Visual analysis of emergency robot research based on scientific knowledge graph

In order to grasp the research trends of emergency robots in China, with 673 documents included in CNKI from 2000 to 2024 as the data source, the data visual analysis such as timing map, subject distribution, author cooperation, organization cooperation, keyword and literature co-citation, mutation...

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Bibliographic Details
Published in2024 International Applied Computational Electromagnetics Society Symposium (ACES-China) pp. 1 - 6
Main Authors Bingjian, Song, Yuming, Bai, Xiaojun, Xu, Jicheng, Wu, Jiaping, Qi
Format Conference Proceeding
LanguageEnglish
Published IEEE 16.08.2024
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Summary:In order to grasp the research trends of emergency robots in China, with 673 documents included in CNKI from 2000 to 2024 as the data source, the data visual analysis such as timing map, subject distribution, author cooperation, organization cooperation, keyword and literature co-citation, mutation word analysis and so on with the help of CiteSpace6.2. The research results show that the output of Chinese emergency robot research papers conforms to the logical growth curve of Price, and the literature output of robot, fire fighting and fire fighting is the highest, mainly published in Fire Science and Technology; Considering the publication quantity and the influence factor of the journal, Fire Science and Technology is the most authoritative core journal in the field of emergency robot in China. The author takes Jiang Shuhai, Chen Libin, Xu Zhengfei, Sun Shudong, Fei Wenliang and so on, the institutions are concentrated in Shanghai Fire Research Institute, Southwest University of Science and Technology, University of South China, Shenyang University of Technology, Nanjing Forestry University, and the author cooperation and institutional cooperation network is relatively loose. Robots, fire fighting, fire fighting and rescue, control system, high-rise building and so on are the core keywords in this field. Changing word robot, fire fighting, path planning and control system represent the hot spots and frontier of current emergency robot research
DOI:10.1109/ACES-China62474.2024.10699640