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基于文献计量学的感性工学研究进展可视化分析
引用本文:赵项,李正慧,吴正仲,陈永康.基于文献计量学的感性工学研究进展可视化分析[J].包装工程,2023,44(16):168-179.
作者姓名:赵项  李正慧  吴正仲  陈永康
作者单位:滇西应用技术大学 珠宝学院,云南 腾冲 679100;马来西亚城市大学,吉隆坡 46100,马来西亚;福建理工大学 设计学院,福州 350118;同济大学 设计创意学院,上海 200092
基金项目:云南省保山高校社科联青年项目(BGQN2214);福建省引进台湾高层次人才“百人计划”专项基金项目(GY-S21081)
摘    要:目的 为系统概括感性工学相关研究全局特征,进一步掌握当前感性工学研究进展,对相关文献研究热点、前沿趋势与理论基础等进行可视化分析。方法 以Web of Science核心合集数据库收录的感性工学相关文献数据作为样本,综合运用VOSviewer及CiteSpace软件对文献产出分布、作者、国家、合作机构、

关 键 词:感性工学  知识图谱  可视化分析  文献计量  VOSviewer  CiteSpace
收稿时间:2023/3/4 0:00:00

Visual Analysis of Research Progress in Kansei Engineering Based on Bibliometrics
ZHAO Xiang,LI Zheng-hui,WU Zheng-zhong,CHEN Yong-kang.Visual Analysis of Research Progress in Kansei Engineering Based on Bibliometrics[J].Packaging Engineering,2023,44(16):168-179.
Authors:ZHAO Xiang  LI Zheng-hui  WU Zheng-zhong  CHEN Yong-kang
Affiliation:School of Jewelry, West Yunnan University of Applied Sciences, Yunnan Tengchong 679100, China;City University Malaysia, Kuala Lumpur 46100, Malaysia;School of Design, Fujian University of Technology,Fuzhou 350118, China; College of Design & Innovation, Tongji University, Shanghai 200092, China
Abstract:The work aims to carry out visual analysis on research hotspots in relevant literature, cutting-edge trends and theoretical foundations to systematically summarize the global characteristics of related research in Kansei Engineering, and further master the current research progress of Kansei Engineering. The literature data related to Kansei Engineering collected in the core database of Web of Science were used as the analysis sample, and VOSviewer and CiteSpace software were comprehensively adopted to draw the knowledge graph about the literature output distribution, author, country, partner institution, key word clustering and literature co-citation. Then, the research context of Kansei Engineering was sorted out through visual analysis. The number of related literature in Kansei Engineering is on the rise as a whole. China, Japan, Malaysia and other Asian countries are in the leading position in research, and the cooperation between regions and countries is close, but the cooperation between inter-regional institutions is relatively scattered. The research disciplines of Kansei Engineering are widely distributed, involving design, computer science, information science and other disciplines and showing a trend of multi-disciplinary cross-integration. The research hotspots mainly focus on product form design, process and method, perceptual evaluation, design knowledge and intelligent learning. The current research status is relatively mature, and a theoretical system based on Kansei Engineering design process and paradigm, semantic difference method and Kansei Engineering system has been formed. In addition, intelligent computing, big data, and text mining have become new trends in future research.
Keywords:Kansei Engineering  knowledge graph  visual analysis  bibliometrics  VOSviewer  CiteSpace
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