Automated Author ProfileZe, Luo
Computer network information center of Chinese Academy of Sciences
Ze, Luo
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
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: 0.5 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data set includes 11 periods of spatial distribution data of Qinghai lake water body every three years from 1987 to 2017, with a total data volume of 2.25mb. The data is stored in SHP vector data format, and the projection system is WGS-84. It can be used as the basic data for the study of the temporal and spatial changes of water body and the assessment of lake water change, and also can be used as an important basis for the study of the relationship between water resources change, climate change and lake response.
Authors
- Meiyu, Hao ;
- Ze, Luo