Automated Author ProfileWang, Jun
Wang, Jun
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: 526.5 (sum of 331 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This spreadsheet presents an example of continous simulation procedures of the blue-green roof (BGR) system using the proposed hydrologic model at Guangzhou during the summer period (June to September) in the year 1980
Authors
- Wang, Jiachang ;
- Jiang, Enhui ;
- Wang, Jun ;
- Cao, Shengle ;
- Xin, Ruirui ;
- Yu, Lei ;
- Guo, Yiping ;
- Jun, Changhyun
This spreadsheet presents an example of continous simulation procedures of the blue-green roof (BGR) system using the proposed hydrologic model at Guangzhou during the summer period (June to September) in the year 1980
Authors
- Wang, Jiachang ;
- Jiang, Enhui ;
- Wang, Jun ;
- Cao, Shengle ;
- Xin, Ruirui ;
- Yu, Lei ;
- Guo, Yiping ;
- Jun, Changhyun
Supplementary Materials for Effectiveness of Learning Interventions for Skin of Color Dermatology in Medical Education: A Systematic Review
Authors
- Varambally, Meghna ;
- Tarafdar , Nawar ;
- Wang, Jun ;
- Vender, Ronald
Supplementary Materials for Effectiveness of Learning Interventions for Skin of Color Dermatology in Medical Education: A Systematic Review
Authors
- Varambally, Meghna ;
- Tarafdar , Nawar ;
- Wang, Jun ;
- Vender, Ronald
We have uploaded two types of simulation data in .MAT format:Time series of energy consumption, including coal, coke, electricity, hydrogen, and natural gas (see energy_*.mat).Time series of CO2 emissions (see co2_*.mat).Time series of crude steel production using three major steel production routes: BF-BOF, DRI-EAF, and scrap-based EAF (see steel_*.mat).All datasets cover the same time period (2015-2060) and scenario (CSD1, CSD2, CSD3, CSD4) and were generated using three major steel production routes: BF-BOF, DRI-EAF, and scrap-based EAF. Any questions please contact [email protected]
Authors
- Yue, Chao ;
- Zang, Jian ;
- He, Guangyan ;
- Liu, Xu ;
- Wang, Jun
We have uploaded two types of simulation data in .MAT format:Time series of energy consumption, including coal, coke, electricity, hydrogen, and natural gas (see energy_*.mat).Time series of CO2 emissions (see co2_*.mat).Time series of crude steel production using three major steel production routes: BF-BOF, DRI-EAF, and scrap-based EAF (see steel_*.mat).All datasets cover the same time period (2015-2060) and scenario (CSD1, CSD2, CSD3, CSD4) and were generated using three major steel production routes: BF-BOF, DRI-EAF, and scrap-based EAF. Any questions please contact [email protected]
Authors
- Yue, Chao ;
- Zang, Jian ;
- He, Guangyan ;
- Liu, Xu ;
- Wang, Jun
No description available
Authors
- Wang, Jun
Instructions and data for the paper 'Environmental, Social, and Governance Investing and Sustainability of Pension Funds: Evidence from the Organisation for Economic Cooperation and Development Countries'
Authors
- Otchere, Isaac ;
- Abdulrahman, Adam ;
- Wang, Jun
Instructions and data for the paper 'Environmental, Social, and Governance Investing and Sustainability of Pension Funds: Evidence from the Organisation for Economic Cooperation and Development Countries'
Authors
- Otchere, Isaac ;
- Abdulrahman, Adam ;
- Wang, Jun
Table S1. Identified proteins were quantified in milk casein micelles samples from human, Holstein cattle, buffalo, yak, camel, sheep, goat, horse, and donkey.Table S2. Differential abundant milk casein micelles proteins between human, Holstein cattle, buffalo, yak, camel, sheep, goat, horse, and donkey using a proteomic approach.Table S3. KEGG pathways of differential abundant milk casein micelles proteins between human and eight dairy animals.Figure S1. Cluster analysis of milk casein micelles proteome between human, Holstein cattle, buffalo, yak, camel, sheep, goat, horse, and donkey.
Authors
- Ji, Zhongyuan ;
- Dong, Ruifeng ;
- Du, Qijing ;
- Jiang, Hongning ;
- Fan, Rongbo ;
- Bu, Dengpan ;
- Yu, Zhongna ;
- Wang, Jun ;
- Han, Rongwei ;
- Yang, Yongxin