大数据时代基于InCites及SciVal的科技期刊选题策划路径研究

打开文本图片集

中图分类号：R232 文献标识码：A文章编号：1006-1959（2025）13-0060-09

DOI：10.3969/j.issn.1006-1959.2025.13.011

Abstract：TopicplangplaanmportanleiancigtheoecompitivensofietificjualsInteraofigatattic selectionandplagokfecendecoljoualdisdtelyietieseaevauatitlsusinultieatio indicatorstoctiuouslyxploreandtrackotoicseapertaksHealhRsearchasaneamplesingtwosientficeseahaget alysispll betwenthetwoTakingthe"EmotionMnagemetandHealthehavior"olumasaexampleusesuantitatiedicatorssuchstherf scientifihsteftfeputdhstleloptad oftiseseacheldfrot2Isalsddtichstsd China，providingefeeforheletiodpagoftheoaesatioofualityroduciiineublsg industryistialifiicsualiottiplefpobdicleoio completingtraditionalditingandprofreadingworkandtocontiuouslyexploreandtrackhottopicstroughmeanssuchsbigdataand artificial intelligence.

KeyWords：Bigdata; Scientific journals; InCites;SciVal; Topic planning

随着科学技术的日新月异，全球的数据量呈爆炸式增长，大数据（bigdata）的概念应运而生。（剩余11007字）