World's Best Scientists 2026 revealed!

D-Index & Metrics

Earth Science

D-Index
58
Citations
12733
World Ranking
2145
National Ranking
138

Overview

Chong Xu is affiliated with the China Earthquake Administration in China and has a substantial body of research primarily focused on environmental science, engineering, and earth and planetary sciences. Their work intersects several fields and subfields, reflecting a multidisciplinary approach to geophysical and environmental hazards.

The scientist's main fields of study include:

  • Environmental Science
  • Engineering
  • Earth and Planetary Sciences

Within these broad disciplines, Chong Xu focuses on subfields such as:

  • Management, Monitoring, Policy and Law
  • Global and Planetary Change
  • Atmospheric Science
  • Mechanical Engineering
  • Geophysics

Their research topics predominantly cover:

  • Landslides and related hazards
  • Flood Risk Assessment and Management
  • Cryospheric studies and observations
  • Fire effects on ecosystems
  • Tree Root and Stability Studies
  • Earthquake and tectonic studies
  • Geotechnical Engineering and Analysis

Chong Xu has contributed numerous publications to multiple specialized journals. Frequent publication venues include:

  • Natural Hazards Research
  • Remote Sensing
  • Frontiers in Earth Science
  • Landslides
  • IOP Conference Series Earth and Environmental Science

Recent significant papers authored or co-authored by Chong Xu encompass:

  • "Automatic Mapping of Landslides by the ResU-Net" (2020, Remote Sensing)
  • "Earthquake-induced landslides susceptibility assessment: A review of the state-of-the-art" (2022, Natural Hazards Research)
  • "Landslide Detection Based on ResU-Net with Transformer and CBAM Embedded: Two Examples with Geologically Different Environments" (2022, Remote Sensing)
  • "Comparative Study of Convolutional Neural Network and Conventional Machine Learning Methods for Landslide Susceptibility Mapping" (2022, Remote Sensing)
  • "An open-accessed inventory of landslides triggered by the MS 6.8 Luding earthquake, China on September 5, 2022" (2022, Earthquake research advances)

Chong Xu collaborates regularly with several co-authors, including:

  • Xiaoyi Shao
  • Yuandong Huang
  • Xiwei Xu
  • Siyuan Ma
  • Xiangli He

Best Publications

  • Earthquake-Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts

    Xuanmei Fan;Gianvito Scaringi;Gianvito Scaringi;Oliver Korup;A. Joshua West

  • Spatial distribution of landslides triggered by the 2008 Ms 8.0 Wenchuan earthquake, China

    F.C. Dai;C. Xu;X. Yao;L. Xu

  • Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis

    Chong Xu;Xiwei Xu;Xin Yao;Fuchu Dai

  • GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China

    Chong Xu;Chong Xu;Fuchu Dai;Xiwei Xu;Yuan Hsi Lee

  • Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines

    Haoyuan Hong;Biswajeet Pradhan;Chong Xu;Dieu Tien Bui

  • Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran

    Hamid Reza Pourghasemi;Abbas Goli Jirandeh;Biswajeet Pradhan;Chong Xu

  • Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China

    Chong Xu;Xiwei Xu;Fuchu Dai;Arun K. Saraf

  • Lushan M S7.0 earthquake: A blind reserve-fault event

    XiWei Xu;XueZe Wen;ZhuJun Han;GuiHua Chen

  • Database and spatial distribution of landslides triggered by the Lushan, China Mw 6.6 earthquake of 20 April 2013

    Chong Xu;Chong Xu;Xiwei Xu;J. Bruce H. Shyu

  • Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy

    Haoyuan Hong;Wei Chen;Chong Xu;Ahmed M. Youssef

  • Applying genetic algorithms to set the optimal combination of forest fire related variables and model forest fire susceptibility based on data mining models. The case of Dayu County, China.

    Haoyuan Hong;Paraskevas Tsangaratos;Ioanna Ilia;Junzhi Liu

  • Preparation of earthquake-triggered landslide inventory maps using remote sensing and GIS technologies: Principles and case studies

    Chong Xu

  • Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China

    Paraskevas Tsangaratos;Paraskevas Tsangaratos;Ioanna Ilia;Haoyuan Hong;Wei Chen

  • Landslide hazard mapping using GIS and weight of evidence model in Qingshui River watershed of 2008 Wenchuan earthquake struck region

    Chong Xu;Chong Xu;Xiwei Xu;Fuchu Dai;Jianzhang Xiao

  • Application of an incomplete landslide inventory, logistic regression model and its validation for landslide susceptibility mapping related to the May 12, 2008 Wenchuan earthquake of China

    Chong Xu;Chong Xu;Xiwei Xu;Fuchu Dai;Zhide Wu

  • Landslides triggered by slipping-fault-generated earthquake on a plateau: an example of the 14 April 2010, Ms 7.1, Yushu, China earthquake

    Chong Xu;Xiwei Xu;Guihua Yu

  • Landslides triggered by the 22 July 2013 Minxian–Zhangxian, China, Mw 5.9 earthquake: Inventory compiling and spatial distribution analysis

    Chong Xu;Chong Xu;Xiwei Xu;J. Bruce H. Shyu;Wenjun Zheng

  • Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines.

    Haoyuan Hong;Biswajeet Pradhan;Mustafa Neamah Jebur;Dieu Tien Bui

  • Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)

    Haoyuan Hong;Biswajeet Pradhan;Dieu Tien Bui;Chong Xu

  • Inventory and Spatial Distribution of Landslides Triggered by the 8th August 2017 M W 6.5 Jiuzhaigou Earthquake, China

    Yingying Tian;Chong Xu;Siyuan Ma;Xiwei Xu

  • A hybrid fuzzy weight of evidence method in landslide susceptibility analysis on the Wuyuan area, China

    Haoyuan Hong;Haoyuan Hong;Ioanna Ilia;Ioanna Ilia;Paraskevas Tsangaratos;Paraskevas Tsangaratos;Wei Chen

Frequent Co-Authors

Xiwei Xu
Xiwei Xu Commonwealth Scientific and Industrial Research Organisation
Haoyuan Hong
Haoyuan Hong Nanjing University of Information Science and Technology
Fuchu Dai
Fuchu Dai Beijing University of Technology
Wei Chen
Wei Chen Zhejiang University
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Randall W. Jibson
Randall W. Jibson United States Geological Survey
Olivier Bellier
Olivier Bellier Aix-Marseille University
Hamid Reza Pourghasemi
Hamid Reza Pourghasemi Shiraz University
A-Xing Zhu
A-Xing Zhu University of Wisconsin–Madison

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Earth Science opens doors to diverse careers, but many students also explore complementary fields that expand their expertise and job prospects. For instance, veterans interested in broadening their skills might consider online Spanish degrees for veterans, which can enhance communication abilities in global environmental projects.

Creative professionals looking to blend scientific knowledge with artistic expression may find value in pursuing an online MFA, combining analytical and creative skills for roles in environmental education or media.

Additionally, leadership and organizational roles within environmental agencies can benefit from an advanced business perspective, achievable through the best online human resource management masters degree. This pathway aids in managing teams and projects effectively.

Finally, many seniors who wish to continue studying might explore online degree programs for seniors, offering flexible learning options to stay engaged in Earth Science or related disciplines at any stage of life.

Best Scientists Citing Chong Xu

Trending Scientists