Automated Author ProfileCui, Qiang
Cui, Qiang
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: 30.6 (sum of 66 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Dataset S4 shows the concentrations, effective radiative forcing, and temperature differences at each altitude from 2025 to 2050. Dataset S5 presents the mortality rates for various diseases by airport, age group, and gender from 2025 to 2050. Dataset S6 summarizes the total costs and benefits under each scenario from 2025 to 2050.
Authors
- Cui, Qiang
Dataset S4 shows the concentrations, effective radiative forcing, and temperature differences at each altitude from 2025 to 2050. Dataset S5 presents the mortality rates for various diseases by airport, age group, and gender from 2025 to 2050. Dataset S6 summarizes the total costs and benefits under each scenario from 2025 to 2050.
Authors
- Cui, Qiang
The data of the airlines are shown in the table
Authors
- Cui, Qiang
The data of the airlines are shown in the table
Authors
- Cui, Qiang
The results of noise DALYs and emission public health are available in Data S1-S2
Authors
- Cui, Qiang
The results of noise DALYs and emission public health are available in Data S1-S2
Authors
- Cui, Qiang
The excess deaths of different diseases at different ages due to CO, NO2 and SO2 emissions from aviation under different scenarios are available in Data S1-1--Data S3-7.
Authors
- Cui, Qiang
The excess deaths of different diseases at different ages due to CO, NO2 and SO2 emissions from aviation under different scenarios are available in Data S1-1--Data S3-7.
Authors
- Cui, Qiang
Data S1 shows the emissions of global aviation from 2015 to 2022. Data S2 shows annual CO2 emissions from 2023 to 2080; Data S3 shows annual CH4 emissions from 2023 to 2080; Data S4 shows annual N2O emissions from 2023 to 2080; Data S5 shows annual CO2-equivalent emissions from 2023 to 2080.
Authors
- Cui, Qiang
Our computed results have been meticulously documented in two files. The first, "Supplementary Table 1-Monthly PM2.5 flow.xlsx," meticulously records the PM2.5 flow induced by aircraft at Chinese airports during the specified timeframe. The first column is the year and the second column of this document enumerates the corresponding three-character codes for each Chinese airport, as defined by the International Air Transport Association (IATA). The subsequent columns, spanning from the second to the thirteenth, encapsulate each airport's monthly PM2.5 flow data. Similarly, the second file, titled "Supplementary Table 2-Monthly PM2.5 concentration.xlsx," is a comprehensive summary of PM2.5 concentration values resulting from aircraft activities at Chinese airports within the mentioned timeframe. Mirroring the structure of the first document, the primary column designates the three-character codes for each airport, while the ensuing columns (second to thirteenth) meticulously outline the monthly PM2.5 concentration data produced by each airport.
Authors
- Cui, Qiang