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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:

Transmission Versus Truth, Imitation Versus Innovation: What Children Can Do That Large Language and Language-and-Vision Models Cannot (Yet)
Eunice Yiu, Eliza Kosoy, Alison Gopnik
Perspectives on Psychological Science (2023) Vol. 19, Iss. 5, pp. 874-883
Open Access | Times Cited: 24

Showing 24 citing articles:

Dissociating language and thought in large language models
Kyle Mahowald, Anna A. Ivanova, Idan Blank, et al.
Trends in Cognitive Sciences (2024) Vol. 28, Iss. 6, pp. 517-540
Open Access | Times Cited: 112
Testing theory of mind in large language models and humans
James W. A. Strachan, Dalila Albergo, Giulia Borghini, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 7, pp. 1285-1295
Open Access | Times Cited: 44
Artificial intelligence and consumer behavior: From predictive to generative AI
Erik Hermann, Stefano Puntoni
Journal of Business Research (2024) Vol. 180, pp. 114720-114720
Closed Access | Times Cited: 29
The development of human causal learning and reasoning
Mariel K. Goddu, Alison Gopnik
Nature Reviews Psychology (2024) Vol. 3, Iss. 5, pp. 319-339
Closed Access | Times Cited: 23
Theory Is All You Need: AI, Human Cognition, and Decision Making
Teppo Felin, Matthias Holweg
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 9
Using proprietary language models in academic research requires explicit justification
Alexis Palmer, Noah A. Smith, Arthur Spirling
Nature Computational Science (2023) Vol. 4, Iss. 1, pp. 2-3
Open Access | Times Cited: 16
Caution Ahead: Numerical Reasoning and Look-ahead Bias in AI Models
Bernard C. Levy
(2025)
Closed Access
On trusting chatbots
P. D. Magnus
Episteme (2025), pp. 1-11
Closed Access
Large AI models are cultural and social technologies
Henry Farrell, Alison Gopnik, Cosma Rohilla Shalizi, et al.
Science (2025) Vol. 387, Iss. 6739, pp. 1153-1156
Closed Access
Theory Is All You Need: AI, Human Cognition, and Causal Reasoning
Teppo Felin, Matthias Holweg
Strategy Science (2024)
Closed Access | Times Cited: 3
Editorial for the Special Issue on Algorithms in Our Lives
Sudeep Bhatia, Mirta Galešić, Melanie Mitchell
Perspectives on Psychological Science (2024) Vol. 19, Iss. 5, pp. 707-710
Open Access | Times Cited: 2
Getting it right: the limits of fine-tuning large language models
Jacob Browning
Ethics and Information Technology (2024) Vol. 26, Iss. 2
Closed Access | Times Cited: 1
Large language model answers medical questions about standard pathology reports
Anqi Wang, Jieli Zhou, Peng Zhang, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Collaborative Sense-Making? A Systemic Perspective on Llms’ Uncertainty Communication Modalities Within the Ethically Fraught Domains of Healthcare, Justice and Education
Sylvie Delacroix
SSRN Electronic Journal (2024)
Closed Access
Authors versus AI: Approaches and Challenges
Svitlana Vodolazka, Tetiana Krainikova, Olena Ryzhko, et al.
Current Issues of Mass Communication (2024), Iss. 35, pp. 73-89
Open Access
Examining predictive coding accounts of typical and autistic neurocognitive development
Hannah Rapaport, Paul F. Sowman
Neuroscience & Biobehavioral Reviews (2024) Vol. 167, pp. 105905-105905
Closed Access
Self-labeling in multivariate causality and quantification for adaptive machine learning
Yutian Ren, Aaron Haohua Yen, G.P. Li
Knowledge-Based Systems (2024) Vol. 305, pp. 112595-112595
Open Access
Insights into Moral Reasoning Capabilities of AI: A Comparative Study between Humans and Large Language Models.
S. D. Bajpai, Ahmed Sameer, Rabiya Fatima
Research Square (Research Square) (2024)
Closed Access
Decolonizing LLMs: An Ethnographic Framework for AI in African Contexts
LINDSEY DEWITT PRAT, Olivia Lucas, CHRISTOPHER A. GOLIAS, et al.
Ethnographic Praxis in Industry Conference Proceedings (2024) Vol. 2024, Iss. 1, pp. 46-85
Open Access
Dali or DALL-E? Popper or …? The Implications of Emerging Generative AI on the Future of Creative Work
Sandra Barbosu, Pooyan Khashabi
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 1
Deep Intelligence: Fostering Human Deep Learning, Amplifying Our Intelligence, and Supporting a Human Rennaisance
Stefan Bauschard, Sabba Quidwai
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 1
Large Language Models' Understanding of Math: Source Criticism and Extrapolation
Roozbeh Yousefzadeh, Xuenan Cao
Research Square (Research Square) (2023)
Open Access
Interactive Causality-Enabled Adaptive Machine Learning in Cyber-Physical Systems
Yutian Ren, Aaron Haohua Yen, Salaar Saraj, et al.
Advances in computational intelligence and robotics book series (2023), pp. 179-206
Closed Access
Limitations and Prospects for the Development of Artificial Intelligence: Philosophical Analysis
S. Bondar
Актуальні проблеми філософії та соціології (2023), Iss. 44, pp. 10-15
Open Access
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