Hot Spots and Trends of Credit Research Based on Blockchain Technology—A CiteSpace Visual Analysis
DOI: 10.23977/autml.2023.040308 | Downloads: 7 | Views: 288
Author(s)
Yuqian Zhang 1, Panpan Zhu 1, Yu Kang 1, Jia Yang 2
Affiliation(s)
1 College of Economics and Management, Henan Agricultural University, Zhengzhou, Henan, 450046, China
2 International Education College, Henan Agricultural University, Zhengzhou, Henan, 450046, China
Corresponding Author
Panpan ZhuABSTRACT
This paper examines the highlights and development trends in blockchain-based credit research based on CiteSpace visualization software. The study found that financial services, smart agriculture, judicial deposit, government services, and double carbon strategy are currently applied scene of credit building based on blockchain technology. Credit research based on blockchain technology has broadly undergone a development process from basic technology research and financial services applications to multidisciplinary advancement. Based on the analysis of the existing research hotspots and hotspot changes, it can be found that the construction of a blockchain-based credit system has not only achieved rich results at the technical level but has also been practically applied in many fields. With the combined effect of policy dividends and technical advantages, future credit construction based on blockchain will be continuously improved and developed at a higher level and in a wider field. Later research can strengthen the integration and innovation with other information technologies such as big data, artificial intelligence, and cloud computing in response to the demand of specific business scenarios, explore the path of technology application scale, and promote industrial development.
KEYWORDS
Blockchain, Credit Research, CiteSpace, Visual AnalysisCITE THIS PAPER
Yuqian Zhang, Panpan Zhu, Yu Kang, Jia Yang, Hot Spots and Trends of Credit Research Based on Blockchain Technology—A CiteSpace Visual Analysis. Automation and Machine Learning (2023) Vol. 4: 60-70. DOI: http://dx.doi.org/10.23977/autml.2023.040308.
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