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https://doi.org/10.1080/02664763.2020.1759030

has been cited by the following article:

• TITLE: Bibliometric Analysis of Credit Risk Based on the Web of Science (WOS)

  AUTHORS: Jian Xue, Yixue Fan

  KEYWORDS: Credit Risk, Bibliometric Study, COOC Analysis, Visualization Analysis

  JOURNAL NAME: American Journal of Industrial and Business Management, Vol.13 No.9, September 14, 2023

  ABSTRACT: To clarify the evolution of credit risk research, the article searches the literature data on credit risk research from 2007 to 2022 through the Web of Science (WOS) database and adopts the scientometric method to analyze the number of publications, the distribution of countries/regions in the field of credit risk research with the help of Co-Occurrence (Cooc) metrology software, respectively, distribution of important journals, and analysis of highly cited literature, which elaborates the current status and research hotspots of credit risk research; secondly, we analyze the distribution pattern and evolution trend by drawing the relevant knowledge maps of keyword co-occurrence network, keyword clustering analysis, author-keyword clustering, and research hotspots. It aims to summarize the achievements and shortcomings of the existing literature, clarify the future research direction, and promote the development of corporate credit research.