Automated Author Profile

Gao, Xinliang

Current S-Index

2.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

81.7%

Average FAIR Score per dataset

Total Citations

3

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Simulation dataset of "Butterfly distributions of energetic electrons driven by ducted and nonducted chorus waves"

"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
0 Citations0 Mentions79% FAIR0.5 Dataset Index
10.5281/zenodo.104949342024

Simulation dataset of "Butterfly distributions of energetic electrons driven by ducted and nonducted chorus waves"

"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
1 Citation0 Mentions79% FAIR0.8 Dataset Index
10.5281/zenodo.104949352024

Introducing nano-VC precipitates makes ultrafine bainitic steel a better combination of strength, ductility, and toughness

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
1 Citation0 Mentions85% FAIR0.8 Dataset Index
10.6084/m9.figshare.265022682024

Introducing nano-VC precipitates makes ultrafine bainitic steel a better combination of strength, ductility, and toughness

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
1 Citation0 Mentions85% FAIR0.8 Dataset Index
10.6084/m9.figshare.26502268.v12024