Automated Author ProfileLuo, Huizhang
NJIT
Luo, Huizhang
NJIT
Current S-Index
2.9
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.4
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
57.7%
Average FAIR Score per dataset
Total Citations
0
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: 2.9 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data of our paper, Expansion Coding for Performance and Lifetime Improvement on MLC STT-RAM.
Authors
- Luo, Huizhang
0 Citations0 Mentions58% FAIR1.4 Dataset Index
10.21227/fm5h-0j062019