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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:

Working With AI to Persuade: Examining a Large Language Model's Ability to Generate Pro-Vaccination Messages
Elise Karinshak, Xun Liu, Joon Sung Park, et al.
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW1, pp. 1-29
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Using large language models in psychology
Dorottya Demszky, Diyi Yang, David S. Yeager, et al.
Nature Reviews Psychology (2023)
Closed Access | Times Cited: 137
The potential of generative AI for personalized persuasion at scale
Sandra Matz, Jacob D. Teeny, Sumer S. Vaid, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 55
Artificial intelligence for health message generation: an empirical study using a large language model (LLM) and prompt engineering
Sue Lim, Ralf Schmälzle
Frontiers in Communication (2023) Vol. 8
Open Access | Times Cited: 43
Can Generative AI improve social science?
Christopher A. Bail
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 21
Open Access | Times Cited: 43
Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications
Khadijeh Moulaei, Atiye Yadegari, Mahdi Baharestani, et al.
International Journal of Medical Informatics (2024) Vol. 188, pp. 105474-105474
Closed Access | Times Cited: 36
Durably reducing conspiracy beliefs through dialogues with AI
Thomas H. Costello, Gordon Pennycook, David G. Rand
Science (2024) Vol. 385, Iss. 6714
Open Access | Times Cited: 29
Combating misinformation in the age of LLMs: Opportunities and challenges
Canyu Chen, Kai Shu
AI Magazine (2024) Vol. 45, Iss. 3, pp. 354-368
Open Access | Times Cited: 22
On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial
Francesco Salvi, Manoel Horta Ribeiro, Riccardo Gallotti, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 17
Generative AI for medical research
Jessica Morley, Nicholas DeVito, Joe Zhang
BMJ (2023), pp. p1551-p1551
Closed Access | Times Cited: 30
The Potential of Generative AI for Personalized Persuasion at Scale
Sandra Matz, Jake Teeny, Sumer S. Vaid, et al.
(2023)
Open Access | Times Cited: 22
Durably reducing conspiracy beliefs through dialogues with AI
Thomas H. Costello, Gordon Pennycook, David G. Rand
(2024)
Open Access | Times Cited: 13
Evaluating the persuasive influence of political microtargeting with large language models
Kobi Hackenburg, Helen Margetts
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 24
Open Access | Times Cited: 13
When combinations of humans and AI are useful: A systematic review and meta-analysis
Michelle Vaccaro, Abdullah Almaatouq, Thomas W. Malone
Nature Human Behaviour (2024)
Open Access | Times Cited: 12
Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking
Nikhil Sharma, Q. Vera Liao, Ziang Xiao
(2024), pp. 1-17
Open Access | Times Cited: 7
Developing Personalized Marketing Service Using Generative AI
Gun Ho Lee, Kyoung Jun Lee, Baek Jeong, et al.
IEEE Access (2024) Vol. 12, pp. 22394-22402
Open Access | Times Cited: 6
Generative AI in innovation and marketing processes: A roadmap of research opportunities
Paola Cillo, Gaia Rubera
Journal of the Academy of Marketing Science (2024)
Open Access | Times Cited: 6
LLMs and Generative Agent-Based Models for Complex Systems Research
Yikang Lu, Alberto Aleta, Chunpeng Du, et al.
Physics of Life Reviews (2024) Vol. 51, pp. 283-293
Open Access | Times Cited: 6
Towards AI-Driven Healthcare: Systematic Optimization, Linguistic Analysis, and Clinicians’ Evaluation of Large Language Models for Smoking Cessation Interventions
Paul P. Calle, Ruosi Shao, Yunlong Liu, et al.
(2024), pp. 1-16
Open Access | Times Cited: 5
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis
Huizi Yu, Lizhou Fan, Lingyao Li, et al.
Journal of Healthcare Informatics Research (2024) Vol. 8, Iss. 4, pp. 658-711
Closed Access | Times Cited: 5
Visible Sources and Invisible Risks: Exploring the Impact of Ai Disclosure on Perceived Credibility of Ai-Generated Content
Lin Teng, Yi-Qing Zhang
(2025)
Closed Access
The origin of public concerns over AI supercharging misinformation in the 2024 U.S. presidential election
Harry Yaojun Yan, Garrett Morrow, Kai‐Cheng Yang, et al.
(2025)
Open Access
Comparing AI and human-generated health messages in an Arabic cultural context
Syed Ali Hussain, Ralf Schmälzle, Sue Lim, et al.
Global Health Action (2025) Vol. 18, Iss. 1
Open Access
Natural language processing for social science research: A comprehensive review
Yuxin Hou, Junming Huang
Chinese Journal of Sociology (2025)
Closed Access
Scaling language model size yields diminishing returns for single-message political persuasion
Kobi Hackenburg, Ben M Tappin, Paul Röttger, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 10
Open Access
Human-Centred Design Meets AI-Driven Algorithms: Comparative Analysis of Political Campaign Branding in the Harris–Trump Presidential Campaigns
Hedda Martina Šola, Fayyaz Hussain Qureshi, Sarwar Khawaja
Informatics (2025) Vol. 12, Iss. 1, pp. 30-30
Open Access
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