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:

Large language models and bariatric surgery patient education: a comparative readability analysis of GPT-3.5, GPT-4, Bard, and online institutional resources
Nitin Srinivasan, Jamil S. Samaan, Nithya Rajeev, et al.
Surgical Endoscopy (2024) Vol. 38, Iss. 5, pp. 2522-2532
Open Access | Times Cited: 15

Showing 15 citing articles:

De novo generation of colorectal patient educational materials using large language models: Prompt engineering key to improved readability
India E. Ellison, Wendelyn M. Oslock, Abiha Abdullah, et al.
Surgery (2025) Vol. 180, pp. 109024-109024
Closed Access | Times Cited: 1

Large language models in patient education: a scoping review of applications in medicine
Serhat Aydın, Mert Karabacak, Victoria Vlachos, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 7

Performance of Artificial Intelligence Chatbots in Responding to Patient Queries Related to Traumatic Dental Injuries: A Comparative Study
Yeliz Güven, Omer Tarik Ozdemir, Melis Yazır Kavan
Dental Traumatology (2024)
Closed Access | Times Cited: 5

Evaluation of Nutritional Recommendations Provided by the ChatGPT Language Model to Bariatric Surgery Patients
Mehmet Yıldırım, Hikmet Bayam, Nida Yıldız, et al.
Romanian Journal of Internal Medicine (2025)
Open Access

Research trends and the impact of ChatGPT on educational environments
Thoriqi Firdaus, Rizqoh Mufidah, Rika Nur Hamida, et al.
International Journal of Social Sciences and Education Research (2025) Vol. 11, Iss. 1, pp. 36-53
Open Access

Utilizing large language models for gastroenterology research: a conceptual framework
Parul Berry, Rohan Raju Dhanakshirur, Sahil Khanna
Therapeutic Advances in Gastroenterology (2025) Vol. 18
Open Access

People Living with Chronic Pain Experience a High Prevalence of Decision Regret in Canada: A Pan-Canadian Online Survey
Florian Naye, Yannick Tousignant‐Laflamme, Maxime Sasseville, et al.
Medical Decision Making (2025)
Closed Access

Optimizing Natural Language Processing: A Comparative Analysis of GPT-3.5, GPT-4, and GPT-4o
Manuel Ayala-Chauvín, Fátima Avilés-Castillo
Data & Metadata (2024) Vol. 3
Closed Access | Times Cited: 2

Improving readability and comprehension levels of otolaryngology patient education materials using ChatGPT
A. Oliva, Luke J. Pasick, Michael E. Hoffer, et al.
American Journal of Otolaryngology (2024) Vol. 45, Iss. 6, pp. 104502-104502
Closed Access | Times Cited: 1

Evaluating the accuracy and reproducibility of ChatGPT-4 in answering patient questions related to small intestinal bacterial overgrowth
Lauren Schlussel, Jamil S. Samaan, Yin Yin Chan, et al.
Artificial Intelligence in Gastroenterology (2024) Vol. 5, Iss. 1
Open Access

ChatGPT as a Source for Patient Information on Patellofemoral Surgery—A Comparative Study Amongst Laymen, Doctors, and Experts
Andreas Frodl, Andreas Fuchs, Tayfun Yilmaz, et al.
Clinics and Practice (2024) Vol. 14, Iss. 6, pp. 2376-2384
Open Access

GPT-4 Improves Readability of Institutional Heart Failure Patient Education Materials
Ryan C. King, Jamil S. Samaan, Joseph Haquang, et al.
(2024)
Closed Access

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