数字图书馆论坛2024，Vol.20Issue(10)：33-41,9.DOI:10.3772/j.issn.1673-2286.2024.10.004
基于间接引用机制的科学文献被引频次优化模型构建与实证研究
Construction and Empirical Research of Citation Frequency Optimization Model of Scientific Literature Based on Indirect Citation Mechanism
摘要
Abstract
In order to objectively evaluate the real influence of scientific literature and weaken the Matthew effect in academic evaluation,this paper constructs a citation frequency optimization model of scientific literature by reducing the counting weight of indirect citation relationships,proposes a citation optimization ratio index,and tests the effectiveness of this model through empirical research.The findings are as follows.Firstly,the results after optimizing the indirect citation frequency weights can objectively reflect the real citation and real influence of scientific literature.Secondly,the citation frequency optimization model can be used to identify potentially high-quality and highly cited papers.Thirdly,the citation frequency optimization model can weaken the time accumulation and Matthew effect of citations in academic evaluation to a large extent,and has high evaluation fairness and better screening ability for young literature.关键词
科学文献/间接引用/被引频次/学术评价Key words
Scientific Literature/Indirect Citation/Citation Frequency/Academic Evaluation分类
社会科学引用本文复制引用
刘运梅,李冉,秦佳佳..基于间接引用机制的科学文献被引频次优化模型构建与实证研究[J].数字图书馆论坛,2024,20(10):33-41,9.基金项目
本研究得到国家自然科学基金青年项目"基于全文本引文解构的引用失范行为识别与生成机理研究"(编号:72304181)、国家智能评价与治理实验基地2024年创新评价开放基金资助. （编号:72304181）
