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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:

Empiricism without magic: transformational abstraction in deep convolutional neural networks
Cameron Buckner
Synthese (2018) Vol. 195, Iss. 12, pp. 5339-5372
Open Access | Times Cited: 134

Showing 1-25 of 134 citing articles:

Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence
Carlos Zednik
Philosophy & Technology (2019) Vol. 34, Iss. 2, pp. 265-288
Closed Access | Times Cited: 258
Understanding from Machine Learning Models
Emily Sullivan
The British Journal for the Philosophy of Science (2019) Vol. 73, Iss. 1, pp. 109-133
Open Access | Times Cited: 143
Deep learning: A philosophical introduction
Cameron Buckner
Philosophy Compass (2019) Vol. 14, Iss. 10
Open Access | Times Cited: 132
Performance vs. competence in human–machine comparisons
Chaz Firestone
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 43, pp. 26562-26571
Open Access | Times Cited: 124
Neurocognitive Mechanisms
Gualtiero Piccinini
Oxford University Press eBooks (2020)
Closed Access | Times Cited: 104
The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence
David Watson
Minds and Machines (2019) Vol. 29, Iss. 3, pp. 417-440
Open Access | Times Cited: 84
Two Dimensions of Opacity and the Deep Learning Predicament
Florian J. Boge
Minds and Machines (2021) Vol. 32, Iss. 1, pp. 43-75
Open Access | Times Cited: 58
Situated Neural Representations: Solving the Problems of Content
Gualtiero Piccinini
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 49
Beyond generalization: a theory of robustness in machine learning
Timo Freiesleben, Thomas Grote
Synthese (2023) Vol. 202, Iss. 4
Open Access | Times Cited: 36
Words have a weight: language as a source of inner grounding and flexibility in abstract concepts
Guy Dove, Laura Barca, Luca Tummolini, et al.
Psychological Research (2020) Vol. 86, Iss. 8, pp. 2451-2467
Closed Access | Times Cited: 60
Understanding adversarial examples requires a theory of artefacts for deep learning
Cameron Buckner
Nature Machine Intelligence (2020) Vol. 2, Iss. 12, pp. 731-736
Closed Access | Times Cited: 58
Deep limitations? Examining expert disagreement over deep learning
Carla Zoe Cremer
Progress in Artificial Intelligence (2021) Vol. 10, Iss. 4, pp. 449-464
Open Access | Times Cited: 51
On the Philosophy of Unsupervised Learning
David Watson
Philosophy & Technology (2023) Vol. 36, Iss. 2
Open Access | Times Cited: 21
From Deep Learning to Rational Machines
Cameron Buckner
Oxford University Press eBooks (2023)
Closed Access | Times Cited: 19
The Brain Abstracted
M. Chirimuuta
The MIT Press eBooks (2024)
Open Access | Times Cited: 7
The physics of representation
Russell A. Poldrack
Synthese (2020) Vol. 199, Iss. 1-2, pp. 1307-1325
Open Access | Times Cited: 47
Black Boxes or Unflattering Mirrors? Comparative Bias in the Science of Machine Behaviour
Cameron Buckner
The British Journal for the Philosophy of Science (2021) Vol. 74, Iss. 3, pp. 681-712
Closed Access | Times Cited: 35
Making AI Intelligible
Herman Cappelen, Josh Dever
Oxford University Press eBooks (2021)
Open Access | Times Cited: 34
The Importance of Understanding Deep Learning
Tim Räz, Claus Beisbart
Erkenntnis (2022) Vol. 89, Iss. 5, pp. 1823-1840
Open Access | Times Cited: 25
Insightful artificial intelligence
Marta Halina
Mind & Language (2021) Vol. 36, Iss. 2, pp. 315-329
Open Access | Times Cited: 28
Deep learning models and the limits of explainable artificial intelligence
Jens Christian Bjerring, Jakob Thrane Mainz, Lauritz Aastrup Munch
Asian Journal of Philosophy (2025) Vol. 4, Iss. 1
Open Access
Learning incommensurate concepts
Hayley Clatterbuck, Hunter Gentry
Synthese (2025) Vol. 205, Iss. 3
Closed Access
Transsubjectivity: Artificial Intelligence and the Extension of the Social Lifeworld
Jörg Noller
Technikzukünfte, Wissenschaft und Gesellschaft (2025), pp. 247-261
Closed Access
From Implausible Artificial Neurons to Idealized Cognitive Models: Rebooting Philosophy of Artificial Intelligence
Catherine Stinson
Philosophy of Science (2020) Vol. 87, Iss. 4, pp. 590-611
Open Access | Times Cited: 28
Biological Cognition
Bryce Huebner, Jay Schulkin
(2022)
Closed Access | Times Cited: 18
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