Research Review on Dynamic Icon Feature Recognition Based on CiteSpace Bibliometrics

WANG Xuejiao; ZHAO Yuan

doi:10.19554/j.cnki.1001-3563.2025.24.026

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Packaging Engineering ›› 2025, Vol. 46 ›› Issue (24) : 315-325. DOI: 10.19554/j.cnki.1001-3563.2025.24.026

Visual Communication Design

Research Review on Dynamic Icon Feature Recognition Based on CiteSpace Bibliometrics

WANG Xuejiao, ZHAO Yuan

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Abstract

The work aims to conduct research on classic literature related to dynamic icon feature recognition and sort out and analyze the academic spectrum of researches in China and abroad, as well as research hotspots and future trends. With Web of Science database and China National Knowledge Infrastructure database as literature sources, CiteSpace, the bibliometric software tool, was used to conduct visual graph analysis and review on the publication volume, core authors and research institutions, key word clustering timelines, key word emergence, and other aspects related to the researches in China and abroad. The research on dynamic icon feature recognition has expanded from the field of cognitive psychology to the field of design, and the overall number of literature studies has shown an increasing trend. Through literature analysis in China and abroad, three research hotspots for dynamic icon feature recognition have been identified: feature perception (shape perception, color perception, dynamic perception, semantic perception), visual search (attention, cognitive performance, cognitive load), and special users (elderly users, children users). By sorting and analyzing the research hotspots in this field, reference and inspiration are provided for future research on dynamic icon feature recognition.

Key words

dynamic icons / feature recognition / feature perception / visual search / special users

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WANG Xuejiao, ZHAO Yuan. Research Review on Dynamic Icon Feature Recognition Based on CiteSpace Bibliometrics[J]. Packaging Engineering. 2025, 46(24): 315-325 https://doi.org/10.19554/j.cnki.1001-3563.2025.24.026

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