【摘要】 为了研究中文科技期刊被国际期刊“施引侧”的引用行为，采用Python+Selenium+Chrome组合框架设计了WhoCiteMe程序，提出一种期刊论文施引侧引用信息的数据挖掘方法．文章提出了WhoCiteMe程序的设计思路，并分析了广东省10种中文科技期刊被国际期刊引用次数、学科分布、施引期刊的分区等特征．结果表明：提出的算法和设计的数据挖掘程序，可以获取国际期刊施引文献清单及引用数据，为评价中文科技期刊的国际影响力提供个性化数据，为办刊决策提供数据支撑．更多还原

【Abstract】 In order to study the citation behavior of Chinese scientific journals by international journals on the citation side, the WhoCiteMe program was designed using the Python + Selenium +Chrome framework, proposing a data mining method for citation information on the citation side of journal articles.It outlined the design concept of the WhoCiteMe program,and analyzed the citation frequency,disciplinary distribution,and zone distribution of citing journals for 10 Chinese scientific journals in Guangdong province.The results have indicated that the proposed algorithm and designed data mining program can obtain a list of cited literature and citation data for international journals,providing personalized data for evaluating the international influence of Chinese scientific journals and offering data support for journal decision-making.更多还原