun Xing
World Journal of Urology (2024) Vol. 42, Iss. 1
Open Access
Artificial intelligence and master urological board examinations: comment
Hinpetch Daungsupawong, Viroj Wiwanitkit
World Journal of Urology (2024) Vol. 42, Iss. 1
Closed Access
Beyond the hype: Unveiling the challenges of large language models in urology
Jethro C.C. Kwong, David‐Dan Nguyen, Adree Khondker, et al.
Canadian Urological Association Journal (2024) Vol. 18, Iss. 10, pp. 333-4
Open Access
Artificial intelligence versus human touch: can artificial intelligence accurately generate a literature review on laser technologies?
F. Panthier, Hugh Crawford‐Smith, Elena Álvarez, et al.
World Journal of Urology (2024) Vol. 42, Iss. 1
Closed Access
ChatGPT 3.5 and 4 Provide Mostly Accurate Information When Answering Patients’ Questions Relating to Femoroacetabular Impingement Syndrome and Arthroscopic Hip Surgery
David Slawaska‐Eng, Yoan Bourgeault‐Gagnon, Dan Cohen, et al.
Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine (2024), pp. 100376-100376
Open Access
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