World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
11439
World Ranking
3296
National Ranking
1594

Overview

Guijun Yang is affiliated with the Center for Information Technology in the United States and has contributed extensively to research in environmental science and agricultural and biological sciences. Their work frequently addresses topics intersecting remote sensing technologies with agriculture and environmental monitoring.

The main fields of study for Yang include:

  • Environmental Science
  • Agricultural and Biological Sciences

Their research spans several subfields, notably:

  • Ecology
  • Plant Science
  • Environmental Engineering
  • Global and Planetary Change
  • Analytical Chemistry

The primary topics of Yang's research focus on:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Spectroscopy and Chemometric Analyses
  • Smart Agriculture and AI
  • Leaf Properties and Growth Measurement
  • Remote Sensing and Land Use
  • Land Use and Ecosystem Services

Yang has published prolifically in venues that are prominent in the fields of remote sensing and agricultural technology. Frequent publication venues include:

  • Computers and Electronics in Agriculture
  • Remote Sensing
  • SSRN Electronic Journal
  • European Journal of Agronomy
  • Frontiers in Plant Science

Recent notable papers authored by Guijun Yang include:

  • A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades (2020, Remote Sensing)
  • An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives (2021, European Journal of Agronomy)
  • Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data (2020, Sensors)
  • Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images (2020, Sensors)
  • Remote-sensing estimation of potato above-ground biomass based on spectral and spatial features extracted from high-definition digital camera images (2022, Computers and Electronics in Agriculture)

Yang often collaborates with a consistent group of co-authors, including:

  • Haikuan Feng
  • Hao Yang
  • Chunjiang Zhao
  • Riqiang Chen
  • Zhenhai Li

Best Publications

  • Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

    Guijun Yang;Jiangang Liu;Chunjiang Zhao;Zhenhong Li

  • A review of data assimilation of remote sensing and crop models

    Xiuliang Jin;Lalit Kumar;Zhenhai Li;Haikuan Feng

  • Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

    Liang Han;Liang Han;Liang Han;Guijun Yang;Huayang Dai;Bo Xu

  • Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices

    Jibo Yue;Jibo Yue;Jibo Yue;Guijun Yang;Qingjiu Tian;Qingjiu Tian;Haikuan Feng

  • Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models

    Jibo Yue;Guijun Yang;Changchun Li;Zhenhai Li

  • Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models

    Huanhuan Yuan;Guijun Yang;Changchun Li;Yanjie Wang

  • Winter wheat biomass estimation based on spectral indices, band depth analysis and partial least squares regression using hyperspectral measurements

    Yuanyuan Fu;Guijun Yang;Jihua Wang;Xiaoyu Song

  • A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades

    Ning Zhang;Guijun Yang;Yuchun Pan;Xiaodong Yang

  • A comparison of regression techniques for estimation of above-ground winter wheat biomass using near-surface spectroscopy

    Jibo Yue;Haikuan Feng;Guijun Yang;Zhenhai Li

  • A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera

    Jibo Yue;Haikuan Feng;Xiuliang Jin;Huanhuan Yuan

  • Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression

    Xinchuan Li;Youjing Zhang;Yansong Bao;Juhua Luo

  • An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives

    Yuanyuan Fu;Guijun Yang;Ruiliang Pu;Zhenhai Li

  • Combined Multi-Temporal Optical and Radar Parameters for Estimating LAI and Biomass in Winter Wheat Using HJ and RADARSAR-2 Data

    Xiuliang Jin;Guijun Yang;Xingang Xu;Hao Yang

  • Winter wheat yield estimation based on multi-source medium resolution optical and radar imaging data and the AquaCrop model using the particle swarm optimization algorithm

    Xiuliang Jin;Xiuliang Jin;Zhenhai Li;Guijun Yang;Hao Yang

  • Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data.

    Huilin Tao;Haikuan Feng;Liangji Xu;Mengke Miao

  • Multi-GNSS precise point positioning for precision agriculture

    Jing Guo;Jing Guo;Xingxing Li;Zhenhong Li;Leyin Hu

  • Assessment of defoliation during the Dendrolimus tabulaeformis Tsai et Liu disaster outbreak using UAV-based hyperspectral images

    Ning Zhang;Xiaoli Zhang;Guijun Yang;Chenghao Zhu

  • Comparison between wavelet spectral features and conventional spectral features in detecting yellow rust for winter wheat

    Jingcheng Zhang;Lin yuan;Ruiliang Pu;Rebecca W. Loraamm

  • Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images.

    Huilin Tao;Haikuan Feng;Liangji Xu;Mengke Miao

  • A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems

    Wenjing Li;Beth Clark;James A. Taylor;James A. Taylor;Helen Kendall

  • Estimation of Winter Wheat Biomass and Yield by Combining the AquaCrop Model and Field Hyperspectral Data

    Xiuliang Jin;Lalit Kumar;Zhenhai Li;Xingang Xu

  • Wheat lodging monitoring using polarimetric index from RADARSAT-2 data

    Hao Yang;Hao Yang;Erxue Chen;Zengyuan Li;Chunjiang Zhao

Frequent Co-Authors

Wenjiang Huang
Wenjiang Huang Chinese Academy of Sciences
Zhenhong Li
Zhenhong Li Chang'an University
Ruiliang Pu
Ruiliang Pu University of South Florida
Lynn J. Frewer
Lynn J. Frewer Newcastle University
Qinhuo Liu
Qinhuo Liu Chinese Academy of Sciences
Xiaowen Li
Xiaowen Li Tsinghua University
Liangyun Liu
Liangyun Liu Chinese Academy of Sciences
Zhonghu He
Zhonghu He Chinese Academy of Agricultural Sciences
Xianchun Xia
Xianchun Xia Civil Aviation Authority of Singapore
Dewei Zhao
Dewei Zhao Sichuan University

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