Citation: Bao-Guo CHEN, Qiu-Yang YING, Jin-Ni SHEN. Hotspots of Photocatalytic Materials in 2020 Based on Big Data[J]. Chinese Journal of Structural Chemistry, ;2021, 40(10): 1317-1327. doi: 10.14102/j.cnki.0254–5861.2011–3171 shu

Hotspots of Photocatalytic Materials in 2020 Based on Big Data

Bao-Guo CHEN ^{a, b, c} ,
Qiu-Yang YING ^a,, ,
Jin-Ni SHEN ^d

a.
Institute of Science and Technology and Social Research, Fuzhou University, Fuzhou 350100, China
b.
International College, Krirk University, Bangkok 10220, Thailand
c.
State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350002, China
d.
School of Chemistry, Fuzhou University, Fuzhou 350100, China

Corresponding author: Qiu-Yang YING, fzuyqy@163.com
Received Date: 9 March 2021
Accepted Date: 10 May 2021

Fund Project: the Open Foundation of the State Key Laboratory of Structural Chemistry 20190027Youth Program of National Natural Science Foundation of China 51702053

Figures(8)

Based on CiteSpace software, big data bibliometrics analysis was carried out on the keywords of papers of photocatalytic materials published in 2020. Tracking the hotspots and directions can help young scholars to understand the latest progress. In the Web of Sciences, 4147 related papers were searched with "photocatalytic materials" as the main topic. Cluster analysis showed that the hotspots were g-C₃N₄, Mxene and metal-organic frameworks (MOF) and titanium dioxide (TiO₂).
- CiteSpace,
- visual analysis,
- photocatalytic materials,
- big data analysis
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沈阳化工大学材料科学与工程学院沈阳 110142