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摘要: 【 目的 】结合机构产出 SCI 论文统计需求 , 设计一款自动甄别目标机构作者和实验室的软件。【 应用背景 】
可辅助论文统计部门快速准确识别机构论文作者和实验室 ( 部门 ), 进而获得机构作者和实验室的论文产出分布
情况。【 方法 】 从技术上实现综合利用相同研究单元内作者合作较多的科研特点、 自定义作者唯一关键词或合作
者字段以及 SCI 数据库作者相关字段的文本特征来甄别目标机构作者。【 结果 】 允许用户通过目标机构人员名单
维护来实现 SCI 论文作者甄别的自动化和高准确度。【 结论 】 有效解决 SCI 论文中文作者因拼音写法多样且易重
名而造成作者相关论文数据难以准确统计的问题 , 其设计思路也适用于 EI 及其他数据库论文作者甄别。

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.