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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:

Reliability of ChatGPT for performing triage task in the emergency department using the Korean Triage and Acuity Scale
Jae Hyuk Kim, Sun Kyung Kim, Jongmyung Choi, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs)
Joschka Haltaufderheide, Robert Ranisch
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 17
Decoding medical jargon: The use of AI language models (ChatGPT-4, BARD, microsoft copilot) in radiology reports
Murat Tepe, Emre Emekli
Patient Education and Counseling (2024) Vol. 126, pp. 108307-108307
Closed Access | Times Cited: 14
Using the Regression Slope of Training Loss to Optimize Chest X-ray Generation in Deep Convolutional Generative Adversarial Networks
Chih‐Hsiung Chen, Kuang-Yu Hsieh, Kuo-En Huang, et al.
Cureus (2025)
Open Access | Times Cited: 1
Emergency Patient Triage Improvement through a Retrieval-Augmented Generation Enhanced Large-Scale Language Model
Megumi Yazaki, Satoshi Maki, Takeo Furuya, et al.
Prehospital Emergency Care (2024), pp. 1-7
Closed Access | Times Cited: 6
Evaluation of Generative Artificial Intelligence Models in Predicting Pediatric Emergency Severity Index Levels
Brandon Ho, Lu Meng, Xuan Wang, et al.
Pediatric Emergency Care (2025)
Closed Access
Effectiveness of Artificial intelligence chatbots in providing labor epidural analgesia Information: Are we there yet?
P. Keasler, Justin Chan, Ban Leong Sng
International Journal of Obstetric Anesthesia (2025), pp. 104353-104353
Closed Access
A Practical Guide to the Utilization of ChatGPT in the Emergency Department: A Systematic Review of Current Applications, Future Directions, and Limitations
N.J. Meyer, John W. Meyer
Cureus (2025)
Open Access
Medical validity and layperson interpretation of emergency visit recommendations by the GPT model: A cross‐sectional study
Chie Tanaka, Takahiro Kinoshita, Yohei Okada, et al.
Acute Medicine & Surgery (2025) Vol. 12, Iss. 1
Open Access
Large language model application in emergency medicine and critical care
Haw Hwai, Yi-Ju Ho, Chih‐Hung Wang, et al.
Journal of the Formosan Medical Association (2024)
Open Access | Times Cited: 2
User satisfaction with the service quality of ChatGPT
Kim Shin Young, Sang-Gun Lee, Ga Youn Hong
Service Business (2024)
Closed Access | Times Cited: 2
Exploring the potential of artificial intelligence models for triage in the emergency department
Fatma Tortum, Kamber Kaşalı
Postgraduate Medicine (2024) Vol. 136, Iss. 8, pp. 841-846
Closed Access | Times Cited: 2
Geriatric Population Triage: The Risk of Real-Life Over- and Under-Triage in an Overcrowded ED: 4- and 5-Level Triage Systems Compared: The CREONTE (Crowding and R E Organization National TriagE) Study
Gabriele Savioli, Iride Francesca Ceresa, Maria Antonietta Bressan, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 2, pp. 195-195
Open Access | Times Cited: 1
Diagnostic Performance of ChatGPT to perform emergency department triage: A systematic review and meta-analysis
Navid Kaboudi, Saeedeh Firouzbakht, Mohammad Shahir Eftekhar, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
ChatGPT 3.5 and 4.0 Do Not Reliably Create Readable Patient Education Materials for Common Orthopaedic Upper and Lower Extremity Conditions.
Ryan S. Marder, George Abdelmalek, Sean Richards, et al.
Arthroscopy Sports Medicine and Rehabilitation (2024), pp. 101027-101027
Open Access | Times Cited: 1
Exploring the opportunities of large language models for summarizing palliative care consultations: A pilot comparative study
Xiao Chen, Wei Zhou, Rashina Hoda, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
Leveraging Large Language Models for Improved Understanding of Communications With Patients With Cancer in a Call Center Setting: Proof-of-Concept Study
Seung‐Beom Cho, Mangyeong Lee, J. S. Yu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e63892-e63892
Open Access | Times Cited: 1
Evaluating LLM-based generative AI tools in emergency triage: A comparative study of ChatGPT Plus, Copilot Pro, and triage nurses
Banu Arslan, Çağatay Nuhoğlu, Merve OSOYDAN SATICI, et al.
The American Journal of Emergency Medicine (2024) Vol. 89, pp. 174-181
Closed Access | Times Cited: 1
Paramedicine Literature Search
Brenda Morrisey, Shaughn Maxwell
International Journal of Paramedicine (2024), Iss. 6, pp. 194-249
Open Access
Drinking from the Holy Grail—Does a Perfect Triage System Exist? And Where to Look for It?
Anna Ingielewicz, Piotr Rychlik, Mariusz Siemiński
Journal of Personalized Medicine (2024) Vol. 14, Iss. 6, pp. 590-590
Open Access
Evaluating Large Language Models’ Ability Using a Psychiatric Screening Tool Based on Metaphor and Sarcasm Scenarios
Hiromu Yakura
Journal of Intelligence (2024) Vol. 12, Iss. 7, pp. 70-70
Open Access
An Evaluation on the Potential of Large Language Models for Use in Trauma Triage
Kelvin Le, Jiahang Chen, Deon Mai, et al.
Emergency Care and Medicine (2024) Vol. 1, Iss. 4, pp. 350-367
Open Access
ChatGPT’s performance in the Specialist Health Practitioner exam for Hospital Emergency, responses from GPT-3.5 and GPT-4.0 to 150 multiple-choice questions
Alejandro García‐Rudolph, David Sánchez-Pinsach, Eloy Opisso
European Journal of Emergency Medicine (2024) Vol. 31, Iss. 6, pp. 438-439
Closed Access
Usefulness and limitations of ChatGPT in getting information on teratogenic drugs exposed in pregnancy
Jung Yeol Han
Obstetrics & Gynecology Science (2024)
Open Access
Evaluating the Utility of ChatGPT in Diagnosing and Managing Maxillofacial Trauma
Evan Rothchild, Caroline Baker, Isabelle T. Smith, et al.
Journal of Craniofacial Surgery (2024)
Closed Access
Leveraging Large Language Models for Improved Understanding of Communications With Patients With Cancer in a Call Center Setting: Proof-of-Concept Study (Preprint)
Seung‐Beom Cho, Mangyeong Lee, J. S. Yu, et al.
(2024)
Closed Access
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