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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:

The graphical brain: Belief propagation and active inference
Karl Friston, Thomas Parr, Bert de Vries
Network Neuroscience (2017) Vol. 1, Iss. 4, pp. 381-414
Open Access | Times Cited: 384

Showing 1-25 of 384 citing articles:

Communication dynamics in complex brain networks
Andrea Avena‐Koenigsberger, Bratislav Mišić, Olaf Sporns
Nature reviews. Neuroscience (2017) Vol. 19, Iss. 1, pp. 17-33
Closed Access | Times Cited: 814
The Markov blankets of life: autonomy, active inference and the free energy principle
Michael D. Kirchhoff, Thomas Parr, Ensor Rafael Palacios, et al.
Journal of The Royal Society Interface (2018) Vol. 15, Iss. 138, pp. 20170792-20170792
Open Access | Times Cited: 384
Cellular Mechanisms of Conscious Processing
Jaan Aru, Mototaka Suzuki, Matthew E. Larkum
Trends in Cognitive Sciences (2020) Vol. 24, Iss. 10, pp. 814-825
Open Access | Times Cited: 261
Uncertainty, epistemics and active inference
Thomas Parr, Karl Friston
Journal of The Royal Society Interface (2017) Vol. 14, Iss. 136, pp. 20170376-20170376
Open Access | Times Cited: 227
A free energy principle for a particular physics
Karl Friston
arXiv (Cornell University) (2019)
Open Access | Times Cited: 227
Active inference on discrete state-spaces: A synthesis
Lancelot Da Costa, Thomas Parr, Noor Sajid, et al.
Journal of Mathematical Psychology (2020) Vol. 99, pp. 102447-102447
Open Access | Times Cited: 222
A tale of two densities: active inference is enactive inference
Maxwell J. D. Ramstead, Michael D. Kirchhoff, Karl Friston
Adaptive Behavior (2019) Vol. 28, Iss. 4, pp. 225-239
Open Access | Times Cited: 202
The Anatomy of Inference: Generative Models and Brain Structure
Thomas Parr, Karl Friston
Frontiers in Computational Neuroscience (2018) Vol. 12
Open Access | Times Cited: 188
New directions in predictive processing
Jakob Hohwy
Mind & Language (2020) Vol. 35, Iss. 2, pp. 209-223
Closed Access | Times Cited: 172
Generalised free energy and active inference
Thomas Parr, Karl Friston
Biological Cybernetics (2019) Vol. 113, Iss. 5-6, pp. 495-513
Open Access | Times Cited: 166
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference
Casper Hesp, Ryan Smith, Thomas Parr, et al.
Neural Computation (2020) Vol. 33, Iss. 2, pp. 398-446
Open Access | Times Cited: 166
A step-by-step tutorial on active inference and its application to empirical data
Ryan Smith, Karl Friston, Christopher J. Whyte
Journal of Mathematical Psychology (2022) Vol. 107, pp. 102632-102632
Open Access | Times Cited: 160
A Bayesian computational model reveals a failure to adapt interoceptive precision estimates across depression, anxiety, eating, and substance use disorders
Ryan Smith, Rayus Kuplicki, Justin S. Feinstein, et al.
PLoS Computational Biology (2020) Vol. 16, Iss. 12, pp. e1008484-e1008484
Open Access | Times Cited: 158
Active Inference: Demystified and Compared
Noor Sajid, Philip Ball, Thomas Parr, et al.
Neural Computation (2021) Vol. 33, Iss. 3, pp. 674-712
Open Access | Times Cited: 150
Multiscale integration: beyond internalism and externalism
Maxwell J. D. Ramstead, Michael D. Kirchhoff, Axel Constant, et al.
Synthese (2019) Vol. 198, Iss. S1, pp. 41-70
Open Access | Times Cited: 146
Recent advances in the application of predictive coding and active inference models within clinical neuroscience
Ryan Smith, Paul B. Badcock, Karl Friston
Psychiatry and Clinical Neurosciences (2020) Vol. 75, Iss. 1, pp. 3-13
Open Access | Times Cited: 140
In the Body’s Eye: The computational anatomy of interoceptive inference
Micah Allen, Andrew R. Levy, Thomas Parr, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010490-e1010490
Open Access | Times Cited: 102
The free energy principle made simpler but not too simple
Karl Friston, Lancelot Da Costa, Noor Sajid, et al.
Physics Reports (2023) Vol. 1024, pp. 1-29
Open Access | Times Cited: 86
Computational psychiatry: from synapses to sentience
Karl Friston
Molecular Psychiatry (2022) Vol. 28, Iss. 1, pp. 256-268
Open Access | Times Cited: 78
Simulating homeostatic, allostatic and goal-directed forms of interoceptive control using active inference
Alexander Tschantz, Laura Barca, Domenico Maisto, et al.
Biological Psychology (2022) Vol. 169, pp. 108266-108266
Open Access | Times Cited: 71
Path integrals, particular kinds, and strange things
Karl Friston, Lancelot Da Costa, Dalton A R Sakthivadivel, et al.
Physics of Life Reviews (2023) Vol. 47, pp. 35-62
Open Access | Times Cited: 70
Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception
Achim Schilling, William Sedley, Richard Gerum, et al.
Brain (2023) Vol. 146, Iss. 12, pp. 4809-4825
Open Access | Times Cited: 45
Active inference as a theory of sentient behavior
Giovanni Pezzulo, Thomas Parr, Karl Friston
Biological Psychology (2024) Vol. 186, pp. 108741-108741
Open Access | Times Cited: 22
‘Seeing the Dark’: Grounding Phenomenal Transparency and Opacity in Precision Estimation for Active Inference
Jakub Limanowski, Karl Friston
Frontiers in Psychology (2018) Vol. 9
Open Access | Times Cited: 161
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