Please wait a minute...
New Technology of Library and Information Service  2014, Vol. 30 Issue (4): 78-84    DOI: 10.11925/infotech.1003-3513.2014.04.12
Current Issue | Archive | Adv Search |
Design and Application of Author Discrimination Software on Papers Indexed by SCI
Yu Jian1, Wu Xia2, Zhao Chunmei2
1. National Science Library, Chinese Academy of Sciences, Beijing 100190, China;
2. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective] The software to discriminate one scientific institute's authors of scientific papers is designed to meet demands of the statistics of papers indexed by SCI. [Context] It can be used to help the department of statistical analysis on papers in SCI to determine Chinese characters for the Chinese author name belong to their institute and its corresponding lab. [Methods] Author discrimination is implemented technically by the comprehensive utilization of one characteristics of scientific research that people from the same research units are more likely to co-author papers, custom unique keywords or co-authors and text features of author fields in SCI. [Results] Automation and high accuracy of author discrimination can be achieved based on maintenance of a personnel list of one scientific institute. [Conclusions] It effectively solves the duplication problem of Chinese names during the analysis of papers in SCI and its design ideas also apply to other databases such as EI and Inspec.

Key wordsPapers statistics      Author discrimination      SCI      Software design     
Received: 22 October 2013      Published: 19 May 2014
:  G356  

Cite this article:

Yu Jian, Wu Xia, Zhao Chunmei. Design and Application of Author Discrimination Software on Papers Indexed by SCI. New Technology of Library and Information Service, 2014, 30(4): 78-84.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2014.04.12     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2014/V30/I4/78

[1] 包凌,钟建文.2001~2010年清华大学水利水电工程系发表论文统计分析[J].情报探索,2012(4):49-53.(Bao Ling,Zhong Jianwen.Statistics and Analysis on Papers of Tsinghua University Published During 2001~2010[J].Information Research,2012(4):49-53.)
[2] 王玉芹.基于SCI-E的中国农业科学院科研论文统计分析[J].农业图书情报学刊,2012,24(8):54-59.(Wang Yuqin.Statistical Analysis of Publications of Chinese Academy of Agricultural Sciences Based on SCI-E[J].Journal of Library and Information Sciences in Agriculture,2012,24(8):54-59.)
[3] 杨俊丽.基于SCI、SSCI和A&HCI的河南大学论文统计[J].大学图书情报学刊,2013,31(1):75-79.(Yang Junli.The Statistical Analysis of Essays Published by Henan University Based on SCI,SSCI,A&HCI[J].Journal of Academic Library and Information Science,2013,31(1):75-79.)
[4] 曾苏,马建霞,汤天波,等.国内科研机构和高校机构知识库规划建设现状与问题研究[J].现代图书情报技术,2009(1):50-57.(Zeng Su,Ma Jianxia,Tang Tianbo,et al.Study on the Present Situation and Problems of Development of Institutional Repository in Chinese Scientific Research Institutions and Universities[J].New Technology of Library and Information Service,2009(1):50-57.)
[5] 丁娜.2004年至2012年北京交通大学SCI收录论文统计与分析[J].中国科教创新导刊,2013(11):1-2.(Ding Na.Statistics and Analysis on Papers of Beijing Jiaotong University Published During 2004~2012[J].China Education Innovation Herald,2013(11):1-2.)
[6] 刘巍,祝忠明,张旺强,等.机构知识库个性化知识资产统计服务的设计与实现研究[J].现代图书情报技术,2012(4):17-21.(Liu Wei,Zhu Zhongming,Zhang Wangqiang,et al.Development and Research of Personaliz­ation Knowledge Property Statistics Module for Institutional Repository[J].New Technology of Library and Information Service,2012(4):17-21.)
[7] 郭薇,常健.中国行政管理学研究作者成熟度的文献计量学分析[J].学海,2008(4):92-99.(Guo Wei,Chang Jian.Bibliometric Study on the Maturity of China's Administration Researchers[J].Academia Bimestris,2008(4):92-99.)
[8] 山东师范大学图书馆情报分析组.山东师范大学科研论文全景分析[J].山东师范大学学报:人文社会科学版,2013,58(1):135-160.(SDNU Library Intelligence Analysis Group.General Analysis of Thesis of Shandong Normal University[J].Journal of Shandong Teachers' University:Humanities and Social Sciences,2013,58(1):135-160.)
[9] 袁军鹏,俞征鹿,苏成,等.作者重名辨识研究进展[J].数字图书馆论坛,2011(10):60-65.(Yuan Junpeng,Yu Zhenglu,Su Cheng,et al.A Survey of Author Name Disambigua­tion[J].Digital Library Forum,2011(10):60-65.)
[10] 郭舒.文献数据库中作者名消歧算法研究[J].现代图书情报技术,2013(7-8):69-74.(Guo Shu.Research on Author Name Disambiguation Algorithm in the Literature Database[J].New Technology of Library and Information Service,2013(7-8):69-74.)
[11] Excel Home.汉字转拼音的完美解决方案[EB/OL] .[2011-09-23].http://club.excelhome.net/thread-229924-1-1.html.(Excel Home.The Perfect Solution to Swiching Chinese Characters to Pinyin[EB/OL] .[2011-09-23].http://club.excelhome.net/thread-229924-1-1.html.)
[12] 科学网.SCI转换工具[EB/OL].[2013-03-05].http://blog.sciencenet.cn/home.php?mod = space&uid=260374&do = blog&id=667402.(ScienceNet.cn.Format Transformation Software for SCI Data[EB/OL].[2013-03-05].http://blog.sciencenet.cn/home.php?mod=space&uid=260374&do=blog&id=667402.)

