World's Best Scientists 2026 revealed!

D-Index & Metrics

Earth Science

D-Index
34
Citations
3845
World Ranking
8061
National Ranking
520

Overview

Guangcai Feng is affiliated with Central South University in China. Their research spans the fields of Earth and Planetary Sciences and Engineering, with a substantial body of work published across these domains.

Their main fields of study include:

  • Earth and Planetary Sciences
  • Engineering

Within these fields, Feng has focused on several subfields of study:

  • Geophysics
  • Aerospace Engineering
  • Atmospheric Science
  • Management, Monitoring, Policy and Law
  • Environmental Engineering

Their research topics are diverse but centered on remote sensing and geophysical phenomena. Key topics covered in their publications include:

  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Earthquake and tectonic studies
  • Cryospheric studies and observations
  • Landslides and related hazards
  • Earthquake Detection and Analysis
  • Advanced SAR Imaging Techniques
  • Soil Moisture and Remote Sensing

Feng has contributed extensively to scientific literature, with recent notable publications such as:

  • Pre- and post-failure spatial-temporal deformation pattern of the Baige landslide retrieved from multiple radar and optical satellite images (2020), published in Engineering Geology
  • Coseismic and Early Postseismic Slip Models of the 2021 Mw 7.4 Maduo Earthquake (Western China) Estimated by Space-Based Geodetic Data (2021), published in Geophysical Research Letters
  • Complete three-dimensional coseismic displacements due to the 2021 Maduo earthquake in Qinghai Province, China from Sentinel-1 and ALOS-2 SAR images (2022), published in Science China Earth Sciences
  • Displacement history and potential triggering factors of Baige landslides, China revealed by optical imagery time series (2020), published in Remote Sensing of Environment
  • Coseismic Kinematics of the 2023 Kahramanmaras, Turkey Earthquake Sequence From InSAR and Optical Data (2023), published in Geophysical Research Letters

Their publication venues most frequently include:

  • Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • National Remote Sensing Bulletin
  • Sensors
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Feng has collaborated regularly with a group of coauthors, including:

  • Zhiwei Li
  • Zhiqiang Xiong
  • Yuedong Wang
  • Lijia He
  • Wenbin Xu

Best Publications

  • Atmospheric effects on InSAR measurements and their mitigation

    Xiao-li Ding;Zhi-wei Li;Jian-jun Zhu;Guang-cai Feng

  • Mapping ground surface deformation using temporarily coherent point SAR interferometry: Application to Los Angeles Basin

    Lei Zhang;Zhong Lu;Xiaoli Ding;Hyung-sup Jung

  • Monitoring surface deformation over permafrost with an improved SBAS-InSAR algorithm: With emphasis on climatic factors modeling

    Rong Zhao;Zhi-wei Li;Guang-cai Feng;Qi-jie Wang

  • Coseismic fault slip of the 2008 Mw 7.9 Wenchuan earthquake estimated from InSAR and GPS measurements

    GuangCai Feng;Eric A. Hetland;XiaoLi Ding;ZhiWei Li

  • Earthquake-triggered 2018 Palu Valley landslides enabled by wet rice cultivation

    Kyle E Bradley;Rishav Mallick;Harisma Andikagumi;Judith Hubbard

  • Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model

    Ze Fa Yang;Zhiwei Li;Jianjun Zhu;Huiwei Yi

  • Coastal Subsidence Monitoring Associated with Land Reclamation Using the Point Target Based SBAS-InSAR Method: A Case Study of Shenzhen, China

    Bing Xu;Guangcai Feng;Zhiwei Li;Qijie Wang

  • Transpressional Rupture Cascade of the 2016 Mw 7.8 Kaikoura Earthquake, New Zealand

    Wenbin Xu;Guangcai Feng;Lingsen Meng;Ailin Zhang

  • Geodetic model of the 2015 April 25 Mw 7.8 Gorkha Nepal Earthquake and Mw 7.3 aftershock estimated from InSAR and GPS data

    Guangcai Feng;Zhiwei Li;Xinjian Shan;Lei Zhang

  • A Novel Multitemporal InSAR Model for Joint Estimation of Deformation Rates and Orbital Errors

    Lei Zhang;Xiaoli Ding;Zhong Lu;Hyung-Sup Jung

  • InSAR analysis of surface deformation over permafrost to estimate active layer thickness based on one-dimensional heat transfer model of soils.

    Zhiwei Li;Rong Zhao;Jun Hu;Lianxing Wen

  • Correcting atmospheric effects on InSAR with MERIS water vapour data and elevation‐dependent interpolation model

    Z. W. Li;Wenbin Xu;Wenbin Xu;G. C. Feng;J. Hu

  • Coseismic and Early Postseismic Slip Models of the 2021 Mw 7.4 Maduo Earthquake (Western China) Estimated by Space‐Based Geodetic Data

    Unknown

  • Toward full exploitation of coherent and incoherent information in Sentinel-1 TOPS data for retrieving surface displacement: Application to the 2016 Kumamoto (Japan) earthquake

    Houjun Jiang;Guangcai Feng;Teng Wang;Teng Wang;Roland Bürgmann

  • Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China

    Huiqiang Wang;Guangcai Feng;Bing Xu;Yongping Yu

  • Calibration of an InSAR-Derived Coseimic Deformation Map Associated With the 2011 Mw-9.0 Tohoku-Oki Earthquake

    Guangcai Feng;Xiaoli Ding;Zhiwei Li;Jiang Mi

  • Pre- and post-failure spatial-temporal deformation pattern of the Baige landslide retrieved from multiple radar and optical satellite images

    Zhiqiang Xiong;Guangcai Feng;Zhixiong Feng;Lu Miao

  • Complete three-dimensional coseismic displacements due to the 2021 Maduo earthquake in Qinghai Province, China from Sentinel-1 and ALOS-2 SAR images

    Unknown

  • Locating and defining underground goaf caused by coal mining from space-borne SAR interferometry

    Zefa Yang;Zefa Yang;Zhiwei Li;Jianjun Zhu;Huiwei Yi

  • Coseismic Kinematics of the 2023 Kahramanmaras, Turkey Earthquake Sequence From InSAR and Optical Data

    Unknown

  • Modeling minimum and maximum detectable deformation gradients of interferometric SAR measurements

    Mi Jiang;Mi Jiang;Zhiwei Li;Xiaoli Ding;Xiaoli Ding;Jianjun Zhu

  • Stochastic modeling for time series InSAR: with emphasis on atmospheric effects

    Yunmeng Cao;Zhiwei Li;Jianchao Wei;Jun Hu

  • Spatio-Temporal Error Sources Analysis and Accuracy Improvement in Landsat 8 Image Ground Displacement Measurements

    Chao Ding;Guangcai Feng;Zhiwei Li;Xinjian Shan

Frequent Co-Authors

Zhiwei Li
Zhiwei Li Central South University
Xiaoli Ding
Xiaoli Ding Hong Kong Polytechnic University
Sigurjón Jónsson
Sigurjón Jónsson King Abdullah University of Science and Technology
Lin Liu
Lin Liu Chinese Academy of Sciences
Roland Bürgmann
Roland Bürgmann University of California, Berkeley
Mingsheng Liao
Mingsheng Liao Wuhan University
Zhong Lu
Zhong Lu Southern Methodist University
Ziyadin Cakir
Ziyadin Cakir Istanbul Technical University
Yann Klinger
Yann Klinger Institut de Physique du Globe de Paris
Semih Ergintav
Semih Ergintav Kandilli Observatory and Earthquake Research Institute

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