本研究以中国知网(CNKI)数据库为依托,聚焦于中国语言文字与外国语言文字学科领域,特定选取了CSSCI和北大核心期刊中的论文作为研究语料。研究样本覆盖了2003年至2023年间国内关于多模态话语分析的期刊论文。通过运用CiteSpace知识图谱...本研究以中国知网(CNKI)数据库为依托,聚焦于中国语言文字与外国语言文字学科领域,特定选取了CSSCI和北大核心期刊中的论文作为研究语料。研究样本覆盖了2003年至2023年间国内关于多模态话语分析的期刊论文。通过运用CiteSpace知识图谱软件,对这一时期内的多模态话语分析整体研究状况进行了文献计量学的深入分析。研究过程中,发现并系统梳理了该时间段内国内多模态话语分析研究领域的年度论文发表数量、核心作者群体以及主要研究机构的分布。此外,本研究还深入分析了关键词使用情况、研究趋势的演变、研究热点的聚焦以及研究前沿的探索。最后,针对该领域的未来发展路径,本研究提出了相关建议,旨在为国内的同类研究提供有益的参考与借鉴。Based on CNKI and focused on the study fields of Chinese and foreign languages, this study chose articles in CSSCI and core journals of Peking University as the research corpus. The research sample covered journal articles on multimodal discourse analysis in China from 2003 to 2023. By using CiteSpace, this study made an in-depth bibliometrics analysis of the overall research status of multimodal discourse analysis in this period. During the research process, the number of annual published articles, the major author group and the distribution of major research institutions in the research field of multimodal discourse analysis in China were found and systematically sorted out. In addition, this study also made an in-depth analysis of the use of keywords, the evolution of research trends, the focus of research hotspots and the exploration of research frontiers. Finally, this study put forward relevant suggestions for the future development of this field, aiming at providing useful reference for similar research in China.展开更多
文摘本研究以中国知网(CNKI)数据库为依托,聚焦于中国语言文字与外国语言文字学科领域,特定选取了CSSCI和北大核心期刊中的论文作为研究语料。研究样本覆盖了2003年至2023年间国内关于多模态话语分析的期刊论文。通过运用CiteSpace知识图谱软件,对这一时期内的多模态话语分析整体研究状况进行了文献计量学的深入分析。研究过程中,发现并系统梳理了该时间段内国内多模态话语分析研究领域的年度论文发表数量、核心作者群体以及主要研究机构的分布。此外,本研究还深入分析了关键词使用情况、研究趋势的演变、研究热点的聚焦以及研究前沿的探索。最后,针对该领域的未来发展路径,本研究提出了相关建议,旨在为国内的同类研究提供有益的参考与借鉴。Based on CNKI and focused on the study fields of Chinese and foreign languages, this study chose articles in CSSCI and core journals of Peking University as the research corpus. The research sample covered journal articles on multimodal discourse analysis in China from 2003 to 2023. By using CiteSpace, this study made an in-depth bibliometrics analysis of the overall research status of multimodal discourse analysis in this period. During the research process, the number of annual published articles, the major author group and the distribution of major research institutions in the research field of multimodal discourse analysis in China were found and systematically sorted out. In addition, this study also made an in-depth analysis of the use of keywords, the evolution of research trends, the focus of research hotspots and the exploration of research frontiers. Finally, this study put forward relevant suggestions for the future development of this field, aiming at providing useful reference for similar research in China.
