Congjun Rao

Prof. Congjun Rao

School of Science, Wuhan University of Technology, Wuhan 430070, China

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 July 2020 in Environmental Science and Pollution Research
Verified
Journal Article
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Congjun RaoCongjun Rao
Congjun Rao
BYBangjie Yan
Bangjie Yan

1 March 2017 in Computers & Industrial Engineering
Verified
Journal Article
Closed access
Congjun RaoCongjun Rao
Congjun Rao
XXXinping Xiao
Xinping Xiao
Mark GohMark Goh
Mark Goh
JZJunjun Zheng
Junjun Zheng
JWJianghui Wen
Jianghui Wen

24 March 2022 in Artificial Intelligence Review
Verified
Journal Article
Closed access
PDF file
JWJing Wang
Jing Wang
Congjun RaoCongjun Rao
Congjun Rao
MGMark Goh
Mark Goh
XXXinping Xiao
Xinping Xiao

1 October 2020 in Applied Soft Computing
Verified
Journal Article
Closed access
Congjun RaoCongjun Rao
Congjun Rao
MLMing Liu
Ming Liu
MGMark Goh
Mark Goh
JWJianghui Wen
Jianghui Wen

3 February 2023 in Expert Systems with Applications
Verified
Journal Article
Closed access
XWXi Wei
Xi Wei
Congjun RaoCongjun Rao
Congjun Rao
XXXinping Xiao
Xinping Xiao
LCLin Chen
Lin Chen
MGMark Goh
Mark Goh

26 January 2022 in Mathematics
Verified
Journal Article
Open access
PDF file
Congjun RaoCongjun Rao
Congjun Rao
YGYue Gao
Yue Gao
Under the background of new-type urbanization and rural revitalization strategy, how to promote the development of urban–rural integration has become an important issue in today’s society. This paper designed a new evaluation mechanism for the development level of urban–rural integration. Specifically, a three-level evaluation index system of urban–rural integration development level was established from four aspects: spatial integration, economic integration, social integration and living environment integration. By combining the entropy weight method with the ranking method, a combination weighting method was proposed to determine the weight of each index in the index system. Furthermore, an improved TOPSIS method based on relative entropy and grey relational degree was proposed to evaluate the development level of urban–rural integration, which considering proximity from the perspectives of distance and shape and solving the problem that some situations cannot be compared through the original model. Then, the established evaluation mechanism was applied to make an empirical analysis for evaluating the development level of urban–rural integration in Hubei Province, China. Cluster analysis and obstacle factor analysis were used to further analyze the evaluation results. Finally, according to the evaluation results, some effective countermeasures and policy implications were provided to improve the development level of urban–rural integration in Hubei Province.