%A Yu Jian, Wu Xia, Zhao Chunmei %T Design and Application of Author Discrimination Software on Papers Indexed by SCI %0 Journal Article %D 2014 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2014.04.12 %P 78-84 %V 30 %N 4 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3889.shtml} %8 2014-04-25 %X

[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.