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Shanling Peng

Biographic Data

ID7941629
NAMEShanling Peng
GIVEN NAMESShanling
FAMILY NAMEPeng
SIGNATUREPENG S
AFFILIATIONSEast China University of Technology
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Effect of attribution training on early postoperative depression of kidney transplant recipients

    Open Access•Ying Han, Yue Kong et al.•ARTICLE•Current Psychology•2022

  • Zonation of Landslide Susceptibility in Ruijin, Jiangxi, China

    Open Access•Xiaoting Zhou, Weicheng Wu et al.•ARTICLE•International Journal of…•2021

    Landslides are one of the major geohazards threatening human society. The objective of this study was to conduct a landslide hazard susceptibility assessment for Ruijin, Jiangxi, China, and to provide technical support to the local government for implementing disaster reduction and prevention measures. Machine learning approaches, e.g., random forests (RFs) and support vector machines (SVMs) were employed and multiple geo-environmental factors su…

  • Mapping Landslide Hazard Risk Using Random Forest Algorithm in Guixi, Jiangxi, China

    Open Access•Yang Zhang, Weicheng Wu et al.•ARTICLE•ISPRS International Journal of…•2020

    Landslide hazards affect the security of human life and property. Mapping the spatial distribution of landslide hazard risk is critical for decision-makers to implement disaster prevention measures. This study aimed to predict and zone landslide hazard risk, using Guixi County in eastern Jiangxi, China, as an example. An integrated dataset composed of 21 geo-information layers, including lithology, rainfall, altitude, slope, distances to faults, …

No prominent works on this page.

  • Mapping Landslide Hazard Risk Using Random Forest Algorithm in Guixi, Jiangxi, China

    Open Access•Yang Zhang, Weicheng Wu et al.•ARTICLE•ISPRS International Journal of…•2020

    Landslide hazards affect the security of human life and property. Mapping the spatial distribution of landslide hazard risk is critical for decision-makers to implement disaster prevention measures. This study aimed to predict and zone landslide hazard risk, using Guixi County in eastern Jiangxi, China, as an example. An integrated dataset composed of 21 geo-information layers, including lithology, rainfall, altitude, slope, distances to faults, …

  • Zonation of Landslide Susceptibility in Ruijin, Jiangxi, China

    Open Access•Xiaoting Zhou, Weicheng Wu et al.•ARTICLE•International Journal of…•2021

    Landslides are one of the major geohazards threatening human society. The objective of this study was to conduct a landslide hazard susceptibility assessment for Ruijin, Jiangxi, China, and to provide technical support to the local government for implementing disaster reduction and prevention measures. Machine learning approaches, e.g., random forests (RFs) and support vector machines (SVMs) were employed and multiple geo-environmental factors su…

  • Effect of attribution training on early postoperative depression of kidney transplant recipients

    Open Access•Ying Han, Yue Kong et al.•ARTICLE•Current Psychology•2022

Cartography (2 works) · Civil engineering (2 works) · Computer Science (2 works) · Engineering (2 works) · Geography (2 works) · Geology (2 works) · Hazard (2 works) · Landslide (2 works) · Landslides and related hazards (2 works) · Lithology (2 works)

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