基于CiteSpace的葡萄阿小叶蝉研究进展可视化分析  

Visual Analysis of Research Progress on Arboridia kakogawana Based on CiteSpace

作　　者：王彦 刘晓丽[1] 张怡[1] 陈宏灏[1] WANG Yan;LIU Xiaoli;ZHANG Yi;CHEN Honghao(Institute of Plant Protection,Ningxia Academy of Agricultural Sciences,Yinchuan 750002)

机构地区：[1]宁夏农林科学院植物保护研究所,银川750002

出　　处：《中国农学通报》2025年第7期121-127,共7页Chinese Agricultural Science Bulletin

基　　金：宁夏自然科学基金“葡萄斑叶蝉嗅觉相关基因鉴定及两性间表达差异分析”(2023AAC03414);宁夏回族自治区农业科技自主创新资金——农业高质量发展和生态保护科技创新示范课题“宁夏农业刺吸类害虫诱控剂研发与应用技术研究”(NGSB-2021-10-02);2023年“自治区青年科技人才托举工程”人选培养经费。

摘　　要：通过文献计量学软件CiteSpace对1987—2024年CNKI数据库中葡萄阿小叶蝉领域的143篇相关文献的年度发文量、作者、机构和关键词等进行可视化分析,以期为今后葡萄阿小叶蝉领域的研究方向提供参考。结果表明:(1)葡萄阿小叶蝉相关研究的年发文量在1999—2016年相对较高,总文献数达127篇,年均发文量7篇。(2)该领域没有形成具有广泛联系的作者合作网络,多数学者之间相互独立,缺乏合作与联系。(3)研究机构间合作关系不够紧密,呈现独立分布状态。(4)随着时间发展,研究重点从葡萄阿小叶蝉生物学习性转变为物理防治与管理。综上所述,未来葡萄阿小叶蝉研究应聚焦于跨学科融合,并充分利用现有科学技术手段,在转录组、适生地预测、理化诱控技术等方面加强研究。Utilizing bibliometric software CiteSpace,a visual exploration was undertaken on 143 relevant publications regarding Arboridia kakogawana in the CNKI database spanning from 1987 to 2024.The analysis encompassed annual publication trends,authorship patterns,institutional affiliations,and prevalent keywords.The objective was to offer insights for future research directions within the A.kakogawana domain.The results indicated that the annual publication of research related to A.kakogawana from 1999 to 2016 was relatively high,with a total of 127 publications and an average of 7 articles per year.There was no widely connected author cooperation network in this field,and most scholars were independent of each other and lack of cooperation and connection.The cooperative relationships among research institutions were not close,presenting an independent distribution status.Over time,the research focus had shifted from the biological characteristics of A.kakogawana to physical control and management.In conclusion,future investigations on A.kakogawana should prioritize interdisciplinary convergence,leverage existing scientific and technological resources,and intensify studies in transcriptomics,predictive habitat suitability assessments,and physicochemical control methodologies.

关 键 词：葡萄阿小叶蝉 酿酒葡萄 CITESPACE 文献计量 可视化分析 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论] S435.79[自动化与计算机技术—计算机科学与技术]