Automated Author ProfileXinqiang CAI
Xinqiang CAI
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: 0.1 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The superconductivity in tri-layer cuprate Bi2Sr2Ca2Cu3O10+x (Bi2223) is intriguing, not only because it has the highest Tc,max (~110K) among Bi-family, but also the Tc shows a negligible reduction with overdoping. This is very surprising since this obviously violates the Tc dome that is deemed a universal trend for cuprates. However, there is still no consensus on why the Tc is so robust in the overdoped Bi2223. Here we propose to use the high resolution resonant inelastic X-ray scattering (RIXS) to examine the T-dependence of charge excitations and electron-phonon coupling (EPC) in optimally and overdoped Bi2223, which are reported to entangle with the superconducting phase of cuprates. The aim is to determine their correlations with the robust high Tc and find out the essential factor for the high Tc superconductivity in Bi2223. The answer can reveal the nature of the highest Tc in tri-layer cuprates and provide insights on how to raise Tc.
Authors
- Changwei ZOU ;
- GHIRINGHELLI, Giacomo ;
- MARTINELLI, Leonardo ;
- XIAO, Qian ;
- Qizhi LI ;
- ARPAIA, Riccardo ;
- Xinqiang CAI ;
- Yingying PENG