Keywords
bibliometrics, CiteSpace, knowledge graph analysis, Blockchain + Artificial Intelligence
Abstract
“Blockchain + Artificial Intelligence” has great development prospects. In order to explore the hot spots of global “Blockchain + Artificial Intelligence” research,analyze its research trends and master its research dynamics,this paper selected WOS database,EI database and CNKI database as data sources,based on CiteSpace visual analysis software and bibliometric method,the scientific knowledge map of “Blockchain + Artificial Intelligence” research was drawn through keyword co-occurrence,clustering and time evolution analysis. Then identify the research hotspots,research trends,research frontiers,researcher cooperation network of “Blockchain + Artificial Intelligence”and so on. The purpose is to provide intelligence support for relevant researchers to better grasp the focus and direction of research in this field,and puts forward corresponding suggestions based on the research results to promote the development of “Blockchain + Artificial Intelligence”in China.
DOI
10.16315/j.stm.2022.03.001
Recommended Citation
JIANG, Zi-ying and LIU, Xue-feng
(2022)
"Progress,hotspots and frontiers of “Blockchain +Artificial Intelligence” research: Knowledge graph analysis based on CiteSpace c,"
Journal of Science and Technology Management: Vol. 24:
Iss.
3, Article 1.
DOI: 10.16315/j.stm.2022.03.001
Available at:
https://jstm.researchcommons.org/journal/vol24/iss3/1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
