Abstract
The Internet of Things (IoT) has become the central issue and research focus of the global academic community and industry, in order to more clearly understand the research status and future development direction of the IoT. This paper uses the Dewent-Innovation-Index patent database as a data source, using the relevant theories and methods of bibliometrics and content analysis, and using the data visualization tool CiteSpace to conduct 25,775 related patents in the global IoT field between 2006 and 2018. Classification statistics, content analysis and knowledge map mapping, focusing on the analysis and comparison of the IoT technology patent annual analysis, ownership analysis, research fields, research hotspots, and evolution trends, provide reference for China’s IoT development model and technological innovation.
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Acknowledgement
2018 the Ministry of Education’s Industry-University Cooperation Collaborative Education Project “Research and Reform of the IoT Security Course System Based on New Network Security Technology” [grant number 201802007015]; 2019 the teaching reform research project of Jinan University “innovated and practiced the teaching model of the ‘Intelligent Engineering Group’ based on the double-drive mode of production and education” [grant number JC2019168]; 2019 the Research and Practice of the Teaching Reform Research Project of Jinan University “Based on Scientific Research and Cultivation of Innovative Talents” [grant number JC2019181].
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Guo, Hf. et al. (2020). Bibliometric Analysis of Internet of Things Based on CiteSpace. In: Chien, CF., Qi, E., Dou, R. (eds) IE&EM 2019. Springer, Singapore. https://doi.org/10.1007/978-981-15-4530-6_28
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DOI: https://doi.org/10.1007/978-981-15-4530-6_28
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