数字图书馆论坛2025，Vol.21Issue(12)：16-27,12.DOI:10.3772/j.issn.1673-2286.2025.12.003
功能分类视角下科学软件的学术引用特征
Academic Citation Characteristics of Research Software Based on Functional Classification:Evidence from zbMATH Open Database
摘要
Abstract
As a critical non-documentary knowledge resource,research software plays a foundational role in research activities.Based on the zbMATH Open database,the study constructs a functional classification framework for research software in mathematics.The study introduces generative artificial intelligence technology to achieve automated annotation for classification through prompt engineering.Further,the study applies bibliometric and network analysis methods to investigate the characteristics and patterns of research software citations.The results indicate that citations of research software in mathematical research demonstrate a continuous growth trend and high citation concentration,with a small number of software tools occupying pivotal roles in research practice.Different mathematical disciplines demonstrate varying degrees of reliance on different types of research software.Regarding software combinations,research software within the same functional category is often co-cited to address complex and evolving research needs.In cross-functional combinations,computational software is more likely to be co-cited with software from other categories.These findings reveal the citation characteristics and dynamic evolution patterns of research software across different functional categories,and provide empirical evidences and methodological references for understanding the tool ecosystem in research activities as well as extending bibliometric research beyond traditional scholarly literature.关键词
科学软件/引用特征/功能分类/生成式人工智能/zbMATH Open数据库Key words
Research Software/Citation Characteristic/Functional Classification/Generative Artificial Intelligence/zbMATH Open Database分类
社会科学引用本文复制引用
戴婷,曹喆,刘建华,张琳..功能分类视角下科学软件的学术引用特征[J].数字图书馆论坛,2025,21(12):16-27,12.基金项目
本研究得到国家自然科学基金面上项目"从测度到理解:跨学科研究的成果分类、合作模式与影响扩散研究"(编号:72374160)、国家自然科学基金专项项目"面向科技强国目标的科学基金资助体系评估方法研究"(编号:L2424132)资助. （编号:72374160）
