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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: a methodology for optimizing interactions with AI-Language Models in the field of engineering
Juan D. Velásquez, Carlos Franco, Lorena Cadavid
DYNA (2023) Vol. 90, Iss. 230, pp. 9-17
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Tell Me Your Prompts and I Will Make Them True: The Alchemy of Prompt Engineering and Generative AI
Aras Bozkurt
Open Praxis (2024) Vol. 16, Iss. 2, pp. 111-118
Open Access | Times Cited: 9
Integrating human expertise & automated methods for a dynamic and multi-parametric evaluation of large language models’ feasibility in clinical decision-making
Elena Sblendorio, Vincenzo Dentamaro, Alessio Lo Cascio, et al.
International Journal of Medical Informatics (2024) Vol. 188, pp. 105501-105501
Open Access | Times Cited: 7
Generative AI and simulation modeling: how should you (not) use large language models like ChatGPT
Ali Akhavan, Mohammad S. Jalali
System Dynamics Review (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 5
Integration of ChatGPT in mathematical story-focused 5E lesson planning: Teachers and pre-service teachers' interactions with ChatGPT
Nurullah ŞİMŞEK
Education and Information Technologies (2025)
Closed Access
Enhancing Technological Taxonomies by Large Language Models
Giuliana Barba, Mariangela Lazoi, Marianna Lezzi
Springer proceedings in business and economics (2025), pp. 109-117
Closed Access
Promptology: Enhancing Human-AI Interaction in Large Language Models
Phillip Olla, Lauren Elliott, Mustafa Abumeeiz
(2024)
Open Access | Times Cited: 4
Facilitating students’ critical thinking, metacognition and problem-solving tendencies in geriatric nursing class: A mixed-method study
Gwo‐Jen Hwang, Pei-Yu Cheng, Ching‐Yi Chang
Nurse Education in Practice (2025) Vol. 83, pp. 104266-104266
Closed Access
The Time Machine: Future Scenario Generation Through Generative AI Tools
Jan Ferrer i Picó, Michelle Catta-Preta, Alejandro Trejo Omeñaca, et al.
Future Internet (2025) Vol. 17, Iss. 1, pp. 48-48
Open Access
Prompt Engineering in Clinical Practice: A Comprehensive Guide for Clinicians (Preprint)
Jialin Liu, Changyu Wang, Siru Liu
(2025)
Closed Access
Empowering LLMs by hybrid retrieval-augmented generation for domain-centric Q&A in smart manufacturing
Y Wan, Zhenyuan Chen, Ying Liu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103212-103212
Open Access
Generative AI Prompt Engineering for Educators: Practical Strategies
Jiyeon Park, Sam Choo
Journal of Special Education Technology (2024)
Closed Access | Times Cited: 2
Comprehensive E-learning of Mathematics using the Halomda Platform enhanced with AI tools
Philip Slobodsky, Mariana Durcheva
Journal of Engineering Research and Sciences (2024) Vol. 3, Iss. 4, pp. 10-19
Closed Access | Times Cited: 1
On the Effectiveness of Large Language Models for GitHub Workflows
Xinyu Zhang, Siddharth Muralee, Sourag Cherupattamoolayil, et al.
Proceedings of the 17th International Conference on Availability, Reliability and Security (2024), pp. 1-14
Open Access | Times Cited: 1
Can LLMs Understand Computer Networks? Towards a Virtual System Administrator
Denis Donadel, Francesco Marchiori, Luca Pajola, et al.
(2024) Vol. 35, pp. 1-10
Closed Access | Times Cited: 1
ChatGPT's Aptitude in Utilizing UML Diagrams for Software Engineering Exercise Generation
Sandro Speth, Niklas Meißner, Steffen Becker
(2024) Vol. 22, pp. 1-5
Closed Access | Times Cited: 1
Automated Programming Exercise Generation in the Era of Large Language Models
Niklas Meißner, Sandro Speth, Steffen Becker
(2024) Vol. 24, pp. 1-5
Closed Access | Times Cited: 1
The Role of Generative Artificial Intelligence in Educational Innovation
Diana C. Burbano G., José Fernando Ibarra Caicedo
Communications in computer and information science (2024), pp. 283-297
Closed Access | Times Cited: 1
Can ChatGPT pass a Theory of Computing Course?
Matei A. Golesteanu, Garrett B. Vowinkel, Ryan E. Dougherty
(2024), pp. 33-38
Open Access | Times Cited: 1
Generative AI and Simulation Modeling: How Should You (Not) Use Large Language Models Like ChatGPT
Ali Akhavan, Mohammad S. Jalali
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 3
WIP: Generative AI as an Enhanced Study Aid in Engineering Courses
Stephen G. McGill, Rebecca McGill
(2024)
Closed Access
Promoting optimal learning with ChatGPT: A comprehensive exploration of prompt engineering in education
Chi Hong Leung
Asian Journal of Contemporary Education (2024) Vol. 8, Iss. 2, pp. 104-114
Open Access
Modelos de lenguaje para la generación de preguntas de programación con diferentes niveles de dificultad
Christian Lopez, Miles Morrison, Matthew Deacon
European Public & Social Innovation Review (2024) Vol. 9, pp. 1-19
Open Access
Generative AI as a Tool for Developing Critical Thinking in Higher Education
Anna A. Arinushkina, Vladimir Abramov, Eteri V. Mindzaeva
Advances in educational technologies and instructional design book series (2024), pp. 283-300
Closed Access
Promptology: Enhancing Human–AI Interaction in Large Language Models
Phillip Olla, Lauren Elliott, Mustafa Abumeeiz, et al.
Information (2024) Vol. 15, Iss. 10, pp. 634-634
Open Access
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