Automated Author ProfileGao, Xinliang
Gao, Xinliang
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: 2.9 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
"Runj_bx.dat", "Runj_by.dat", "Runj_bz.dat" store two dimensional arrays corresponding to three components of the magnetic field (in field-aligned coordinates) at t = 0.2 s in Runj (j = 1, 2, 3)."Runj_amp_wna.dat" stores the magnetic latitudes, average magnetic amplitudes, and wave normal angles in Runj (j = 1, 3)."Runj_electron.dat" stores three dimensional arrays ([parameter number=5, number of electron=135,000, number of time points=952]) corresponding to informations of test electrons in Runj (j = 1, 2, 3). The locations p, q and velocities vpar, vper1, vper2 of test electrons in different time points are recorded in turn.p and q are desribed in Lu et al. (2019) (https://doi.org/10.1029/2019ja026586).vpar: parallel velocity.vper1 and vper2: two components of perpendicular velocity.
Authors
- Ke, Yangguang ;
- Gao, Xinliang ;
- Lu, Quanming ;
- Wang, Xueyi ;
- Chen, Rui
"Runj_bx.dat", "Runj_by.dat", "Runj_bz.dat" store two dimensional arrays corresponding to three components of the magnetic field (in field-aligned coordinates) at t = 0.2 s in Runj (j = 1, 2, 3)."Runj_amp_wna.dat" stores the magnetic latitudes, average magnetic amplitudes, and wave normal angles in Runj (j = 1, 3)."Runj_electron.dat" stores three dimensional arrays ([parameter number=5, number of electron=135,000, number of time points=952]) corresponding to informations of test electrons in Runj (j = 1, 2, 3). The locations p, q and velocities vpar, vper1, vper2 of test electrons in different time points are recorded in turn.p and q are desribed in Lu et al. (2019) (https://doi.org/10.1029/2019ja026586).vpar: parallel velocity.vper1 and vper2: two components of perpendicular velocity.
Authors
- Ke, Yangguang ;
- Gao, Xinliang ;
- Lu, Quanming ;
- Wang, Xueyi ;
- Chen, Rui
Simultaneously enhancing the strength, plasticity, and toughness of metal materials has been a prominent research objective. In this study, the precipitation of nano-scale vanadium carbide particles at a lower tempering temperature is controlled to achieve three key benefits: reducing lattice distortion in bainitic ferrite, strengthening through precipitation, and enhancing the toughness of bainitic ferrite, while also maintaining the content and stability of retained austenite. The adopted procedure increases the comprehensive mechanical properties of steel by 17%. In particular, the room-temperature impact toughness is increased by 41%. This comprehensive microstructure optimization endows bainitic steel with an excellent combination of mechanical properties.
Authors
- Liang, Zhuanqin ;
- Li, Hongguang ;
- Chen, Cuicui ;
- Fu, Huajun ;
- Feng, Xiaoyong ;
- Gao, Xinliang ;
- Yang, Zhinan ;
- Zhang, Fucheng
Simultaneously enhancing the strength, plasticity, and toughness of metal materials has been a prominent research objective. In this study, the precipitation of nano-scale vanadium carbide particles at a lower tempering temperature is controlled to achieve three key benefits: reducing lattice distortion in bainitic ferrite, strengthening through precipitation, and enhancing the toughness of bainitic ferrite, while also maintaining the content and stability of retained austenite. The adopted procedure increases the comprehensive mechanical properties of steel by 17%. In particular, the room-temperature impact toughness is increased by 41%. This comprehensive microstructure optimization endows bainitic steel with an excellent combination of mechanical properties.
Authors
- Liang, Zhuanqin ;
- Li, Hongguang ;
- Chen, Cuicui ;
- Fu, Huajun ;
- Feng, Xiaoyong ;
- Gao, Xinliang ;
- Yang, Zhinan ;
- Zhang, Fucheng