Automated Author ProfileLi, Kai
Affiliated Zhongshan Hospital of Dalian UniversityBeijing Forestry UniversityEast China Normal UniversityFirst Affiliated Hospital of Jinan UniversityFirst Affiliated Hospital of Xi'an Jiaotong UniversityFirst Hospital of China Medical UniversityGuangdong Academy of Medical SciencesGuangzhou University of Chinese MedicineHarbin Veterinary Research InstituteHebei Medical UniversityHubei University of MedicineJiangsu Province HospitalNanjing Agricultural UniversityNanyang Institute of TechnologyNorth West Agriculture and Forestry UniversityRenmin Hospital of Wuhan UniversitySecond Affiliated Hospital of Nanchang UniversitySouthern University of Science and TechnologySun Yat-sen UniversitySun Yat-sen University Cancer CenterVisterra (United States)Xi'an University of Architecture and Technology
Li, Kai
Affiliated Zhongshan Hospital of Dalian UniversityBeijing Forestry UniversityEast China Normal UniversityFirst Affiliated Hospital of Jinan UniversityFirst Affiliated Hospital of Xi'an Jiaotong UniversityFirst Hospital of China Medical UniversityGuangdong Academy of Medical SciencesGuangzhou University of Chinese MedicineHarbin Veterinary Research InstituteHebei Medical UniversityHubei University of MedicineJiangsu Province HospitalNanjing Agricultural UniversityNanyang Institute of TechnologyNorth West Agriculture and Forestry UniversityRenmin Hospital of Wuhan UniversitySecond Affiliated Hospital of Nanchang UniversitySouthern University of Science and TechnologySun Yat-sen UniversitySun Yat-sen University Cancer CenterVisterra (United States)Xi'an University of Architecture and Technology
Current S-Index
0.0
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.0
Average Dataset Index per dataset
Total Datasets
0
Total datasets for this author
Average FAIR Score
0.0%
Average FAIR Score per dataset
Total Citations
0
Total citations to the author's datasets
Total Mentions
0
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: 0.0 (sum of 0 datasets Dataset Index scores)
More information here.