[1] Lu Yunmeng,Liu Tiezhong. Diffusion Model for Tacit Knowledge of Scientific Cooperation Network Based on Relevance: Case Study of Major Sci-Tech Projects[J]. 数据分析与知识发现, 2021, 5(9): 10-20.
[2] Xu Zengxulin, Xie Jing, Yu Qianqian. Designing New Evaluation Model for Talents[J]. 数据分析与知识发现, 2021, 5(8): 122-131.
[3] Chai Qingfeng, Shi Linyan, Mei Shan, Xiong Haitao, He Huixin. Extracting Knowledge Elements of Sci-Tech Literature Based on Artificial and Machine Features[J]. 数据分析与知识发现, 2021, 5(8): 132-144.
[4] Wang Qinjie, Qin Chunxiu, Ma Xubu, Liu Huailiang, Xu Cunzhen. Recommending Scientific Literature Based on Author Preference and Heterogeneous Information Network[J]. 数据分析与知识发现, 2021, 5(8): 54-64.
[5] Zhang Xin,Wen Yi,Xu Haiyun. A Prediction Model with Network Representation Learning and Topic Model for Author Collaboration[J]. 数据分析与知识发现, 2021, 5(3): 88-100.
[6] Shen Si,Li Qinyu,Ye Yuan,Sun Hao,Ye Wenhao. Topic Mining and Evolution Analysis of Medical Sci-Tech Reports with TWE Model[J]. 数据分析与知识发现, 2021, 5(3): 35-44.
[7] He Xueyao, Ma Tingcan, Yue Mingliang, Ou Guiyan. Analyzing Highly Cited Papers Sponsored by National Natural Science Foundation of China[J]. 数据分析与知识发现, 2021, 5(2): 61-69.
[8] Li Xiao, Qu Jiansheng. Review of Application and Evolution of Meta-Analysis in Social Sciences[J]. 数据分析与知识发现, 2021, 5(11): 1-12.
[9] Chen Shiji, Qiu Junping, Yu Bo. Topic Analysis of LIS Big Data Research with Overlay Mapping[J]. 数据分析与知识发现, 2021, 5(10): 51-59.
[10] Yu Shuo,Hayat Dino Bedru,Chu Xinbei,Yuan Yuyuan,Wan Liangtian,Xia Feng. Understanding Serendipity in Science: A Survey[J]. 数据分析与知识发现, 2021, 5(1): 16-35.
[11] Li Gang, Guan Weidong, Ma Yaxue, Mao Jin. Predicting Social Media Visibility of Scholarly Articles[J]. 数据分析与知识发现, 2020, 4(8): 63-74.
[12] Wang Xinyun,Wang Hao,Deng Sanhong,Zhang Baolong. Classification of Academic Papers for Periodical Selection[J]. 数据分析与知识发现, 2020, 4(7): 96-109.
[13] Hu Yongjun,Wei Tingting,Dou Zixin,Huang Yunyin,Liang Ruicheng,Chang Huiyou. Tech-Development Path of Knife-Scissor Industry in Guangdong with TRIZ Analysis of Patents[J]. 数据分析与知识发现, 2020, 4(2/3): 101-109.
[14] Shi Hongbo,Guo Hongmei,Yue Ting,Qian Li,Huang Dingyu,Chang Zhijun. Developing Modularity Scientometrics System with Distributed Technology[J]. 数据分析与知识发现, 2020, 4(2/3): 231-238.
[15] Hong Pan,Li Tang. Qualitative Data Analysis in Chinese Social Science Studies——The Case of Nvivo[J]. 数据分析与知识发现, 2020, 4(1): 51-62.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn