Automated Author ProfileFeng, Ke-Na
Feng, Ke-Na
Current S-Index
2.1
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.7
Average Dataset Index per dataset
Total Datasets
3
Total datasets for this author
Average FAIR Score
26.9%
Average FAIR Score per dataset
Total Citations
3
Total citations to the author's datasets
Total Mentions
0
Total mentions of the author'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: 2.1 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Wei, Wen-Jun ;
- Qi, Weiyan ;
- Gao, Xin-Mei ;
- Feng, Ke-Na ;
- Ma, Kai-Liang ;
- Li, Hang-Ying ;
- Li, Ya ;
- Gao, Kun
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc21971n2019
No description available
Authors
- Wei, Wen-Jun ;
- Qi, Weiyan ;
- Gao, Xin-Mei ;
- Feng, Ke-Na ;
- Ma, Kai-Liang ;
- Li, Hang-Ying ;
- Li, Ya ;
- Gao, Kun
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2196q92019