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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:

Neurocomputational mechanisms underlying emotional awareness: Insights afforded by deep active inference and their potential clinical relevance
Ryan Smith, Richard D. Lane, Thomas Parr, et al.
Neuroscience & Biobehavioral Reviews (2019) Vol. 107, pp. 473-491
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

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
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
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
Simulating Emotions: An Active Inference Model of Emotional State Inference and Emotion Concept Learning
Ryan Smith, Thomas Parr, Karl Friston
Frontiers in Psychology (2019) Vol. 10
Open Access | Times Cited: 105
Towards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference
Lars Sandved-Smith, Casper Hesp, Jérémie Mattout, et al.
Neuroscience of Consciousness (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 90
Levels of Emotional Awareness: Theory and Measurement of a Socio-Emotional Skill
Richard D. Lane, Ryan Smith
Journal of Intelligence (2021) Vol. 9, Iss. 3, pp. 42-42
Open Access | Times Cited: 87
An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case
Ryan Smith, Philipp Schwartenbeck, Thomas Parr, et al.
Frontiers in Computational Neuroscience (2020) Vol. 14
Open Access | Times Cited: 78
Greater decision uncertainty characterizes a transdiagnostic patient sample during approach-avoidance conflict: a computational modelling approach
Ryan Smith, Namik Kirlić, Jennifer L. Stewart, et al.
Journal of Psychiatry and Neuroscience (2021) Vol. 46, Iss. 1, pp. E74-E87
Open Access | Times Cited: 70
Alexithymia
Jeremy Hogeveen, Jordan Grafman
Handbook of clinical neurology (2021), pp. 47-62
Open Access | Times Cited: 66
From Generative Models to Generative Passages: A Computational Approach to (Neuro) Phenomenology
Maxwell J. D. Ramstead, Anil K. Seth, Casper Hesp, et al.
Review of Philosophy and Psychology (2022) Vol. 13, Iss. 4, pp. 829-857
Open Access | Times Cited: 51
I overthink—Therefore I am not: An active inference account of altered sense of self and agency in depersonalisation disorder
Anna Ciaunica, Anil K. Seth, Jakub Limanowski, et al.
Consciousness and Cognition (2022) Vol. 101, pp. 103320-103320
Open Access | Times Cited: 51
Stress and its sequelae: An active inference account of the etiological pathway from allostatic overload to depression
Irene Arnaldo, Andrew W. Corcoran, Karl Friston, et al.
Neuroscience & Biobehavioral Reviews (2022) Vol. 135, pp. 104590-104590
Open Access | Times Cited: 46
The empirical status of predictive coding and active inference
Rowan Hodson, Marishka Mehta, Ryan Smith
Neuroscience & Biobehavioral Reviews (2023) Vol. 157, pp. 105473-105473
Closed Access | Times Cited: 29
Active inference, stressors, and psychological trauma: A neuroethological model of (mal)adaptive explore-exploit dynamics in ecological context
Adam Linson, Thomas Parr, Karl Friston
Behavioural Brain Research (2019) Vol. 380, pp. 112421-112421
Open Access | Times Cited: 60
The predictive global neuronal workspace: A formal active inference model of visual consciousness
Christopher J. Whyte, Ryan Smith
Progress in Neurobiology (2020) Vol. 199, pp. 101918-101918
Open Access | Times Cited: 60
Gut inference: A computational modelling approach
Ryan Smith, Ahmad Mayeli, Samuel Taylor, et al.
Biological Psychology (2021) Vol. 164, pp. 108152-108152
Open Access | Times Cited: 54
How childhood maltreatment alters perception and cognition – the predictive processing account of borderline personality disorder
Philipp Herzog, Tobias Kube, Eva Faßbinder
Psychological Medicine (2022) Vol. 52, Iss. 14, pp. 2899-2916
Open Access | Times Cited: 29
Active inference models do not contradict folk psychology
Ryan Smith, Maxwell J. D. Ramstead, Alex Kiefer
Synthese (2022) Vol. 200, Iss. 2
Open Access | Times Cited: 28
An Introduction to Predictive Processing Models of Perception and Decision‐Making
Mark Sprevak, Ryan Smith
Topics in Cognitive Science (2023)
Open Access | Times Cited: 21
An Investigation of the Free Energy Principle for Emotion Recognition
Daphne Demekas, Thomas Parr, Karl Friston
Frontiers in Computational Neuroscience (2020) Vol. 14
Open Access | Times Cited: 41
The evolution and development of the uniquely human capacity for emotional awareness: A synthesis of comparative anatomical, cognitive, neurocomputational, and evolutionary psychological perspectives
Ryan Smith, Horst D. Steklis, Netzin G. Steklis, et al.
Biological Psychology (2020) Vol. 154, pp. 107925-107925
Closed Access | Times Cited: 40
A Step-by-Step Tutorial on Active Inference and its Application to Empirical Data
Ryan Smith, Karl Friston, Christopher J. Whyte
(2021)
Open Access | Times Cited: 37
Relative fluency (unfelt vs felt) in active inference
Denis Brouillet, Karl Friston
Consciousness and Cognition (2023) Vol. 115, pp. 103579-103579
Open Access | Times Cited: 15
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