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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:

Diminished diversity-of-thought in a standard large language model
Peter S. Park, Philipp Schoenegger, Chongyang Zhu
Behavior Research Methods (2024) Vol. 56, Iss. 6, pp. 5754-5770
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Using large language models to generate silicon samples in consumer and marketing research: Challenges, opportunities, and guidelines
Marko Sarstedt, Susanne Adler, Lea Rau, et al.
Psychology and Marketing (2024) Vol. 41, Iss. 6, pp. 1254-1270
Open Access | Times Cited: 15
Large language models that replace human participants can harmfully misportray and flatten identity groups
Angelina Wang, Jamie Morgenstern, John P. Dickerson
Nature Machine Intelligence (2025)
Closed Access | Times Cited: 1
A Manager and an AI Walk into a Bar: Does ChatGPT Make Biased Decisions Like We Do?
Yang Chen, Meena Andiappan, Tracy A. Jenkin, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 34
Exploring the psychology of LLMs’ moral and legal reasoning
Guilherme Almeida, José Luiz Nunes, Neele Engelmann, et al.
Artificial Intelligence (2024) Vol. 333, pp. 104145-104145
Open Access | Times Cited: 11
The political preferences of LLMs
David Rozado
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0306621-e0306621
Open Access | Times Cited: 10
Studying and improving reasoning in humans and machines
Nicolas Yax, Hernán Anlló, Stefano Palminteri
Communications Psychology (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 9
Perils and opportunities in using large language models in psychological research
Suhaib Abdurahman, Mohammad Atari, Farzan Karimi-Malekabadi, et al.
PNAS Nexus (2024) Vol. 3, Iss. 7
Open Access | Times Cited: 9
A Manager and an AI Walk into a Bar: Does ChatGPT Make Biased Decisions Like We Do?
Yang Chen, Samuel N. Kirshner, Антон Овчінніков, et al.
Manufacturing & Service Operations Management (2025)
Closed Access
Beyond WEIRD: Can synthetic survey participants substitute for humans in global policy research?
Pujen Shrestha, Dario Krpan, Fatima Koaik, et al.
Behavioral Science & Policy (2025)
Closed Access
Evidence of conceptual mastery in the application of rules by Large Language Models
José Luiz Nunes, Guilherme Almeida, Brian Flanagan
(2025)
Closed Access
Matching GPT-simulated populations with real ones in psychological studies - the case of the EPQR-A personality test
Guilherme Costa Ferreira, Jacopo Amidei, Rubén Nieto, et al.
ACM Transactions on Computing for Healthcare (2025)
Closed Access
Large Language Models Amplify Human Biases in Moral Decision-Making
Vanessa Cheung, Maximilian Maier, Falk Lieder
(2024)
Open Access | Times Cited: 3
Wisdom of the silicon crowd: LLM ensemble prediction capabilities rival human crowd accuracy
Philipp Schoenegger, Indre Tuminauskaite, Peter S. Park, et al.
Science Advances (2024) Vol. 10, Iss. 45
Open Access | Times Cited: 3
Large language models: a survey of their development, capabilities, and applications
Yadagiri Annepaka, Partha Pakray
Knowledge and Information Systems (2024)
Closed Access | Times Cited: 3
Perils and Opportunities in Using Large Language Models in Psychological Research
Suhaib Abdurahman, Mohammad Atari, Farzan Karimi-Malekabadi, et al.
(2023)
Open Access | Times Cited: 7
Perils and Opportunities in Using Large Language Models in Psychological Research
Suhaib Abdurahman, Mohammad Atari, Farzan Karimi-Malekabadi, et al.
(2023)
Open Access | Times Cited: 6
Large language models complement human participants through role simulation
Zhenyang Lin
(2024)
Open Access
Davinci the Dualist: The Mind–Body Divide in Large Language Models and in Human Learners
Iris Berent, Alexzander Sansiveri
Open Mind (2024) Vol. 8, pp. 84-101
Open Access
The Power of Atmosphere: LLM-Based Social Task Generation of Robots
Hanna Lee, Hyo Jeong Lym, Da-Young Kim, et al.
(2024), pp. 532-538
Closed Access
The use of synthetic data in tourism
Giampaolo Viglia, Susanne Adler, Caroline Lancelot Miltgen, et al.
Annals of Tourism Research (2024) Vol. 108, pp. 103819-103819
Open Access
The Mixed Subjects Design: Treating Large Language Models as (Potentially) Informative Observations
David Broska, Michael Howes, Austin van Loon
(2024)
Open Access
GPT-4V shows human-like social perceptual capabilities at phenomenological and neural levels
Severi Santavirta, Yuhang Wu, Lauri Nummenmaa
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The Personality of the Intelligent Cockpit? Exploring the Personality Traits of In-Vehicle LLMs with Psychometrics
Q. Lin, Zhipeng Hu, Jun Ma
Information (2024) Vol. 15, Iss. 11, pp. 679-679
Open Access
Enhancing qualitative research in psychology with large language models: a methodological exploration and examples of simulations
Evgeny Smirnov
Qualitative Research in Psychology (2024), pp. 1-31
Closed Access
ChatGPT and CLT: Investigating Differences in Multimodal Processing
Michael Cahalane, Samuel N. Kirshner
Journal of Economy and Technology (2024)
Open Access
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