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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 Dong1,2; Hai-yun Xu(许海云)1; Rui Luo1,2; Ling Wei1,2; 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
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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