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D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
10304
World Ranking
2554
National Ranking
132

Overview

Jinsong Huang is affiliated with the University of Newcastle Australia and has an extensive research profile primarily situated in the fields of Engineering and Environmental Science. Their work frequently addresses issues related to landslides, geotechnical engineering, and related hazard assessment and management.

The main topics covered in their research include:

  • Landslides and related hazards
  • Geotechnical Engineering and Analysis
  • Dam Engineering and Safety
  • Soil and Unsaturated Flow
  • Cryospheric studies and observations
  • Geotechnical Engineering and Underground Structures
  • Tree Root and Stability Studies

Within these broad topics, Huang's subfields of study emphasize Civil and Structural Engineering, Safety, Risk, Reliability and Quality, Management, Monitoring, Policy and Law, Mechanical Engineering, and Atmospheric Science.

Huang has contributed to research published in a variety of academic venues with recurrent appearances in:

  • Engineering Geology
  • Journal of Rock Mechanics and Geotechnical Engineering
  • Computers and Geotechnics
  • Geoscience Frontiers
  • SSRN Electronic Journal

Frequent collaborators include Shui-Hua Jiang, Faming Huang, Filippo Catani, Zhilu Chang, and Jiawei Xie, reflecting ongoing collaborative efforts in related domains.

Among their recent papers are several that focus on landslide susceptibility, artificial intelligence applications in geotechnical contexts, and risk analysis:

  • "Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory," 2020, Technology in Society
  • "Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model," 2020, Landslides
  • "Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management," 2021, Geoscience Frontiers
  • "Advances in reliability and risk analyses of slopes in spatially variable soils: A state-of-the-art review," 2021, Computers and Geotechnics
  • "A comparative study of different machine learning methods for reservoir landslide displacement prediction," 2022, Engineering Geology

Best Publications

  • Influence of spatial variability on slope reliability using 2-D random fields.

    D. V. Griffiths;D. V. Griffiths;Jinsong Huang;Jinsong Huang;Gordon A. Fenton;Gordon A. Fenton

  • A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction

    Faming Huang;Jing Zhang;Chuangbing Zhou;Yuhao Wang

  • Probabilistic infinite slope analysis

    D.V. Griffiths;Jinsong Huang;Gordon A. Fenton

  • Landslide displacement prediction based on multivariate chaotic model and extreme learning machine

    Faming Huang;Jinsong Huang;Jinsong Huang;Shuihua Jiang;Chuangbing Zhou;Chuangbing Zhou

  • Quantitative risk assessment of landslide by limit analysis and random fields

    J. Huang;A.V. Lyamin;D.V. Griffiths;D.V. Griffiths;K. Krabbenhoft

  • Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model

    Faming Huang;Zhongshan Cao;Shui-Hua Jiang;Chuangbing Zhou

  • SYSTEM RELIABILITY OF SLOPES BY RFEM

    Jinsong Huang;D. V. Griffiths;Gordon A. Fenton

  • Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine

    Faming Huang;Kunlong Yin;Jinsong Huang;Lei Gui

  • Efficient slope reliability analysis at low-probability levels in spatially variable soils

    Shui-Hua Jiang;Shui-Hua Jiang;Jin-Song Huang;Jin-Song Huang

  • Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management

    Zizheng Guo;Yu Shi;Faming Huang;Xuanmei Fan

  • Advances in reliability and risk analyses of slopes in spatially variable soils: A state-of-the-art review

    Shui-Hua Jiang;Jinsong Huang;Jinsong Huang;D.V. Griffiths;Zhi-Ping Deng

  • Simplified quantitative risk assessment of rainfall-induced landslides modelled by infinite slopes

    Abid Ali;Jinsong Huang;A.V. Lyamin;S.W. Sloan

  • Modelling of spatial variability of soil undrained shear strength by conditional random fields for slope reliability analysis

    Shui-Hua Jiang;Shui-Hua Jiang;Jinsong Huang;Jinsong Huang;Faming Huang;Jianhua Yang

  • Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models

    Unknown

  • Probabilistic Analysis of Coupled Soil Consolidation

    Jinsong Huang;Jinsong Huang;D. V. Griffiths;D. V. Griffiths;Gordon A. Fenton;Gordon A. Fenton

  • Efficient probabilistic back analysis of spatially varying soil parameters for slope reliability assessment

    Shui Hua Jiang;Shui Hua Jiang;Jinsong Huang;Jinsong Huang;Xiao-Hui Qi;Chuang-Bing Zhou

  • Determining an appropriate finite element size for modelling the strength of undrained random soils

    J. Huang;D.V. Griffiths;D.V. Griffiths

  • Uncertainties of landslide susceptibility prediction considering different landslide types

    Unknown

  • Initiation pressure, location and orientation of hydraulic fracture

    Jinsong Huang;D.V. Griffiths;Sau-Wai Wong

  • Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network

    Li Zhu;Lianghao Huang;Linyu Fan;Jinsong Huang

  • Granular contact dynamics using mathematical programming methods

    K. Krabbenhoft;K. Krabbenhoft;A.V. Lyamin;J. Huang;M. Vicente da Silva;M. Vicente da Silva

  • Quantitative risk assessment of slope failure in 2-D spatially variable soils by limit equilibrium method

    Shui-Hua Jiang;Shui-Hua Jiang;Shui-Hua Jiang;Jinsong Huang;Jinsong Huang;Chi Yao;Jianhua Yang

  • Numerical and analytical observations on long and infinite slopes

    D. V. Griffiths;Jinsong Huang;Giorgia F. deWolfe

  • Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide assessments

    Faming Huang;Faming Huang;Siyu Tao;Zhilu Chang;Jinsong Huang

Frequent Co-Authors

D. V. Griffiths
D. V. Griffiths Colorado School of Mines
Gordon A. Fenton
Gordon A. Fenton Dalhousie University
Scott W. Sloan
Scott W. Sloan University of Newcastle Australia
Andrei V. Lyamin
Andrei V. Lyamin University of Newcastle Australia
Mark Cassidy
Mark Cassidy University of Melbourne
Chuangbing Zhou
Chuangbing Zhou Nanchang University
Daichao Sheng
Daichao Sheng University of Technology Sydney
Qinghui Jiang
Qinghui Jiang Wuhan University
Huiming Tang
Huiming Tang China University of Geosciences
Weiping Liu
Weiping Liu Zhejiang University

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