首页|国内外智能家居研究进展与趋势——基于2013-2023年核心期刊文献的CiteSpace可视化分析

国内外智能家居研究进展与趋势——基于2013-2023年核心期刊文献的CiteSpace可视化分析

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运用CiteSpace软件,对2013-2023年中国知网CNKI和Web of Science核心期刊数据库收录的智能家居领域研究型论文进行可视化分析,为我国智能家居研究提供参考。研究发现:在各发文国家中,美国在智能家居领域的贡献最大,我国的研究虽然具有规模,但目前影响力有限。在作者和机构合作方面,国外机构之间的合作程度较高,我国机构之间合作程度有待加强。在研究热点和趋势方面,国内外研究基本围绕着物联网技术、云计算技术、远程控制等,早期国内研究更强调远程控制和数字家庭,而国外研究注重智能电网、传感器和意见反馈;后期国内研究侧重传感器技术和人工智能交互,国外研究则侧重于能源利用和隐私保护。
Research Progress and Trends of Smart Home:Based on Visual Analysis of Domestic and Foreign Core Journal Articles from 2013 to 2023 by CiteSpace
The field of smart homes in China has developed to a certain stage,with qualitative research dominating previous studies and quantitative research being largely absent.Therefore,using the CiteSpace software,a visualization analysis was conducted on smart home-related literature collected from the China National Knowledge Infrastructure(CNKI)and Web of Science core databases from 2013 to 2023,aiming to provide insights and references for smart home research in China.The study found that among the contributing countries,the United States made the largest contribution to the field of smart homes.At the same time,research in China,although extensive,had limited influence.Regarding author and institution analysis,domestic core authors demonstrated a higher level of collaboration,whereas collaboration among institutions was relatively low.Regarding research hotspots,domestic and international research mainly focused on Internet of Things(IoT)technology,cloud computing technology,and remote control,with international research also delving into privacy-related studies.As for research trends,early domestic research emphasized remote control and digital homes,while international research emphasized smart grids,sensors,and feedback.In the current stages,domestic research shifted towards sensor technology and artificial intelligence interaction,while international research focused more on energy utilization and privacy protection.

smart homescore journal articlesdata visualizationtrend analysisCiteSpace

刘峣、李妍、叶森

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大邱大学室内建筑系,韩国大邱 38455

清华大学美术学院,北京 100084

辽宁师范大学美术学院,辽宁大连 116029

智能家居 核心期刊文献 数据可视化 趋势分析 CiteSpace

2024

木材科学与技术
中国林科院木材工业研究所

木材科学与技术

CSTPCD北大核心
影响因子:0.677
ISSN:2096-9694
年,卷(期):2024.38(3)
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