知识图谱视域下近10年(2014~2024)学术语篇中评价资源研究的热点分析  

Analysis of Research Hotspots in Evaluative Resources in Academic Discourse from 2014 to 2024 under the Perspective of Knowledge Graph

作　　者：章苗苗 

机构地区：[1]中国矿业大学(北京)文法学院,北京

出　　处：《现代语言学》2025年第2期557-565,共9页Modern Linguistics

摘　　要：本文综合运用CiteSpace 6.3知识图谱工具,对2014至2024年间Web of Science核心合集数据库中的学术语篇评价资源研究文献进行了系统性分析。研究发现,该领域的文献发表量和引用频次均呈现增长趋势,表明学术语篇评价资源研究的活跃度和学术影响力在不断增强。通过共被引作者和期刊分析,本研究揭示了学术语篇分析和评价理论领域的核心贡献者及高影响力期刊。关键词共现分析揭示了八个主要研究聚类,其中体裁分析作为核心主题。最后指出了当前研究的不足,包括跨学科研究的深化、非语言资源的评价意义探索以及多模态评价资源的整合等方面的研究空白,旨在推动学术语篇评价资源研究在理论和实践层面的进一步发展。This paper comprehensively utilizes the CiteSpace 6.3 knowledge mapping tool to conduct a systematic analysis of research literature on evaluative resources in academic discourse from the Web of Science Core Collection database between 2014 and 2024. The study reveals that both the volume of publications and citation frequency in this field have shown an upward trend, indicating increasing activity and academic influence in research on evaluative resources in academic discourse. Through co-citation analysis of authors and journals, this research identifies core contributors and high-impact journals in the fields of academic discourse analysis and evaluation theory. Keyword co-occurrence analysis uncovers eight major research clusters, with genre analysis emerging as a central theme. Finally, the study highlights current research gaps, including the need for deeper interdisciplinary exploration, the investigation of the evaluative significance of non-linguistic resources, and the integration of multimodal evaluative resources. These findings aim to promote further development in the theoretical and practical aspects of research on evaluative resources in academic discourse.

关 键 词：学术语篇 评价资源 知识图谱 研究趋势 CITESPACE 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]