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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.

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Showing 1-25 of 39 citing articles:

Multimedia design for learner interest and achievement: a visual guide to pharmacology
Tyler Bland, Meize Guo, Tonia A. Dousay
BMC Medical Education (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 8
Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance
Yizhou Fan, Luzhen Tang, Huixiao Le, et al.
British Journal of Educational Technology (2024)
Closed Access | Times Cited: 5
Differences in User Perception of Artificial Intelligence-Driven Chatbots and Traditional Tools in Qualitative Data Analysis
Boštjan Šumak, Maja Pušnik, Ines Kožuh, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 631-631
Open Access
Choose Your Own Adventure: Using Twine for Gamified Interactive Learning in Veterinary Anaesthesia
José Ignacio Redondo, M. Reyes Marti-Scharfhausen, Agustín Martínez-Albiñana, et al.
Veterinary Sciences (2025) Vol. 12, Iss. 2, pp. 156-156
Open Access
Exploring the Feasibility of Generative AI in Persona Research: A Comparative Analysis of Large Language Model-Generated and Human-Crafted Personas in Obesity Research
Urška Smrke, Ana Rehberger, Nejc Plohl, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1937-1937
Open Access
Artificial intelligence in qualitative analysis: a practical guide and reflections based on results from using GPT to analyze interview data in a substance use program
Yang Yang, Liran Ma
Quality & Quantity (2025)
Closed Access
Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence
Andres Karjus
Humanities and Social Sciences Communications (2025) Vol. 12, Iss. 1
Open Access
Advancing AI-driven thematic analysis in qualitative research: a comparative study of nine generative models on Cutaneous Leishmaniasis data
Issam Bennis, Safwane Mouwafaq
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Large Language Models and the challenge of analyzing discriminatory discourse: human-AI synergy in researching hate speech on social media
Petre Breazu, Miriam Schirmer, Songbo Hu, et al.
Journal of Multicultural Discourses (2025), pp. 1-19
Open Access
Exploring the Use of a Large Language Model for Inductive Content Analysis in a Discourse Network Analysis Study
Steve Randerson, Thomas Graydon‐Guy, En‐Yi Lin, et al.
Social Science Computer Review (2025)
Closed Access
ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development
Amanda Barany, Nidhi Nasiar, Chelsea Porter, et al.
Lecture notes in computer science (2024), pp. 134-149
Closed Access | Times Cited: 4
Integrating AI language models in qualitative research: Replicating interview data analysis with ChatGPT
Mohammad S. Jalali, Ali Akhavan
System Dynamics Review (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 3
Large language models can enable inductive thematic analysis of a social media corpus in a single prompt: Human validation study (Preprint)
Michael Deiner, Vlad Honcharov, Jiawei Li, et al.
JMIR Infodemiology (2024) Vol. 4, pp. e59641-e59641
Open Access | Times Cited: 2
Inductive thematic analysis of healthcare qualitative interviews using open-source large language models: how does it compare to traditional methods?
Walter S. Mathis, Sophia Zhao, Nicholas Pratt, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 255, pp. 108356-108356
Closed Access | Times Cited: 2
Critical Success Factors of Sustainability Implementation in the Construction Industry
Esra Dobrucalı, Sevilay Demirkesen, Chengyi Zhang, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3661-3661
Open Access | Times Cited: 2
Comparing the Efficacy and Efficiency of Human and GenAI Qualitative Thematic Analyses (Preprint)
Maximo Prescott, Samantha Yeager, Lillian Ham, et al.
JMIR AI (2024) Vol. 3, pp. e54482-e54482
Open Access | Times Cited: 1
Exploring Impacts of Gojek Application as a Sharing Economy Tool on Indonesian Economics and Society: Systematic Literature Review Approach
Leonardo Gunawan
Journal of Ecohumanism (2024) Vol. 3, Iss. 4, pp. 1390-1405
Open Access | Times Cited: 1
Applying Large Language Models to Interpret Qualitative Interviews in Healthcare
Marie Wosny, Janna Hastings
Studies in health technology and informatics (2024)
Open Access | Times Cited: 1
FAIL: Analyzing Software Failures from the News Using LLMs
Dharun Anandayuvaraj, Marius R. Campbell, Arav Tewari, et al.
(2024), pp. 506-518
Open Access | Times Cited: 1
A Systematic Literature Review of Empirical Research on Applying Generative Artificial Intelligence in Education
Xin Zhang, Peng Zhang, Yuan Shen, et al.
Frontiers of digital education. (2024) Vol. 1, Iss. 3, pp. 223-245
Closed Access | Times Cited: 1
Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study (Preprint)
Michael Deiner, Vlad Honcharov, Jiawei Li, et al.
(2024)
Closed Access
The ‘Implicit Intelligence’ of artificial intelligence. Investigating the potential of large language models in social science research
Ottorino Cappelli, Marco Aliberti, Rodrigo Praino
Political Research Exchange (2024) Vol. 6, Iss. 1
Open Access
Tecnologias transformativas: inteligência artificial e grandes modelos de língua na pesquisa qualitativa
António Pedro Costa
Revista Baiana de Enfermagem‏ (2024) Vol. 38
Open Access
Defining and Resolving Contradictions in Cultural-Historical Activity Theory
Sherika Tamara Jackson
(2024)
Open Access
Reflections on inductive thematic saturation as a potential metric for measuring the validity of an inductive thematic analysis with LLMs
Stefano De Paoli, Walter S. Mathis
Quality & Quantity (2024)
Open Access
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