Automated Author ProfileXian, Jia-Wei
Xian, Jia-Wei
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: 0.9 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Included are the patches to the DL_POLY source codes (version 4.08), which enable non-integer values to be taken by the parameters "n" and "m" of the Sutton-Chen potential, and the input files for DL_POLY that we employed to simulate liquid iron at different density and temperature conditions.
Authors
- Xian, Jia-Wei ;
- Sun, T. (Tao) ;
- Tsuchiya, T. (Taku)