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An integrated method for interdisciplinary topic identification and prediction: a case study on information science and library science
文献类型：期刊论文
| 作者 | Kun Dong1,2 ; Haiyun Xu1; Rui Luo1,2; Ling Wei1,2; Shu Fang1
|
| 刊名 | Scientometrics
 |
| 出版日期 | 2018 |
| 期号 | 115页码:849–868 |
| 关键词 | Interdisciplinary topic Topic identification Integrated method Information science and library science |
| 学科主题 | 图书馆、情报与文献学 |
| 收录类别 | SSCI |
| WOS记录号 | WOS:000429006100011 |
| 源URL | [http://ir.las.ac.cn/handle/12502/9734]  |
| 专题 | 文献情报中心_中国科学院成都文献情报中心_情报研究部 |
| 作者单位 | 1.Chengdu Documentation and Information Center, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：文献情报中心
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