Abstract: Objective To analyze the status quo of research in the field of domestic infant crying, to explore the domestic research hotspots in this field, so as to provide certain ideas and basis for scientific research in infant crying. Methods Relevant papers on infant crying published from 1980 to December 2021 on the CNKI database were selected as the data source. CiteSpace software was used to visualize and analyze the related literature from the following five aspects:The quantity of articles, scholars, research institutions, research focuses, cutting-edge research topics. Results A total of 190 papers were included, with an overall upward trend in the number of articles published in the field from 1980 to 2021. The topic of infant cry has not yet been extensively examined in China, and cooperation among different scholars and institutions in this field was inadequate. The highest number of articles was issued by Hangzhou Medical College and its affiliated hospitals. The hot topics of researches contained nursing of crying babies (touch intervention, skin-to-skin contact, and breastfeeding), recognition of babies' emotional cry, and deep learning. "Nursing", "neonates", "infant crying" and "deep learning" were the frontiers of researches in this field. Research trends shifted from neonatal pathological crying to targeted interventions for infant crying and deep learning. Conclusions The field of domestic infant crying is receiving more attention. Further studies are warranted to strengthen cooperation and communication among different authors and institutions, to integrate multidisciplinary development, and to expand scope from infant emotional needs analysis, intelligent medicine and monitoring and new nursing intervention methods.

Key words: infant cry, CiteSpace, mapping knowledge domains

摘要： 目的 分析国内婴儿哭声研究领域的现状,探索该领域国内研究热点,旨在为婴儿哭声领域科研工作提供一定思路和依据。方法 检索CNKI建库至2021年12月期间所收录的婴儿哭声相关研究文献,运用CiteSpace软件对纳入文献从发文量、作者、机构、关键词、突现5个方面进行可视化分析。结果 共纳入190篇文献,1980—2021年间该领域发文量整体呈上升趋势;研究作者较少,作者间合作网络尚未形成;研究机构之间交互性差,发文量最多的是杭州医学院及其附属医院;“护理干预”、“哭声信息识别”、“深度学习”为该领域研究热点;“护理”、“新生儿”、“婴儿哭声”、“深度学习”为该领域研究前沿;研究趋势由新生儿病理性哭声研究转向婴儿哭声针对性干预、深度学习。结论 国内婴儿哭声领域受到更多重视,未来应强化作者和机构间的合作交流,融合多学科发展,扩大研究范围,可从婴儿情感需求分析、智能医学与监护、新型护理干预方法等方面着手,加速国内婴儿哭声研究进程。

关键词: 婴儿哭声, CiteSpace, 科学知识图谱