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:

Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education
Hyoungwook Jin, Seong Hee Lee, Hyungyu Shin, et al.
(2024), pp. 1-28
Open Access | Times Cited: 13

Showing 13 citing articles:

Promises and challenges of generative artificial intelligence for human learning
Lixiang Yan, Samuel Greiff, Ziwen Teuber, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 10, pp. 1839-1850
Closed Access | Times Cited: 28

Students’ perceived roles, opportunities, and challenges of a generative AI-powered teachable agent: a case of middle school math class
Yukyeong Song, Jinhee Kim, Zifeng Liu, et al.
Journal of Research on Technology in Education (2025), pp. 1-19
Open Access | Times Cited: 1

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools
James Prather, Juho Leinonen, Natalie Kiesler, et al.
(2025), pp. 300-338
Open Access | Times Cited: 1

Use of ChatBots in Programming Education: A Scoping Review
João Victor Barbosa Alves, Yanna Torres Gonçalves, H. Silva
(2024), pp. 1744-1755
Closed Access

Risk management strategy for generative AI in computing education: how to handle the strengths, weaknesses, opportunities, and threats?
Niklas Humble
International Journal of Educational Technology in Higher Education (2024) Vol. 21, Iss. 1
Open Access

A Personalized Education Chatbot for the Novice Programmers in Action
Matej Ondov, Tomáš Kormaník, Jaroslav Porubän
(2024), pp. 264-268
Closed Access

TreeQuestion: Assessing Conceptual Learning Outcomes with LLM-Generated Multiple-Choice Questions
Zirui Cheng, J. Xu, Haojian Jin
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW2, pp. 1-29
Open Access

Student-AI Interaction: A Case Study of CS1 students
Matin Amoozadeh, Daye Nam, Daniel Prol, et al.
(2024), pp. 1-13
Open Access

The Future of Learning: Large Language Models through the Lens of Students
H. Zhang, Jingyi Xie, Chuhao Wu, et al.
(2024), pp. 12-18
Closed Access

Tailoring Your Code Companion: Leveraging LLMs and RAG to Develop a Chatbot to Support Students in a Programming Course
Carlos Alario‐Hoyos, Rebiha Kemcha, Carlos Delgado Kloos, et al.
(2024), pp. 1-8
Closed Access

Directions for using Generative Artificial Intelligence in Introductory Programming
M. S. Dolinsky
WSEAS TRANSACTIONS ON COMPUTERS (2024) Vol. 23, pp. 262-269
Open Access

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