Automated Author Profile
Yan, Na
University of Leeds
0000-0003-1790-5861

Current S-Index

3.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.6

Average Dataset Index per dataset

Total Datasets

Total datasets for this author

Average FAIR Score

76.9%

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: 3.3 (sum of 2 datasets Dataset Index scores)

More information here.

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

DASH_v1.0 source code

DASH source code in company with submitted article for Computer & Geoscience

Authors

Yan, Na

1 Citation0 Mentions77% FAIR2.3 Dataset Index

10.5518/1448January 2023

Data summary of 34 meander-belt cases simulated by PB-SAND model

Data summary of 34 meander-belt cases simulated by PB-SAND model, including preservation ratio for different architectural hierarchies (accretion package pairs, accretion stages and meander belts), their accumulation time, accretion rate, and platform characteristics (apex rotation, channel sinuosity, and migration angle).