Automated Author ProfileXu, T
Tianjin University
Xu, T
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: 0.3 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
An investigation of the topological properties of the real-world electricity distribution networks was conducted using real network data that was collected from China, covering urban and sub-urban areas. The study was focused on the 10kV level of the distribution networks. The networks have been modelled as graphs with nodes representing substations, distribution transformers, switches, busbars and consumer locations of the network, and edges standing for the connections between the nodes through underground (UG) cables and overhead (OH) distribution line segments. Since, the collected real-world network data set includes the actual geographical location of the electrical components in a map, the information about nodes were extracted with x, y coordinates. Hence, the edges were represented using start and end x, y coordinates. Therefore, the extracted topological structure of each 10kV network sample is available in the data set as a connection matrix. Connection matrix has four columns; start_x coordinate, start_y coordinate, end_x coordinate and end_y coordinate. A row in a connection matrix corresponds to one edge in a specific network. Connection matrices were used to analyse the topological properties of the networks and also it was used to re-create the network layouts for visualizing purposes.
Authors
- Abeysinghe, S ;
- Wu, J ;
- Xu, T ;
- Wang, C