Visualized Analysis of Neuroaesthetics Research: A Review Based on CiteSpace

Published: 15 June 2019| Version 1 | DOI: 10.17632/hvjw6x92sn.1
Xiaoyu Wang


1.Full record and cited references from all articles and reviews published in Neuroaesthetics journals between 1991 and 2018 were exported as text files. We used the keyword“neuroaesthetics”to search the literatures. The information we choose including author data, keywords, citation data and abstract. 2.We imported the data from Web of Science Core Collection into a plain text, sent the text to the new created project named“Neuroaesthetics”in the CiteSpace. After the data was imported into CiteSpace, the network of neuroaesthetics core literatures was visually analyzed. For some related variable analysis, due to too many links, it is impossible to directly understand the visualization process. Thus, we made the cluster.   3.Co-Cited References Analysis reflect the dynamic changes in neuroaesthetics research fields Dual-Map Overlay Analysis The dual-map overlays can identifies the dynamics of previous study on the basis of the data set with cross-discilines. Burst Detection Analysis The function of burst detection searches for scientific features that have high intensities over limited temporal durations and capture the sharp increases in interest in a specific research field. Burst detection can present some topics which were actively discussed in neuroaesthetics for a time. The analysis of burst detection can find the emerging trends in the area of neuroaesthetics.



Dalian University of Technology


Neuroscience, Aesthetics