个人信息Personal Information
研究员
硕士生导师
主要任职:校长助理
其他任职:硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:学校党政办公室
学科:科学学与科技管理
电子邮箱:kxdoff@dlut.edu.cn
基于全代引证的专利累积影响力评价--一个诺奖得主专利的案例研究
点击次数:
发表时间:2021-01-01
发表刊物:Journal of the China Society for Scientific and Technical Information
所属单位:技术研究开发院(科技合作与成果转化中心)
卷号:40
期号:3
页面范围:267-277
ISSN号:1000-0135
关键字:"patent impact; patent evaluation; indirect citation; citation network; all-generation citation"
CN号:11-2257/G3
摘要:Direct patent citations are currently used to measure the impact of patents.However,the practice of evaluating patents'impacts based on multiple generations of citations is gradually emerging.It is not sufficient to evaluate patents using direct patent citations,and it is thus important to take indirect patent citations into consideration.In this study,we examine the patents of Sydney Brunner,who won the Nobel Prize in Physiology and Medicine in the USPTO.Based on the cumulative impact method,we develop a cumulative impact index to determine the deep research impact diffusion and citation networks of patents.The results show that the cumulative impact index is more effective than direct patent citations in evaluating patent impact and can reveal"hidden"high-impact patents in large-scale patent networks.Patent citations and the number of cited patents of each generation are approximately normally distributed."Key patents"in the citation networks contribute significantly to the impact of the target patent.The higher the number of direct patent citations,the greater the potential for patents to be indirectly cited.Patents with less generations of citations and more direct patent citations are potentially high-impact patents.
备注:新增回溯数据