An integrated method for interdisciplinary topic identification and prediction: a case study on information science and library science

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NSL OpenIR > 中国科学院成都文献情报中心 > 情报研究部 > 期刊论文

Title:	An integrated method for interdisciplinary topic identification and prediction: a case study on information science and library science
Author:	Kun Dong^1,2; Hai-yun Xu(许海云)^¹; Rui Luo^1,2; Ling Wei^1,2; Shu Fang(方曙)^¹
Source:	Scientometrics
Issued Date:	2018
Issue:	115, Pages:849–868
Keyword:	Interdisciplinary topic ; Topic identification ; Integrated method ; Information science and library science
Subject:	图书馆、情报与文献学
Indexed Type:	SSCi
WOS ID:	WOS:000429006100011
Citation statistics:
Content Type:	期刊论文
URI:	http://ir.las.ac.cn/handle/12502/9734
Appears in Collections:	中国科学院成都文献情报中心_情报研究部_期刊论文

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description.institution:

1.Chengdu Documentation and Information Center, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences

Recommended Citation:

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.

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