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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:

Aesthetic preference for art emerges from a weighted integration over hierarchically structured visual features in the brain
Kiyohito Iigaya, Sanghyun Yi, Iman A. Wahle, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Aesthetic preference for art can be predicted from a mixture of low- and high-level visual features
Kiyohito Iigaya, Sanghyun Yi, Iman A. Wahle, et al.
Nature Human Behaviour (2021) Vol. 5, Iss. 6, pp. 743-755
Open Access | Times Cited: 98
Why and How Should Cognitive Science Care about Aesthetics?
Eugen Wassiliwizky, Winfried Menninghaus
Trends in Cognitive Sciences (2021) Vol. 25, Iss. 6, pp. 437-449
Open Access | Times Cited: 69
Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations in high-dimensional environments
Logan Cross, Jeff Cockburn, Yisong Yue, et al.
Neuron (2020) Vol. 109, Iss. 4, pp. 724-738.e7
Open Access | Times Cited: 54
[Retracted] Research on the Application of Multimedia Elements in Visual Communication Art under the Internet Background
Wenli Liu
Mobile Information Systems (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 45
Can we really ‘read’ art to see the changing brain? A review and empirical assessment of clinical case reports and published artworks for systematic evidence of quality and style changes linked to damage or neurodegenerative disease
Matthew Pelowski, Blanca T. M. Spee, József Arató, et al.
Physics of Life Reviews (2022) Vol. 43, pp. 32-95
Open Access | Times Cited: 28
Neural mechanisms underlying the hierarchical construction of perceived aesthetic value
Kiyohito Iigaya, Sanghyun Yi, Iman A. Wahle, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 20
From Visual Perception to Aesthetic Appeal: Brain Responses to Aesthetically Appealing Natural Landscape Movies
Ayse Ilkay Isik, Edward A. Vessel
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 34
Using machine learning to predict judgments on Western visual art along content-representational and formal-perceptual attributes
Blanca T. M. Spee, Helmut Leder, Jan Mikuni, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0304285-e0304285
Open Access | Times Cited: 4
The hierarchical construction of value
John P. O’Doherty, Ueli Rutishauser, Kiyohito Iigaya
Current Opinion in Behavioral Sciences (2021) Vol. 41, pp. 71-77
Open Access | Times Cited: 23
Machine learning revealed symbolism, emotionality, and imaginativeness as primary predictors of creativity evaluations of western art paintings
Blanca T. M. Spee, Jan Mikuni, Helmut Leder, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Using unsupervised capsule neural network reveal spatial representations in the human brain
Gongshu Wang, Ning Jiang, Tiantian Liu, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 5
Open Access | Times Cited: 3
Preserving Sculptural Heritage in the Era of Digital Transformation: Methods and Challenges of 3D Art Assessment
Yang Chen, Yang Liu
Sustainability (2024) Vol. 16, Iss. 13, pp. 5349-5349
Open Access | Times Cited: 2
A Theoretical Framework for How We Learn Aesthetic Values
Hassan Aleem, Ivan Correa-Herran, Norberto M. Grzywacz
Frontiers in Human Neuroscience (2020) Vol. 14
Open Access | Times Cited: 20
Evaluation of energy density and macronutrients after extremely brief time exposure
Kosuke Motoki, Toshiki Saito, Shinsuke Suzuki, et al.
Appetite (2021) Vol. 162, pp. 105143-105143
Closed Access | Times Cited: 16
From Canvas to Code: the Evolution of Generative Art in the AI Era
Lisha Ren, Murui Du
(2024)
Open Access | Times Cited: 1
A CRITICAL REVIEW OF CHILDREN'S PAINTINGS FROM A VISUAL ANALYSIS PERSPECTIVE
Muhammad Khairullah Bin Muhammad Marzidi, Azizee Bin Amin, Alex Dudley Anak Sakai, et al.
Special Education [SE] (2024) Vol. 2, Iss. 1, pp. e0025-e0025
Open Access | Times Cited: 1
A computational model of aesthetic value
Aenne Brielmann, Peter Dayan
(2021)
Open Access | Times Cited: 9
A deep-learning framework for human perception of abstract art composition
Pierre Lelièvre, Peter Neri
Journal of Vision (2021) Vol. 21, Iss. 5, pp. 9-9
Open Access | Times Cited: 9
art.pics Database: An Open Access Database for Art Stimuli for Experimental Research
Ronja Thieleking, Evelyn Medawar, Leonie Disch, et al.
Frontiers in Psychology (2020) Vol. 11
Open Access | Times Cited: 7
Stochasticity, Nonlinear Value Functions, and Update Rules in Learning Aesthetic Biases
Norberto M. Grzywacz
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 6
Major sources of computational complexity in complex decision-making
Jan Drugowitsch, Alexandre Pouget
(2024)
Open Access
Embracing Virtual Reality in Destination Marketing: A Serial Mediation Model to Investigate the Role of Virtual Tourism Experiences in the Formation of Place Attachment
Jingjia Luo, Menglong Xia
Sustainability (2024) Vol. 16, Iss. 23, pp. 10551-10551
Open Access
Relating Objective Complexity, Subjective Complexity and Beauty in Binary Pixel Patterns
Surabhi S Nath, Franziska Brändle, Eric Schulz, et al.
(2023)
Open Access | Times Cited: 1
Research on the factors affecting accuracy of abstract painting orientation detection
Qiang Zhao, Zheng Chang, Ziwen Wang
Multimedia Tools and Applications (2023) Vol. 82, Iss. 23, pp. 36231-36254
Closed Access | Times Cited: 1
The Role of the Ventromedial Prefrontal Cortex in Preferential Decisions for Own- and Other-Age Faces
Ayahito Ito, Kazuki Yoshida, Ryuta Aoki, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 2
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