Automated Author ProfileZheng, Xianghao
0000-0002-3410-4663
Zheng, Xianghao
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: 4.6 (sum of 7 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
- Data of IEGS with PJM 5-bus power system and 6-node gas system 2. Data of IEGS with IEEE 39-bus power system and Belgium 20-node gas system is used for case studies of paper entitled"2023 Convexification Algorithm for Dynamic Optimal Power-Gas Flow Considering Compressor Operation Domain-Xianghao Zheng".
Authors
- Zheng, Xianghao
- Data of IEGS with PJM 5-bus power system and 6-node gas system 2. Data of IEGS with IEEE 39-bus power system and Belgium 20-node gas system is used for case studies of paper entitled"2023 Convexification Algorithm for Dynamic Optimal Power-Gas Flow Considering Compressor Operation Domain-Xianghao Zheng".
Authors
- Zheng, Xianghao
- Data of IEGS with PJM 5-bus power system and 6-node gas system2. Data of IEGS with IEEE 39-bus power system and Belgium 20-node gas systemis used for case studies of paper entitled "2023 Online Calculation of Affine Arithmetic-Based Optimal Power-Gas Flow for Tracking Real-Time Changes in Source and Load-Xianghao Zheng".
Authors
- Zheng, Xianghao
- Data of IEGS with PJM 5-bus power system and 6-node gas system2. Data of IEGS with IEEE 39-bus power system and Belgium 20-node gas systemis used for case studies of paper entitled "2023 Online Calculation of Affine Arithmetic-Based Optimal Power-Gas Flow for Tracking Real-Time Changes in Source and Load-Xianghao Zheng".
Authors
- Zheng, Xianghao
Data of IEGS with IEEE 5-bus power system and 6-node gas system is used for case studies of paper entitled " 2023 Convex Optimization Method for Affine Arithmetic-based Optimal Power-Gas Flow under Wind Power Uncertainty-Xianghao Zheng".
Authors
- Zheng, Xianghao
Data of IEGS with IEEE 5-bus power system and 6-node gas system is used for case studies of paper entitled"2023 Convex Optimization Method for Affine Arithmetic-based Optimal Power-Gas Flow under Wind Power Uncertainty-Xianghao Zheng".
Authors
- Zheng, Xianghao
Data of IEGS with IEEE 5-bus power system and 6-node gas system is used for case studies of paper entitled"2023 Convex Optimization Method for Affine Arithmetic-based Optimal Power-Gas Flow under Wind Power Uncertainty-Xianghao Zheng".
Authors
- Zheng, Xianghao