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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:

Representation and Computation in Cognitive Models
Kenneth D. Forbus, Chen Liang, Irina Rabkina
Topics in Cognitive Science (2017) Vol. 9, Iss. 3, pp. 694-718
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

AI and the Future of Skills, Volume 1

Educational research and innovation (2021)
Open Access | Times Cited: 97
In praise of folly: flexible goals and human cognition
Junyi Chu, Joshua B. Tenenbaum, Laura Schulz
Trends in Cognitive Sciences (2024) Vol. 28, Iss. 7, pp. 628-642
Open Access | Times Cited: 4
Building Bridges between AI and Cognitive Psychology
Stephen K. Reed
AI Magazine (2019) Vol. 40, Iss. 2, pp. 17-28
Open Access | Times Cited: 35
Generative Artificial Intelligence and Assessment of Learning
Mehdi Kaddouri, Khalid Mhamdi, Abdelhafid Jabri, et al.
Advances in educational technologies and instructional design book series (2025), pp. 277-326
Closed Access
Analogy and Qualitative Representations in the Companion Cognitive Architecture
Kenneth D. Forbus, Thomas R. Hinrichs
AI Magazine (2017) Vol. 38, Iss. 4, pp. 34-42
Open Access | Times Cited: 24
Modeling misretrieval and feature substitution in agreement attraction: A computational evaluation
Dario Paape, Serine Avetisyan, Sol Lago, et al.
(2020)
Open Access | Times Cited: 20
Action Recognition From Skeleton Data via Analogical Generalization Over Qualitative Representations
Kezhen Chen, Kenneth D. Forbus
Proceedings of the AAAI Conference on Artificial Intelligence (2018) Vol. 32, Iss. 1
Open Access | Times Cited: 14
Modeling Misretrieval and Feature Substitution in Agreement Attraction: A Computational Evaluation
Dario Paape, Serine Avetisyan, Sol Lago, et al.
Cognitive Science (2021) Vol. 45, Iss. 8
Open Access | Times Cited: 11
Tackling Vision Language Tasks through Learning Inner Monologues
Diji Yang, Kezhen Chen, Jinmeng Rao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19350-19358
Open Access | Times Cited: 1
Difference of epistemic perspectives between scientists and the lay public: Observations from a public debate on Pu’er tea
Zhiqiang Hu
Cultures of Science (2024) Vol. 7, Iss. 3, pp. 222-226
Open Access | Times Cited: 1
Cognitive Skills You Need for the 21st Century
Stephen K. Reed
Oxford University Press eBooks (2020)
Closed Access | Times Cited: 10
In Praise of Folly: Flexible Goals and Human Cognition
Junyi Chu, Joshua B. Tenenbaum, Laura Schulz
(2023)
Open Access | Times Cited: 3
Gesturing standard deviation: Gestures undergraduate students use in describing their concepts of standard deviation
Fey Parrill, Alison McKim, Kimberly A. Grogan
The Journal of Mathematical Behavior (2018) Vol. 53, pp. 1-12
Closed Access | Times Cited: 7
Visuospatial Reasoning
Stephen K. Reed
Oxford University Press eBooks (2020), pp. 81-91
Closed Access | Times Cited: 7
The relational processing limits of classic and contemporary neural network models of language processing
Guillermo Puebla, Andrea E. Martin, Leonidas A. A. Doumas
Language Cognition and Neuroscience (2020) Vol. 36, Iss. 2, pp. 240-254
Open Access | Times Cited: 6
Parallel Distributed Processing
Ivan Vankov
Springer eBooks (2021), pp. 1-6
Closed Access | Times Cited: 6
Natural- to formal-language generation using Tensor Product Representations
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, et al.
(2019)
Closed Access | Times Cited: 4
Explainable AI
Stephen K. Reed
Oxford University Press eBooks (2020), pp. 170-179
Closed Access | Times Cited: 4
Parallel Distributed Processing
Ivan Vankov
Springer eBooks (2022), pp. 4945-4950
Closed Access | Times Cited: 3
Mapping Natural-language Problems to Formal-language Solutions Using Structured Neural Representations
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 3
Action
Stephen K. Reed
Oxford University Press eBooks (2020), pp. 15-26
Closed Access | Times Cited: 3
Taxonomy of cognitive abilities and measures for assessing artificial intelligence and robotics capabilities
Patrick C. Kyllonen
Educational research and innovation (2021)
Open Access | Times Cited: 3
The relational processing limits of classic and contemporary neural network models of language processing
Guillermo Puebla, Andrea E. Martin, Leonidas A. A. Doumas
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 1
How Does Current AI Stack Up Against Human Intelligence
Kenneth D. Forbus, Dedre Gentner, John E. Laird, et al.
Cognitive Science (2019), pp. 27-28
Closed Access | Times Cited: 1
Learning Inference Rules with Neural TP-Reasoner
Kezhen Chen, Qiuyuan Huang, Paul Smolensky, et al.
(2020)
Closed Access | Times Cited: 1
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