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:

Evaluating capabilities of large language models: Performance of GPT-4 on surgical knowledge assessments
Brendin R. Beaulieu‐Jones, Margaret T. Berrigan, Sahaj S. Shah, et al.
Surgery (2024) Vol. 175, Iss. 4, pp. 936-942
Open Access | Times Cited: 25

Showing 25 citing articles:

The performance of artificial intelligence large language model-linked chatbots in surgical decision-making for gastroesophageal reflux disease
Bright Huo, Elisa Calabrese, Patricia Sylla, et al.
Surgical Endoscopy (2024) Vol. 38, Iss. 5, pp. 2320-2330
Closed Access | Times Cited: 8

AI Versus MD: Evaluating the surgical decision-making accuracy of ChatGPT-4
Deanna Palenzuela, John T. Mullen, Roy Phitayakorn
Surgery (2024) Vol. 176, Iss. 2, pp. 241-245
Closed Access | Times Cited: 7

Large language models in healthcare: from a systematic review on medical examinations to a comparative analysis on fundamentals of robotic surgery online test
Andrea Moglia, Κωνσταντίνος Γεωργίου, Pietro Cerveri, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 7

Artificial Intelligence and ChatGPT in Abdominopelvic Surgery: A Systematic Review of Applications and Impact
Marta Goglia, Marco Pace, Marco Yusef, et al.
In Vivo (2024) Vol. 38, Iss. 3, pp. 1009-1015
Open Access | Times Cited: 4

Assessing the performance of Microsoft Copilot, GPT-4 and Google Gemini in ophthalmology
Meziane Silhadi, Wissam B. Nassrallah, David Mikhail, et al.
Canadian Journal of Ophthalmology (2025)
Open 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

Conversational Guide for Cataract Surgery Complications: A Comparative Study of Surgeons versus Large Language Model-Based Chatbot Generated Instructions for Patient Interaction
Sathishkumar Sundaramoorthy, Vineet Ratra, Vijay Shankar S, et al.
Ophthalmic Epidemiology (2025), pp. 1-8
Closed Access

Integrating domain-specific knowledge and fine-tuned general-purpose large language models for question-answering in construction engineering management
Shenghua Zhou, Xiaoyang Liu, Dezhi Li, et al.
Automation in Construction (2025) Vol. 175, pp. 106206-106206
Closed Access

The Intersection of Generative AI and Healthcare: Addressing Challenges to Enhance Patient Care
Elham Albaroudi, Taha Mansouri, Ali Alameer
(2024), pp. 134-140
Closed Access | Times Cited: 3

Performance of 5 Prominent Large Language Models in Surgical Knowledge Evaluation: A Comparative Analysis
Adam M. Ostrovsky, Joshua Chen, Vishal N. Shah, et al.
Mayo Clinic Proceedings Digital Health (2024) Vol. 2, Iss. 3, pp. 348-350
Open Access | Times Cited: 2

Exploring the role of AI in classifying, analyzing, and generating case reports on assisted suicide cases: feasibility and ethical implications
Giovanni Spitale, Gerold Schneider, Federico Germani, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 5

The scientific knowledge of three large language models in cardiology: multiple-choice questions examination-based performance
Ibraheem Altamimi, Abdullah Alhumimidi, Salem Alshehri, et al.
Annals of Medicine and Surgery (2024)
Open Access | Times Cited: 1

Developing and validating a knowledge-based AI assessment system for learning clinical core medical knowledge in otolaryngology
Jun‐Ming Su, Su-Yi Hsu, Te-Yung Fang, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108765-108765
Closed Access

Artificial intelligence large language model scores highly on focused practice designation in metabolic and bariatric surgery board practice questions
Andrew J. Sanders, R Lim, D. A. Jones, et al.
Surgical Endoscopy (2024) Vol. 38, Iss. 11, pp. 6678-6681
Closed Access

Battle of the bots: a comparative analysis of ChatGPT and bing AI for kidney stone-related questions
Amber McMahon, Russell Terry, Willian E. Ito, et al.
World Journal of Urology (2024) Vol. 42, Iss. 1
Closed Access

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