With an increasing number of scientific achievements published,it is particularly important to conduct literature-based knowledge discovery and data mining.Flood,as one of the most destructive natural disasters,has be...With an increasing number of scientific achievements published,it is particularly important to conduct literature-based knowledge discovery and data mining.Flood,as one of the most destructive natural disasters,has been the subject of numerous scientific publications.On January 1,2018,we conducted literature data collection and processing on flood research and categorized the retrieved paper records into Whole SCI Dataset(WS)and High-Citation SCI Dataset(HCS).These data sets can serve as basic data for bibliometric analysis to identify the status of global flood research during 1990-2017.Our study shows that while the Chinese Academy of Sciences was the most productive institution during this period,the United States was the most productive country.Besides,our keyword analysis reveals the potential popular issues and future trends of flood research.展开更多
以2010~2019年Web of Science核心合集数据库中自然科学引文索引和社会科学引文索引收录的遥感科学相关文献为数据源,采用统计计量、知识图谱以及质心迁移模型等方法,对近10 a遥感科学发文的时空动态、学科分布、主题热点进行深入分析...以2010~2019年Web of Science核心合集数据库中自然科学引文索引和社会科学引文索引收录的遥感科学相关文献为数据源,采用统计计量、知识图谱以及质心迁移模型等方法,对近10 a遥感科学发文的时空动态、学科分布、主题热点进行深入分析。结果表明:全球遥感科学论文的作者集中于欧洲、北美以及亚洲东部地区,10 a间遥感科学研究的发文量质心呈现显著的东移特征,影响力质心整体呈现东移趋势,但发文量质心迁移距离远大于影响力质心迁移距离。包括中国、美国、德国、意大利和英国在内的5个高产国家遥感科学论文的主要交叉学科差异明显,美国在13个主要学科中发文表现均衡,中国在天文与天体物理、生态学等交叉学科发文量偏低。5个高产国家的主题热点也存在差别,中国学者关注全球变化及青藏高原等方面的研究,美国学者综合遥感技术对火星、月球等开展了探索。近10 a来气候变化、城市化、变化监测等的研究受到关注。未来可以进一步综合多源遥感数据开展交叉学科研究,遥感大数据结合人工智能算法推进智慧地球的建设。展开更多
基金National Key Research and Development Program of China(2016YFE0122600)。
文摘With an increasing number of scientific achievements published,it is particularly important to conduct literature-based knowledge discovery and data mining.Flood,as one of the most destructive natural disasters,has been the subject of numerous scientific publications.On January 1,2018,we conducted literature data collection and processing on flood research and categorized the retrieved paper records into Whole SCI Dataset(WS)and High-Citation SCI Dataset(HCS).These data sets can serve as basic data for bibliometric analysis to identify the status of global flood research during 1990-2017.Our study shows that while the Chinese Academy of Sciences was the most productive institution during this period,the United States was the most productive country.Besides,our keyword analysis reveals the potential popular issues and future trends of flood research.
