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Automated Author Profile
Jinghong Li

Current S-Index

1.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.9

Average Dataset Index per dataset

Total Datasets

Total datasets for this author

Average FAIR Score

37.5%

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: 1.9 (sum of 2 datasets Dataset Index scores)

More information here.

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Five new species of the genus Stigmus Panzer (Hymenoptera, Crabronidae) from China, with a key to all Chinese species

This dataset contains the digitized treatments in Plazi based on the original journal article Li, Jinghong, Li, Qiang, Ma, Li (2024): Five new species of the genus Stigmus Panzer (Hymenoptera, Crabronidae) from China, with a key to all Chinese species. ZooKeys 1204: 313-336, DOI: 10.3897/zookeys.1204.123831

Authors

Jinghong Li ;
Li, Qiang ;
Ma, Li

0 Citations0 Mentions62% FAIR1.5 Dataset Index

10.15468/z3gyfvJanuary 2024

Five new species of Passaloecus Shuckard (Hymenoptera, Crabronidae) from China, with a key to Chinese species

This dataset contains the digitized treatments in Plazi based on the original journal article Li, Jinghong, Ma, Li, Li, Qiang (2024): Five new species of Passaloecus Shuckard (Hymenoptera, Crabronidae) from China, with a key to Chinese species. Journal of Hymenoptera Research 97: 1141-1161, DOI: 10.3897/jhr.97.135489