An integrated method for interdisciplinary topic identification and prediction: a case study on information science and library science | |
Kun Dong1,2![]() ![]() | |
2018 | |
Source Publication | Scientometrics
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Issue | 115Pages:849–868 |
Keyword | Interdisciplinary Topic Topic Identification Integrated Method Information Science And Library Science |
Subject Area | 图书馆、情报与文献学 |
Indexed By | SSCi |
WOS ID | WOS:000429006100011 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.las.ac.cn/handle/12502/9734 |
Collection | 中国科学院成都文献情报中心_情报研究部 |
Affiliation | 1.Chengdu Documentation and Information Center, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences |
First Author Affilication | 中国科学院文献情报中心 |
Recommended Citation GB/T 7714 | Kun Dong,Haiyun Xu,Rui Luo,et al. An integrated method for interdisciplinary topic identification and prediction: a case study on information science and library science[J]. Scientometrics,2018(115):849–868. |
APA | Kun Dong,Haiyun Xu,Rui Luo,Ling Wei,&Shu Fang.(2018).An integrated method for interdisciplinary topic identification and prediction: a case study on information science and library science.Scientometrics(115),849–868. |
MLA | Kun Dong,et al."An integrated method for interdisciplinary topic identification and prediction: a case study on information science and library science".Scientometrics .115(2018):849–868. |
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