基于CiteSpace的植物表型研究现状与展望
Status and Prospects of Plant Phenotype Research Based on CiteSpace
王晨龙 1刘鑫 1吾木提·艾山江2
作者信息
- 1. 伊犁师范大学生物科学与技术学院,新疆伊宁 835000
- 2. 伊犁师范大学资源与生态研究所,新疆伊宁 835000;伊犁师范大学资源与环境学院,新疆伊宁 835000
- 折叠
摘要
基于Web of Science(WOS)核心数据库分析了 1993-2023 年的学术论文,通过CiteSpace软件从WOS发文量和研究领域分析、研究国家和机构分析、被引期刊及文章分析、主题词分析、主题词的突现分析、关键词聚类、研究前沿等方面对植物表型文献进行了研究.同时,使用WOS数据库文献分析平台等,采用共被引分析方法构建文献关键词共现矩阵,进一步对矩阵进行聚类分析.通过构建 1993-2003 年、2004-2014 年、2015-2023 年 3 个时间段的关键词共现矩阵,对不同时间段中主题的变化情况进行了分析.共检索到与植物表型组学研究和应用相关的文献 35 657 篇,发现植物表型组学相关研究当前正处于高速增长阶段.聚类分析结果表明,植物表型组学重点关注以下方向:以分子生物学为代表的领域,以现代遥感技术及农业科学为基础的研究,对农业植物表型与遥感技术的结合进行总结及推论分析.
Abstract
This study analyzed academic papers from 1993 to 2023 based on the Web of Science(WOS)core database.Using CiteSpace software,a comprehensive analysis of plant phenotype literature was conducted,including analysis of WOS publication volume and research fields,research countries and institutions,cited journals and papers,subject terms,burst analysis of subject terms,keyword clustering,and research fronts.Additionally,this study employed tools such as the WOS database literature analysis platform and used co-citation analysis to construct a co-occurrence matrix of literature keywords,which was further subjected to cluster analysis.By constructing keyword co-occurrence matrices for three periods(1993-2003,2004-2014 and 2015-2023),the changes in subject terms across different periods were analyzed.A total of 35 657 papers related to plant phenomics research and applications were retrieved,revealing that related research on plant phenomics is currently in a phase of rapid growth.The results of cluster analysis indicated that plant phenomics focused on the following directions:fields represented by molecular biology,research grounded in modern remote sensing technology and agricultural science,and the summarization and inferential analysis of the integration of agricultural plant phenotypes with remote sensing technology.
关键词
植物表型组学/CiteSpace/高光谱/共现分析/聚类分析/1993-2023年Key words
plant phenomics/CiteSpace/hyperspectral imaging/co-occurrence analysis/cluster analysis/1993-2023引用本文复制引用
出版年
2025
国家科技期刊平台
NSTL
万方数据