World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
66
Citations
16487
World Ranking
2084
National Ranking
854

Overview

A-Xing Zhu is affiliated with the University of Wisconsin-Madison in the United States. Their research primarily spans the field of Environmental Science with a particular focus on subfields such as Environmental Engineering, Global and Planetary Change, Ecology, Soil Science, and Atmospheric Science.

Their main topics of scientific inquiry include:

  • Soil Geostatistics and Mapping
  • Hydrology and Watershed Management Studies
  • Soil erosion and sediment transport
  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Soil and Unsaturated Flow
  • Remote Sensing and LiDAR Applications

Among their recent published papers are:

  • "Mapping high resolution National Soil Information Grids of China," 2021, Science Bulletin
  • "Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble," 2020, The Science of The Total Environment
  • "CN-China: Revised runoff curve number by using rainfall-runoff events data in China," 2020, Water Research
  • "Low rank and collaborative representation for hyperspectral anomaly detection via robust dictionary construction," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "How is the Third Law of Geography different?," 2022, Annals of GIS

The scientist has frequently published in the following venues:

  • Annals of GIS
  • Geoderma
  • International Journal of Geographical Information Systems
  • Land
  • The Science of The Total Environment

Frequent co-authors collaborating with A-Xing Zhu include:

  • Cheng-Zhi Qin
  • Fang-He Zhao
  • Liang-Jun Zhu
  • Peng Liang
  • Lin Yang

Best Publications

  • Soil Mapping Using GIS, Expert Knowledge, and Fuzzy Logic

    A. X. Zhu;B. Hudson;J. Burt;K. Lubich

  • A China data set of soil properties for land surface modeling

    Wei Shangguan;Yongjiu Dai;Baoyuan Liu;Axing Zhu

  • Mapping high resolution National Soil Information Grids of China

    Feng Liu;Huayong Wu;Yuguo Zhao;Decheng Li

  • Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

    Haoyuan Hong;Haoyuan Hong;Junzhi Liu;Junzhi Liu;Dieu Tien Bui;Biswajeet Pradhan;Biswajeet Pradhan

  • Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China.

    Wei Chen;Jianbing Peng;Haoyuan Hong;Haoyuan Hong;Himan Shahabi

  • Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China.

    Haoyuan Hong;Paraskevas Tsangaratos;Ioanna Ilia;Junzhi Liu;Junzhi Liu

  • Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution.

    Haoyuan Hong;Haoyuan Hong;Mahdi Panahi;Ataollah Shirzadi;Tianwu Ma;Tianwu Ma

  • Multi-scale digital terrain analysis and feature selection for digital soil mapping

    Thorsten Behrens;A-Xing Zhu;A-Xing Zhu;Karsten Schmidt;Thomas Scholten

  • Derivation of Soil Properties Using a Soil Land Inference Model (SoLIM)

    A-Xing Zhu;Lawrence Band;Robert Vertessy;Barry Dutton

  • A similarity model for representing soil spatial information

    A-Xing Zhu

  • GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method

    Wei Chen;Xiaoshen Xie;Jianbing Peng;Himan Shahabi

  • Reflections and speculations on the progress in Geographic Information Systems (GIS): a geographic perspective

    Guonian Lü;Michael Batty;Josef Strobl;Hui Lin

  • Spatial prediction based on Third Law of Geography

    A‐Xing Zhu;Guonian Lu;Guonian Lu;Jing Liu;Cheng‐Zhi Qin

  • Developing a continental-scale measure of gross primary production by combining MODIS and AmeriFlux data through Support Vector Machine approach

    Feihua Yang;Feihua Yang;Kazuhito Ichii;Kazuhito Ichii;Michael A. White;Hirofumi Hashimoto;Hirofumi Hashimoto

  • An approach to computing topographic wetness index based on maximum downslope gradient

    Cheng-Zhi Qin;A-Xing Zhu;Tao Pei;Bao-Lin Li

  • An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic

    A-Xing Zhu;A-Xing Zhu;A-Xing Zhu;Rongxun Wang;Jianping Qiao;Cheng-Zhi Qin

  • Automated soil inference under fuzzy logic

    A. X. Zhu;L. E. Band;B. Dutton;T. J. Nimlos

  • The effects of DEM resolution and neighborhood size on digital soil survey

    Michael P. Smith;A-Xing Zhu;A-Xing Zhu;James E. Burt;Cynthia Stiles

  • Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods

    Tao Pei;Cheng-Zhi Qin;A-Xing Zhu;Lin Yang

  • Prediction of Continental-Scale Evapotranspiration by Combining MODIS and AmeriFlux Data Through Support Vector Machine

    Feihua Yang;M.A. White;A.R. Michaelis;K. Ichii

  • Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble.

    Haoyuan Hong;Junzhi Liu;Junzhi Liu;A-Xing Zhu

Frequent Co-Authors

Haoyuan Hong
Haoyuan Hong Nanjing University of Information Science and Technology
Chenghu Zhou
Chenghu Zhou Chinese Academy of Sciences
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Lawrence E. Band
Lawrence E. Band University of Virginia
Thomas Scholten
Thomas Scholten University of Tübingen
Thorsten Behrens
Thorsten Behrens University of Tübingen
Kazuhito Ichii
Kazuhito Ichii Chiba University
Karsten Schmidt
Karsten Schmidt University of Tübingen
Himan Shahabi
Himan Shahabi University of Kurdistan
Xinyue Ye
Xinyue Ye Texas A&M University

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