数字图书馆论坛2025，Vol.21Issue(4)：72-82,11.DOI:10.3772/j.issn.1673-2286.2025.04.008
基于引用数据的科研团队学术影响力研究
Academic Influence of Research Teams Based on Citation Data:A Case Study of ChatGPT
摘要
Abstract
Research teams are the backbone of scientific advancement.It is necessary to identify research teams and measure their academic influence.Using ChatGPT-related citation data from the Chinese Citation Database as the data source,this research identifies ChatGPT-focused research teams and evaluates their academic influence across three dimensions:micro-level academic influence(researcher perspective),meso-level academic influence(publication perspective),and macro-level academic influence(disciplinary perspective).A three-dimensional strategic coordinate is applied to analyze the academic influence of these teams.The findings reveal that micro-level and meso-level metrics effectively evaluate and select research teams,while the macro level expands the scope of selected outstanding teams by approximately 5%.Additionally,the study categorizes the academic influence of ChatGPT-related research teams into eight distinct regions using the three-dimensional strategic coordinate.Starting from the eight regions of the three-dimensional strategic coordinate,we analyze the academic influence of the research teams and provide references for strengthening the construction of the research teams.关键词
科研团队/学术影响力/三维战略坐标/ChatGPT/中国引文数据库Key words
Research Team/Academic Influence/Three-Dimensional Strategic Coordinate/ChatGPT/Chinese Citation Database引用本文复制引用
魏绪秋,徐雨薇,孙玉娟,韩启航..基于引用数据的科研团队学术影响力研究[J].数字图书馆论坛,2025,21(4):72-82,11.基金项目
本研究得到国家社会科学基金青年项目"基于文本挖掘的学术论文创新性识别研究"(编号:21CTQ022)资助. （编号:21CTQ022）
