Abstract: Keyword co-occurrence network method can help the researchers to know the research developments and hotspots of a subject comprehensively, and give instructions for the research work of people. What’s more, as the materials of low-cost and environment friendly, graphene have attracted much attention of the researchers. In China, studies about graphene involve many aspects, so it is difficult for the researchers to catch the main points of this area, which will hinder the research development and industrialization. In this paper, we analyze the hotspots of graphene area basing on the articles about graphene in CNKI from 2008 to 2018 by the bibliometric method of keyword co-occurrence network analysis. The research results indicate that this method can effectively analyze the keywords distribution and exploit the hotspots of graphene area. The top 4 hotspots in graphene area are “graphene oxide”, “carbon nanotubes”, “mechanical properties” and “electrical properties”. For the hotspot GO, people paid much attention to the properties of organic composites enhanced by GO directly or indirectly and the applications of GO-rela-ted materials in water purification as the absorbents for heavy metal ions or organics purification; for the hotspot, the researches focused on the preparing methods and applications of CNTs/graphene-family-related composites and MWCNs/graphene-family-related composites; for the hotspot mechanical properties in graphene field, authors paid much attention to the theoretical methods to study the mechanical properties of graphene, the preparing methods and mechanical properties graphene-related composites, as well as the mechanical properties of GO/organics or RGO/organics composites; for the hotspot electrical conductivities, the researchers’ chief concerns were the improved methods to modify the electrical conductivities and mechanical properties of RGO, the summarization on properties and applications of graphene, the modifying methods to enhance the properties of graphene which included electrical conductivities, the factors influencing the electrical conductivities of GO-related composites, and the effects of the graphene contents and preparing methods on the properties of graphene-related composites.
方小利, 姚雪菲, 张宁, 杨红梅. 基于关键词共现网络法的中国石墨烯领域的研究热点分析[J]. 材料导报, 2019, 33(Z2): 78-82.
FANG Xiaoli, YAO Xuefei, ZHANG Ning, YANG Hongmei. Study of Research Hotspots in Graphene Area in China by Keyword Co-occurrenceNetwork Method. Materials Reports, 2019, 33(Z2): 78-82.