Automated Author ProfileJia, Yao
Hefei Institute of Physical Science, Chinese Academy of Sciences
Jia, Yao
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: 1.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
A method for heavy metals determination in industrial wastewater based on laser induced breakdown spectroscopy (LIBS) technique was studied，and the on-line monitoring system which used automatic graphite enrichment and spatial plasma confinement detection was developed and field demonstrated. The limits of detection (LOD) of heavy metal elements(Cd, Cr, Cu, Ni, Pb, Zn) could reach several μg/L. In Tongling, the on-line heavy metal monitor was field demonstrated. The calibration curves of Copper and zinc were built on-site, and then on-line monitoring was conducted. The measurement results by this monitor was compared with ICP-OES, and had a good correlation.
Authors
- Nanjing Zhao ;
- Deshuo Meng ;
- Jia, Yao ;
- Mingjun Ma ;
- Fang, Li ;
- Jianguo Liu ;
- Wenqing Liu