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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:

A Novel Evaluation Model for Assessing ChatGPT on Otolaryngology–Head and Neck Surgery Certification Examinations: Performance Study
Cai Long, K. Lowe, Jessica Zhang, et al.
JMIR Medical Education (2023) Vol. 10, pp. e49970-e49970
Open Access | Times Cited: 22

Showing 22 citing articles:

Applications of ChatGPT in Otolaryngology–Head Neck Surgery: A State of the Art Review
Jérôme R. Lechien, Anaïs Rameau
Otolaryngology (2024) Vol. 171, Iss. 3, pp. 667-677
Open Access | Times Cited: 8
Comparative Performance of ChatGPT 3.5 and GPT4 on Rhinology Standardized Board Examination Questions
Evan A. Patel, Lindsay Fleischer, Peter Filip, et al.
OTO Open (2024) Vol. 8, Iss. 2
Open Access | Times Cited: 5
Evaluating artificial intelligence chatbots for patient education in oral and maxillofacial radiology
Dilek Helvacıoğlu-Yiğit, Husniye Demirturk, Ali Kamran, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2025)
Open Access
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
Usefulness of Large Language Models (LLMs) for Student Feedback on H&P During Clerkship: Artificial Intelligence for Personalized Learning
Ahmad A. Bany Abdelnabi, Bülent Soykan, Danish Bhatti, et al.
ACM Transactions on Computing for Healthcare (2025)
Closed Access
Bibliometric analysis of ChatGPT research in medical education (Preprint)
Qi Xu, Yuning Zhang, X. M. Xie
(2025)
Closed Access
The Evaluation of Generative AI Should Include Repetition to Assess Stability
Lingxuan Zhu, Weiming Mou, Chenglin Hong, et al.
JMIR mhealth and uhealth (2024) Vol. 12, pp. e57978-e57978
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
Assessing unknown potential—quality and limitations of different large language models in the field of otorhinolaryngology
Christoph Raphael Buhr, Harry A. Smith, Tilman Huppertz, et al.
Acta Oto-Laryngologica (2024) Vol. 144, Iss. 3, pp. 237-242
Open Access | Times Cited: 3
Generative AI and Otolaryngology—Head & Neck Surgery
Jérôme R. Lechien
Otolaryngologic Clinics of North America (2024) Vol. 57, Iss. 5, pp. 753-765
Closed Access | Times Cited: 2
Opportunities and Challenges of Chatbots in Ophthalmology: A Narrative Review
Mehmet Cem Sabaner, Rodrigo Anguita, Fares Antaki, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 12, pp. 1165-1165
Open Access | Times Cited: 1
Is ChatGPT smarter than Otolaryngology trainees? A comparison study of board style exam questions
Jaimin Patel, Peter Robinson, Elisa A. Illing, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Evaluating the Performance of ChatGPT, Gemini, and Bing Compared with Resident Surgeons in the Otorhinolaryngology In-service Training Examination
Utku Mete
Turkish Archives of Otorhinolaryngology (2024)
Open Access | Times Cited: 1
Can We Trust ChatGPT’s Application to Geriatrics? -An Exploratory Study on ChatGPT’s Geriatric Attitude, Knowledge, and Application (Preprint)
Huai Yong Cheng
(2024)
Closed Access
Application of ChatGPT to Geriatric Practice and Education -An Exploratory Study on ChatGPT’s Geriatric Attitude, Knowledge, and Clinical Application (Preprint)
Huai Yong Cheng
JMIR Formative Research (2024)
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
Comparative Assessment of Otolaryngology Knowledge Among Large Language Models
Dante J. Merlino, Santiago Romero‐Brufau, George Saieed, et al.
The Laryngoscope (2024) Vol. 135, Iss. 2, pp. 629-634
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
Is ChatGPT 3.5 smarter than Otolaryngology trainees? A comparison study of board style exam questions
Jaimin Patel, Peyton Robinson, Elisa A. Illing, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0306233-e0306233
Open Access
Exploring the Ability of ChatGPT to Act as a Research Aid in Otolaryngology
Ariana L. Shaari, Isabel Herzog, Emily M. Kokush, et al.
Indian Journal of Otolaryngology and Head & Neck Surgery (2024) Vol. 76, Iss. 6, pp. 6100-6105
Open Access
Chasing sleep physicians: ChatGPT-4o on the interpretation of polysomnographic results
Christopher Seifen, Tilman Huppertz, Haralampos Gouveris, et al.
European Archives of Oto-Rhino-Laryngology (2024)
Open Access
Systematically Visualizing ChatGPT Used in Higher Education: Publication Trend, Disciplinary Domains, Research Themes, Adoption and Acceptance
Ting Ma
Computers and Education Artificial Intelligence (2024), pp. 100336-100336
Open Access
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