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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:

Network architectures supporting learnability
Perry Zurn, Danielle S. Bassett
Philosophical Transactions of the Royal Society B Biological Sciences (2020) Vol. 375, Iss. 1796, pp. 20190323-20190323
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Semantic Speech Networks Linked to Formal Thought Disorder in Early Psychosis
Caroline Nettekoven, Kelly Diederen, Oscar Giles, et al.
Schizophrenia Bulletin (2023) Vol. 49, Iss. Supplement_2, pp. S142-S152
Open Access | Times Cited: 12
Generalized Simultaneous Localization and Mapping (G-SLAM) as unification framework for natural and artificial intelligences: towards reverse engineering the hippocampal/entorhinal system and principles of high-level cognition
Adam Safron, Ozan Çatal, Tim Verbelen
Frontiers in Systems Neuroscience (2022) Vol. 16
Open Access | Times Cited: 18
Unraveling Urban Network Dynamics with Complex Network Modeling: a Case Study of Chengdu, China
Xiang Zou, Peng Hu, Jianping Zhang, et al.
Journal of the Knowledge Economy (2024)
Closed Access | Times Cited: 3
Architecture and evolution of semantic networks in mathematics texts
Nicolas Christianson, Ann S. Blevins, Danielle S. Bassett
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2020) Vol. 476, Iss. 2239, pp. 20190741-20190741
Open Access | Times Cited: 26
Emergence in Context
Robert C. Bishop, Michael Silberstein, Mark Pexton
Oxford University Press eBooks (2022)
Closed Access | Times Cited: 14
Network hubs affect evolvability
Jana Helsen, Jens Frickel, Rob Jelier, et al.
PLoS Biology (2019) Vol. 17, Iss. 1, pp. e3000111-e3000111
Open Access | Times Cited: 23
Distributed and Democratized Learning: Philosophy and Research Challenges
Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, et al.
IEEE Computational Intelligence Magazine (2021) Vol. 16, Iss. 1, pp. 49-62
Open Access | Times Cited: 19
Generalized Simultaneous Localization and Mapping (G-SLAM) as unification framework for natural and artificial intelligences: towards reverse engineering the hippocampal/entorhinal system and principles of high-level cognition
Adam Safron, Ozan Çatal, Tim Verbelen
(2021)
Open Access | Times Cited: 18
Learning the Architectural Features That Predict Functional Similarity of Neural Networks
Adam Haber, Elad Schneidman
Physical Review X (2022) Vol. 12, Iss. 2
Open Access | Times Cited: 13
Emergence and reconfiguration of modular structure for artificial neural networks during continual familiarity detection
Shi Gu, Marcelo G. Mattar, Huajin Tang, et al.
Science Advances (2024) Vol. 10, Iss. 30
Open Access | Times Cited: 2
The growth and form of knowledge networks by kinesthetic curiosity
Dale Zhou, David M. Lydon‐Staley, Perry Zurn, et al.
Current Opinion in Behavioral Sciences (2020) Vol. 35, pp. 125-134
Open Access | Times Cited: 15
The Value of Statistical Learning to Cognitive Network Science
Elisabeth A. Karuza
Topics in Cognitive Science (2021) Vol. 14, Iss. 1, pp. 78-92
Open Access | Times Cited: 11
From Uncertainty to Insight: An Autocatalytic Framework
Liane Gabora, Mike Steel
Creativity theory and action in education (2022), pp. 125-156
Closed Access | Times Cited: 6
Unifying the essential concepts of biological networks: biological insights and philosophical foundations
Daniel Kostić, Claus C. Hilgetag, Marc Tittgemeyer
Philosophical Transactions of the Royal Society B Biological Sciences (2020) Vol. 375, Iss. 1796, pp. 20190314-20190314
Open Access | Times Cited: 7
Context is King: Contextual Emergence in Network Neuroscience, Cognitive Science, and Psychology
Michael Silberstein
˜The œfrontiers collection (2022), pp. 597-640
Closed Access | Times Cited: 4
Validation of the I- and D-type Epistemic Curiosity scale among Young Chinese Children and Implications on Early Curiosity Nurture
Shuang Tang, Tianwei Xu, Lingyan Jin, et al.
Research Square (Research Square) (2024)
Open Access
Validation of the I- and D-type epistemic curiosity scale among young Chinese children and implications on early curiosity nurture
Shuang Tang, Tianwei Xu, Lingyan Jin, et al.
BMC Psychology (2024) Vol. 12, Iss. 1
Open Access
Classical and Quantum Physics
Robert C. Bishop, Michael Silberstein, Mark Pexton
Oxford University Press eBooks (2022), pp. 100-157
Closed Access | Times Cited: 2
Distributed and Democratized Learning: Philosophy and Research Challenges
Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 2
Learning the architectural features that predict functional similarity of neural networks
Adam Haber, Elad Schneidman
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 2
On the Dual Nature of Adoption Processes in Complex Networks
Iacopo Iacopini, Vito Latora
Frontiers in Physics (2021) Vol. 9
Open Access | Times Cited: 2
The growth and form of knowledge networks by kinesthetic curiosity
Dale Zhou, David M. Lydon‐Staley, Perry Zurn, et al.
(2020)
Open Access | Times Cited: 1
Edgework
Perry Zurn, Dale Zhou, David M. Lydon‐Staley, et al.
Cambridge University Press eBooks (2022), pp. 259-278
Closed Access | Times Cited: 1
Edgework: Viewing curiosity as fundamentally relational
Perry Zurn, Dale Zhou, David M. Lydon‐Staley, et al.
(2021)
Open Access | Times Cited: 1
From Uncertainty to Insight: An Autocatalytic Framework
Liane Gabora, Mike Steel
(2020)
Closed Access
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