World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
11069
World Ranking
2839
National Ranking
568

Environmental Sciences

D-Index
59
Citations
13924
World Ranking
3072
National Ranking
314

Overview

Wenjiang Huang is affiliated with the Chinese Academy of Sciences in China, contributing extensively to research at the intersection of environmental science and agricultural and biological sciences. Their publication record includes over 300 works with a focus on remote sensing applications and ecological studies.

Their main fields of study include:

  • Environmental Science
  • Agricultural and Biological Sciences

Subfields of particular concentration are:

  • Ecology
  • Plant Science
  • Environmental Engineering
  • Global and Planetary Change
  • Ecological Modeling

Wenjiang Huang's research topics feature a strong emphasis on remote sensing technologies applied in agricultural contexts and ecological monitoring, notably focusing on:

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

Frequent publication venues for their work include:

  • Remote Sensing
  • Computers and Electronics in Agriculture
  • Frontiers in Plant Science
  • International Journal of Applied Earth Observation and Geoinformation
  • SSRN Electronic Journal

Wenjiang Huang's recent papers reflect their focus on utilizing remote sensing and hyperspectral technology in agricultural disease detection and monitoring. Selected works include:

  • Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology, 2021, Remote Sensing
  • Recognition of Banana Fusarium Wilt Based on UAV Remote Sensing, 2020, Remote Sensing
  • Identification of Wheat Yellow Rust Using Spectral and Texture Features of Hyperspectral Images, 2020, Remote Sensing
  • A Disease Index for Efficiently Detecting Wheat Fusarium Head Blight Using Sentinel-2 Multispectral Imagery, 2020, IEEE Access
  • Monitoring Wheat Fusarium Head Blight Using Unmanned Aerial Vehicle Hyperspectral Imagery, 2020, Remote Sensing

Their research collaborations include frequent coauthors such as:

  • Yingying Dong
  • Huichun Ye
  • Anting Guo
  • Huiqin Ma
  • Yu Ren

Best Publications

  • The genome of the pear (Pyrus bretschneideri Rehd.)

    Jun Wu;Zhiwen Wang;Zebin Shi;Shu Zhang

  • Estimating chlorophyll content from hyperspectral vegetation indices : Modeling and validation

    Chaoyang Wu;Zheng Niu;Quan Tang;Wenjiang Huang

  • Monitoring plant diseases and pests through remote sensing technology: a review.

    Jingcheng Zhang;Yanbo Huang;Ruiliang Pu;Pablo Gonzalez-Moreno

  • Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging

    Wenjiang Huang;Wenjiang Huang;David W. Lamb;Zheng Niu;Yongjiang Zhang

  • A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images

    Xin Zhang;Liangxiu Han;Yingying Dong;Yue Shi

  • Vegetation Indices Combining the Red and Red-Edge Spectral Information for Leaf Area Index Retrieval

    Qiaoyun Xie;Jadu Dash;Wenjiang Huang;Dailiang Peng

  • New Optimized Spectral Indices for Identifying and Monitoring Winter Wheat Diseases

    Wenjiang Huang;Qingsong Guan;Juhua Luo;Jingcheng Zhang

  • Experimental performance comparison of shell-side heat transfer for shell-and-tube heat exchangers with middle-overlapped helical baffles and segmental baffles

    Jian-Fei Zhang;Bin Li;Wen-Jiang Huang;Yong-Gang Lei

  • Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices

    Chaoyang Wu;Zheng Niu;Quan Tang;Wenjiang Huang;Wenjiang Huang

  • Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery

    Qiaoyun Xie;Jadunandan Dash;Alfredo Huete;Aihui Jiang

  • Detecting powdery mildew of winter wheat using leaf level hyperspectral measurements

    Jing-Cheng Zhang;Rui-Liang Pu;Ji-Hua Wang;Wen-Jiang Huang

  • Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake, China

    Juhua Luo;Xinchuan Li;Ronghua Ma;Fei Li

  • Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology

    Anting Guo;Wenjiang Huang;Yingying Dong;Huichun Ye

  • Predicting grain protein content of winter wheat using remote sensing data based on nitrogen status and water stress

    Chunjiang Zhao;Liangyun Liu;Jihua Wang;Wenjiang Huang

  • New Spectral Index for Detecting Wheat Yellow Rust Using Sentinel-2 Multispectral Imagery

    Qiong Zheng;Wenjiang Huang;Ximin Cui;Yue Shi

  • Prediction of grain protein content in winter wheat (Triticum aestivum L.) using plant pigment ratio (PPR).

    Z.J. Wang;Z.J. Wang;J.H. Wang;L.Y. Liu;W.J. Huang

  • Class Imbalance Ensemble Learning Based on the Margin Theory

    Wei Feng;Wenjiang Huang;Jinchang Ren

  • Using in-situ hyperspectral data for detecting and discriminating yellow rust disease from nutrient stresses

    Jingcheng Zhang;Jingcheng Zhang;Jingcheng Zhang;Ruiliang Pu;Wenjiang Huang;Wenjiang Huang;Lin Yuan;Lin Yuan

  • A Comparison of Hybrid Machine Learning Algorithms for the Retrieval of Wheat Biophysical Variables from Sentinel-2

    Deepak Upreti;Wenjiang Huang;Weiping Kong;Simone Pascucci

  • Predicting winter wheat condition, grain yield and protein content using multi‐temporal EnviSat‐ASAR and Landsat TM satellite images

    Liangyun Liu;Jihua Wang;Yansong Bao;Wenjiang Huang

  • Evaluation of the volatile profile of 33 Pyrus ussuriensis cultivars by HS-SPME with GC-MS.

    Gaihua Qin;Shutian Tao;Yufen Cao;Juyou Wu

  • Estimating winter wheat plant water content using red edge parameters

    Liangyun Liu;Jihua Wang;Wenjiang Huang;Chunjiang Zhao

Frequent Co-Authors

Guijun Yang
Guijun Yang Center for Information Technology
Liangyun Liu
Liangyun Liu Chinese Academy of Sciences
Zheng Niu
Zheng Niu Chinese Academy of Sciences
Chaoyang Wu
Chaoyang Wu Chinese Academy of Sciences
Ruiliang Pu
Ruiliang Pu University of South Florida
Wei Feng
Wei Feng Tianjin University
Shaoling Zhang
Shaoling Zhang Nanjing Agricultural University
Juyou Wu
Juyou Wu Nanjing Agricultural University
Alfredo Huete
Alfredo Huete University of Technology Sydney
Ronghua Ma
Ronghua Ma Chinese Academy of Sciences

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