Automated Author ProfileDao, Fuhai
Dao, Fuhai
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: 3.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains the key numerical model results from the study "Synergistic Coastal Resilience: Optimizing Storm Surge Barriers and Adaptive Shoreline Defenses for Macao Under Sea-Level Rise."The dataset is organized into three main components, which were critical for validating the model's accuracy against real-world measurements:1. Modeled_storm_tide_used_for_Figure_5_validation: Time-series data of water levels (combining tide and storm surge) at four tidal gauge stations in the Pearl River Estuary.2. Modeled_significant_wave_height_used_for_Figure_6_validation: Time-series data of significant wave height at a buoy location in the estuary.3. Modeled_inundation_depth_used_for_Figure_7_validation: Spatial data of flood depths across the Macao Peninsula at specific survey points.
Authors
- Dao, Fuhai
This dataset contains the key numerical model results from the study "Synergistic Coastal Resilience: Optimizing Storm Surge Barriers and Adaptive Shoreline Defenses for Macao Under Sea-Level Rise."The dataset is organized into three main components, which were critical for validating the model's accuracy against real-world measurements:1. Modeled_storm_tide_used_for_Figure_5_validation: Time-series data of water levels (combining tide and storm surge) at four tidal gauge stations in the Pearl River Estuary.2. Modeled_significant_wave_height_used_for_Figure_6_validation: Time-series data of significant wave height at a buoy location in the estuary.3. Modeled_inundation_depth_used_for_Figure_7_validation: Spatial data of flood depths across the Macao Peninsula at specific survey points.
Authors
- Dao, Fuhai