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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:

Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial
Bertalan Meskó
Journal of Medical Internet Research (2023) Vol. 25, pp. e50638-e50638
Open Access | Times Cited: 283

Showing 1-25 of 283 citing articles:

The Impact of Multimodal Large Language Models on Health Care’s Future
Bertalan Meskó
Journal of Medical Internet Research (2023) Vol. 25, pp. e52865-e52865
Open Access | Times Cited: 89
Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs
Wang Li, Xi Chen, Xiangwen Deng, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 77
Large Language Model Influence on Diagnostic Reasoning
Ethan Goh, Robert Gallo, Jason Hom, et al.
JAMA Network Open (2024) Vol. 7, Iss. 10, pp. e2440969-e2440969
Open Access | Times Cited: 69
A guide to artificial intelligence for cancer researchers
Raquel Pérez-López, Narmin Ghaffari Laleh, Faisal Mahmood, et al.
Nature reviews. Cancer (2024) Vol. 24, Iss. 6, pp. 427-441
Closed Access | Times Cited: 60
What are artificial intelligence literacy and competency? A comprehensive framework to support them
Thomas K. F. Chiu, Zubair Ahmad, Murod Ismailov, et al.
Computers and Education Open (2024) Vol. 6, pp. 100171-100171
Open Access | Times Cited: 48
Dr. Google to Dr. ChatGPT: assessing the content and quality of artificial intelligence-generated medical information on appendicitis
Yazid K. Ghanem, Armaun D. Rouhi, Ammr Al-Houssan, et al.
Surgical Endoscopy (2024) Vol. 38, Iss. 5, pp. 2887-2893
Open Access | Times Cited: 30
Large language models for generating medical examinations: systematic review
Yaara Artsi, Vera Sorin, Eli Konen, et al.
BMC Medical Education (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 27
A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care Education and Practice: Development Study Involving a Literature Review
Malik Sallam, Muna Barakat, Mohammed Sallam
Interactive Journal of Medical Research (2024) Vol. 13, pp. e54704-e54704
Open Access | Times Cited: 23
Evaluating ChatGPT-4.0’s data analytic proficiency in epidemiological studies: A comparative analysis with SAS, SPSS, and R
Yeen Huang, Ruipeng Wu, Juntao He, et al.
Journal of Global Health (2024) Vol. 14
Open Access | Times Cited: 22
Generative AI Professional Development Needs for Teacher Educators
Matthew Nyaaba, Xiaoming Zhaı
Journal of AI (2024) Vol. 8, Iss. 1, pp. 1-13
Open Access | Times Cited: 17
Envisioning the Future of ChatGPT in Healthcare: Insights and Recommendations from a Systematic Identification of Influential Research and a Call for Papers
Malik Sallam, Amwaj Al‐Farajat, Jan Egger
Jordan Medical Journal (2024) Vol. 58, Iss. 1
Open Access | Times Cited: 15
Improving EFL students’ cultural awareness: Reframing moral dilemmatic stories with ChatGPT
Yangsheng Zheng, Nicola Stewart
Computers and Education Artificial Intelligence (2024) Vol. 6, pp. 100223-100223
Open Access | Times Cited: 15
Performance of GPT-4 on the American College of Radiology In-training Examination: Evaluating Accuracy, Model Drift, and Fine-tuning
David L. Payne, Kush Purohit, Walter Morales Borrero, et al.
Academic Radiology (2024) Vol. 31, Iss. 7, pp. 3046-3054
Closed Access | Times Cited: 15
How well can a large language model explain business processes as perceived by users?
Dirk Fahland, Lior Limonad, Lior Limonad, et al.
Data & Knowledge Engineering (2025), pp. 102416-102416
Open Access | Times Cited: 4
Large Language Models for Chatbot Health Advice Studies
Bright Huo, A. P. Boyle, Nana Marfo, et al.
JAMA Network Open (2025) Vol. 8, Iss. 2, pp. e2457879-e2457879
Open Access | Times Cited: 3
GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial
Ethan Goh, Robert J. Gallo, Eric Strong, et al.
Nature Medicine (2025)
Closed Access | Times Cited: 3
Group Risks: Thinking Outside the Box
Megan Doerr, Sara Meeder
The American Journal of Bioethics (2025) Vol. 25, Iss. 2, pp. 61-64
Closed Access | Times Cited: 2
Retraining US Workforce in the Age of Agentic Gen AI: Role of Prompt Engineering and Up-Skilling Initiatives
Sanjay Joshi
International Journal of Advanced Research in Science Communication and Technology (2025), pp. 543-557
Open Access | Times Cited: 2
Optimizing Large Language Models in Radiology and Mitigating Pitfalls: Prompt Engineering and Fine-tuning
T. Kim, Michael Makutonin, Reza Sirous, et al.
Radiographics (2025) Vol. 45, Iss. 4
Closed Access | Times Cited: 2
Pilot Testing of a Tool to Standardize the Assessment of the Quality of Health Information Generated by Artificial Intelligence-Based Models
Malik Sallam, Muna Barakat, Mohammed Sallam
Cureus (2023)
Open Access | Times Cited: 37
Below average ChatGPT performance in medical microbiology exam compared to university students
Malik Sallam, Khaled Al‐Salahat
Frontiers in Education (2023) Vol. 8
Open Access | Times Cited: 23
Leveraging the Potential of Large Language Models in Education Through Playful and Game-Based Learning
Stefan E. Huber, Kristian Kiili, Steve Nebel, et al.
Educational Psychology Review (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 14
OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
Jenish Maharjan, Anurag Garikipati, Navan Preet Singh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Prompt Engineering in Healthcare
Rajvardhan Patil, Thomas F Heston, Vijay Bhuse
Electronics (2024) Vol. 13, Iss. 15, pp. 2961-2961
Open Access | Times Cited: 12
Comparison of Prompt Engineering and Fine-Tuning Strategies in Large Language Models in the Classification of Clinical Notes
Xiaodan Zhang, Nabasmita Talukdar, Sandeep Vemulapalli, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 11
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