基于CRExplorer文献影响力类型分析的海量文献学习策略研究——以脑机接口领域为例  

Research on Learning Strategies Based on CRExplorer Literature Influence Type Analysis:Taking Brain-computer Interface As an Example

作　　者：吴闯 王春蕾[1] 李海斌[1] 刘丁[1] WU Chuang;WANG Chun-lei;LI Hai-bin;LIU Ding(Northeast Normal University Library,Changchun 130024,China)

机构地区：[1]东北师范大学图书馆,长春130024

出　　处：《大学图书情报学刊》2021年第4期124-129,共6页Journal of Academic Library and Information Science

摘　　要：如何在海量文献中找出值得精读、细读的重要文献,是科研工作者普遍会遇到的问题,也是图书馆提供科研咨询服务中需要重点解决的问题。文章利用参考文献分析工具CRExplorer,以脑机接口领域为例,对该领域发展具有里程碑意义的重要文献进行分析判断,包括出版后很快收到许多引用的热点文献、出版几年后才被大量引用的“睡美人”文献和贯穿整个生命周期都被持续引用的经典科学文献,并针对不同文献影响力类型进行了学习策略模型研究。How to find out the important literature worthy of intensive reading in the massive literature is a common problem for scientific research workers,and it is also a key problem for the library to provide scientific research consulting services.Taking the brain computer interface(BCI)field as an example,this paper uses the reference analysis tool CRExplorer to analyze and judge the important literature types with milestone significance in the development of brain computer interface field,including the“hot literature”that received a lot of references soon after publication,the“sleeping beauty literature”which was widely cited only a few years after publication,and the“classic scientific literature”which has been continuously cited throughout the whole life cycle.And the learning strategy model is studied for different types of literature influence.

关 键 词：参考文献 CRExplorer 脑机接口 学习策略 

分 类 号：G353.1[文化科学—情报学] TP11[自动化与计算机技术—控制理论与控制工程]