文章选用WOS数据库中关于跨模态检索的相关文献，结合文献计量学和可视化知识图谱分析方法，运用Hiscite和CiteSpace分析工具，对所选取文献进行多维度的统计分析和可视化分析。通过对领域内主要研究作者、国家、机构、热点、研究趋势、研究前沿等方面的研究，发现中国是研究跨模态检索成果较多的国家，研究方向主要集中在算法改进、模型研究等，研究前沿主要集中在人工智能、深度学习、多媒体识别等方面。

In this paper, the relevant literature on cross-modal retrieval in WOS database is used. Combining bibliometrics and visual knowledge mapping analysis methods, Hiscite and CiteSpace analysis tools are used to conduct multi-dimensional statistical analysis and visual analysis of selected documents. Through the research on the main authors, countries, institutions, hotspots, research trends and research frontiers in the field, this paper finds that China is a country with more research results on cross-modal retrieval and research direction is mainly focused on algorithm improvement, model research,etc. The research frontiers are mainly concentrated on artificial intelligence,deep learning and multimedia recognition.