Automated Organization ProfileZhongnan University of Economics and Law
Zhongnan University of Economics and Law
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 84.1 (sum of 125 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Research data for the manuscript, including data and code.
Authors
- Yan, Wenshou ;
- Song, Qiaoyin ;
- HU, LIN ;
- Xue, Wenmei
Research data for the manuscript, including data and code.
Authors
- Yan, Wenshou ;
- Song, Qiaoyin ;
- HU, LIN ;
- Xue, Wenmei
Research data for the manuscript, including data and code.
Authors
- Yan, Wenshou ;
- HU, LIN ;
- Song, Qiaoyin
This appendix contains detailed proofs of Theorems 3.1-3.3 and supplementary numerical simulations.
Authors
- zou feng ;
- Hengjian, Cui ;
- Wanfeng, Liang
Collected from the Douban group
Authors
- Yaxuan, Ran ;
- Yuting, Huang ;
- Shuyao, Yang
This dataset allows you to replicate all the processes in the article "Bank fintech and lending distance: The role of information asymmetry and risk management channels". Please download the attached zip file, which contains the code and data for this article (including Main Data and Table 7 Analysis of mechanisms on the supply side). The code provides detailed information on the source of each table. Please note that different tables may require opening different datasets. If you have any questions, feel free to contact [email protected].
Authors
- Feng, Jue ;
- Jiao, Wenniu ;
- Wang, Yingdong
This dataset allows you to replicate all the processes in the article "Bank fintech and lending distance: The role of information asymmetry and risk management channels". Please download the attached zip file, which contains the code and data for this article (including Main Data and Table 7 Analysis of mechanisms on the supply side). The code provides detailed information on the source of each table. Please note that different tables may require opening different datasets. If you have any questions, feel free to contact [email protected].
Authors
- Feng, Jue ;
- Jiao, Wenniu ;
- Wang, Yingdong
This dataset allows you to replicate all the processes in the article "Bank fintech and lending distance: The role of information asymmetry and risk management channels". Please download the attached zip file, which contains the code and data for this article (including Main Data and Table 7 Analysis of mechanisms on the supply side). The code provides detailed information on the source of each table. Please note that different tables may require opening different datasets. If you have any questions, feel free to contact [email protected].
Authors
- Feng, Jue ;
- Jiao, Wenniu ;
- Wang, Yingdong
This dataset allows you to replicate all the processes in the article "Bank fintech and lending distance: The role of information asymmetry and risk management channels". Please download the attached zip file, which contains the code and data for this article (including Main Data and Table 7 Analysis of mechanisms on the supply side). The code provides detailed information on the source of each table. Please note that different tables may require opening different datasets. If you have any questions, feel free to contact [email protected].
Authors
- Feng, Jue ;
- Jiao, Wenniu ;
- Wang, Yingdong
5 experimental data, all collected on the Credamo platform.
Authors
- Xianzheng, Fei ;
- Long, Tang Wen ;
- Kovel Lin