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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:

Naïve and Robust: Class‐Conditional Independence in Human Classification Learning
Jana Bianca Jarecki, Björn Meder, Jonathan D. Nelson
Cognitive Science (2017) Vol. 42, Iss. 1, pp. 4-42
Open Access | Times Cited: 13

Showing 13 citing articles:

Change Detection Using High Resolution Remote Sensing Images Based on Active Learning and Markov Random Fields
Huai Yu, Wen Yang, Guang Hua, et al.
Remote Sensing (2017) Vol. 9, Iss. 12, pp. 1233-1233
Open Access | Times Cited: 38
Asking better questions: How presentation formats influence information search.
Charley M. Wu, Björn Meder, Flavia Filimon, et al.
Journal of Experimental Psychology Learning Memory and Cognition (2017) Vol. 43, Iss. 8, pp. 1274-1297
Closed Access | Times Cited: 34
Disentangling Perceptual and Process-Related Sources of Behavioral Variability in Categorization
Florian Ismael Seitz, Jana Bianca Jarecki, Jörg Rieskamp, et al.
Perspectives on Psychological Science (2025)
Closed Access
Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners
Wai Keen Vong, Andrew Hendrickson, Danielle Navarro, et al.
Cognitive Science (2019) Vol. 43, Iss. 3
Open Access | Times Cited: 14
Towards a theory of heuristic and optimal planning for sequential information search
Jonathan D. Nelson, Björn Meder, Matt Jones
(2018)
Open Access | Times Cited: 14
Testing three coping strategies for time pressure in categorizations and similarity judgments
Florian Ismael Seitz, Bettina von Helversen, Rebecca Albrecht, et al.
Cognition (2022) Vol. 233, pp. 105358-105358
Open Access | Times Cited: 7
A human learning optimization algorithm with reasoning learning
Pinggai Zhang, Jiaojie Du, Ling Wang, et al.
Applied Soft Computing (2022) Vol. 122, pp. 108816-108816
Closed Access | Times Cited: 6
Perceptual Similarity Mostly Ignores Within-Category Feature Distributions: Evidence From Computational Modeling of Human Categorizations
Florian Ismael Seitz, Jana Bianca Jarecki, Jörg Rieskamp
(2023)
Open Access | Times Cited: 3
Do additional features help or hurt category learning? The curse of dimensionality in human learners
Wai Keen Vong, Andrew Hendrickson, Danielle Navarro, et al.
(2018)
Open Access | Times Cited: 3
Machine learning for predicting cognitive deficits using auditory and demographic factors
Christopher E. Niemczak, Basile Montagnese, Joshua Levy, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0302902-e0302902
Open Access
The influence of sample size on preferences from experience
Janine Christin Hoffart, Jana Bianca Jarecki, Gilles Dutilh, et al.
Quarterly Journal of Experimental Psychology (2021) Vol. 75, Iss. 1, pp. 1-17
Closed Access | Times Cited: 3
The likelihood difference heuristic and binary test selection given situation-specific utilities.
Jonathan D. Nelson, Christine Rosenauer, Vincenza Crupi, et al.
Decision (2022) Vol. 9, Iss. 3, pp. 285-319
Open Access | Times Cited: 2
The Likelihood Difference Heuristic and Binary Test Selection Given Situation-Specific Utilities
Jonathan D. Nelson, Christine Rosenauer, Vincenza Crupi, et al.
(2021)
Open Access
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