| An integrated method for interdisciplinary topic identification and prediction: a case study on information science and library science | |
Kun Dong1,2 ; Haiyun Xu1; Rui Luo1,2; Ling Wei1,2; Shu Fang1
| |
| 2018 | |
| Source Publication | Scientometrics
 |
| 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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