World's Best Scientists 2026 revealed!

D-Index & Metrics

Plant Science and Agronomy

D-Index
50
Citations
10137
World Ranking
2122
National Ranking
549

Overview

What is he best known for?

The fields of study he is best known for:

  • Agriculture
  • Agronomy
  • Ecology

His scientific interests lie mostly in Agronomy, Canopy, Crop, Vegetation and Precision agriculture. The various areas that Yuxin Miao examines in his Agronomy study include Nitrogen management and Normalized Difference Vegetation Index. His work on Red edge as part of general Canopy study is frequently linked to Sanjiang Plain and Attenuation, therefore connecting diverse disciplines of science.

His Crop study integrates concerns from other disciplines, such as Enhanced vegetation index and Fertilizer. As part of his studies on Vegetation, Yuxin Miao often connects relevant areas like Remote sensing. His research investigates the link between Growing season and topics such as Soil contamination that cross with problems in Crop yield.

His most cited work include:

  • Long-term experiments for sustainable nutrient management in China. A review (265 citations)
  • Pursuing sustainable productivity with millions of smallholder farmers. (244 citations)
  • Closing yield gaps in China by empowering smallholder farmers (177 citations)

What are the main themes of his work throughout his whole career to date?

Yuxin Miao mainly focuses on Agronomy, Crop, Canopy, Vegetation and Remote sensing. His studies deal with areas such as Precision agriculture, Nitrogen management and Normalized Difference Vegetation Index as well as Agronomy. His study looks at the relationship between Crop and topics such as Cultivar, which overlap with Temperate climate and Nitrogen dilution.

Yuxin Miao interconnects Stem elongation, Forestry, Cropping system and Crop factor in the investigation of issues within Canopy. His work on Red edge as part of general Vegetation research is frequently linked to Sanjiang Plain, thereby connecting diverse disciplines of science. His work deals with themes such as Biomass, Scale and Stage, which intersect with Remote sensing.

He most often published in these fields:

  • Agronomy (58.82%)
  • Crop (29.41%)
  • Canopy (29.41%)

What were the highlights of his more recent work (between 2018-2021)?

  • Remote sensing (9.24%)
  • Remote sensing (26.05%)
  • Crop (29.41%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Remote sensing, Remote sensing, Crop, Soil type and Agriculture. In Remote sensing, he works on issues like Vegetation, which are connected to Biomass, Dry weight, Multispectral image and Precision agriculture. Crop is a subfield of Agronomy that he studies.

His work in Agronomy covers topics such as Soil water which are related to areas like Normalized Difference Vegetation Index. His studies in Agriculture integrate themes in fields like Multispectral pattern recognition, Ground truth and Scale. His work focuses on many connections between Nitrogen management and other disciplines, such as High yielding, that overlap with his field of interest in Canopy.

Between 2018 and 2021, his most popular works were:

  • Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning (17 citations)
  • Developing Active Canopy Sensor-Based Precision Nitrogen Management Strategies for Maize in Northeast China (6 citations)
  • In-Season Diagnosis of Winter Wheat Nitrogen Status in Smallholder Farmer Fields Across a Village Using Unmanned Aerial Vehicle-Based Remote Sensing (5 citations)

In his most recent research, the most cited papers focused on:

  • Agriculture
  • Ecology
  • Agronomy

Yuxin Miao mainly focuses on Remote sensing, Remote sensing, Canopy, Crop and Soil water. His Remote sensing research is multidisciplinary, incorporating perspectives in Vegetation, Ground truth, Multispectral pattern recognition and Food security. His Remote sensing research includes themes of Agriculture and Precision agriculture.

Yuxin Miao combines subjects such as Panicle, Chlorophyll, Paddy field and Animal science with his study of Canopy. His study in Crop is interdisciplinary in nature, drawing from both Crop yield and Spatial variability. Yuxin Miao has researched Soil water in several fields, including Agronomy, Sowing and Normalized Difference Vegetation Index.

Best Publications

  • Pursuing sustainable productivity with millions of smallholder farmers.

    Zhenling Cui;Hongyan Zhang;Xinping Chen;Chaochun Zhang

  • Closing yield gaps in China by empowering smallholder farmers

    Weifeng Zhang;Guoxin Cao;Xiaolin Li;Hongyan Zhang

  • Long-term experiments for sustainable nutrient management in China. A review

    Yuxin Miao;Bobby A. Stewart;Fusuo Zhang

  • Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices

    Fei Li;Yuxin Miao;Guohui Feng;Fei Yuan

  • On-farm evaluation of an in-season nitrogen management strategy based on soil Nmin test

    Zhenling Cui;Fusuo Zhang;Xinping Chen;Yuxin Miao

  • Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages

    Martin L. Gnyp;Martin L. Gnyp;Yuxin Miao;Fei Yuan;Susan L. Ustin

  • Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor

    Qiang Cao;Yuxin Miao;Hongye Wang;Shanyu Huang;Shanyu Huang

  • On-Farm Evaluation of the Improved Soil Nmin–based Nitrogen Management for Summer Maize in North China Plain

    Zhenling Cui;Xinping Chen;Yuxin Miao;Fusuo Zhang

  • Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice

    Nora Tilly;Dirk Hoffmeister;Qiang Cao;Shanyu Huang

  • Improving unmanned aerial vehicle remote sensing-based rice nitrogen nutrition index prediction with machine learning

    Hainie Zha;Yuxin Miao;Tiantian Wang;Yue Li

  • Evaluating hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat at different growth stages

    Fei Li;Fei Li;Yuxin Miao;Simon D. Hennig;Martin L. Gnyp;Martin L. Gnyp

  • Active canopy sensing of winter wheat nitrogen status

    Qiang Cao;Yuxin Miao;Guohui Feng;Xiaowei Gao

  • Identifying important factors influencing corn yield and grain quality variability using artificial neural networks

    Yuxin Miao;David J. Mulla;Pierre C. Robert

  • Transforming agriculture in China: From solely high yield to both high yield and high resource use efficiency

    Jianbo Shen;Zhenling Cui;Yuxin Miao;Guohua Mi

  • Estimating N status of winter wheat using a handheld spectrometer in the North China Plain

    Fei Li;Fei Li;Martin L. Gnyp;Liangliang Jia;Yuxin Miao

  • Mapping paddy rice fields by applying machine learning algorithms to multi-temporal Sentinel-1A and Landsat data

    Alex Okiemute Onojeghuo;George Alan Blackburn;Qunming Wang;Peter Michael Atkinson

  • Combining chlorophyll meter readings and high spatial resolution remote sensing images for in-season site-specific nitrogen management of corn

    Yuxin Miao;David J. Mulla;Gyles W. Randall;Jeffrey A. Vetsch

  • Remotely detecting canopy nitrogen concentration and uptake of paddy rice in the Northeast China Plain

    Kang Yu;Kang Yu;Fei Li;Martin L. Gnyp;Yuxin Miao

  • Active canopy sensor-based precision N management strategy for rice

    Yinkun Yao;Yuxin Miao;Shanyu Huang;Shanyu Huang;Lei Gao

  • Best Accuracy Land Use/Land Cover (LULC) Classification to Derive Crop Types Using Multitemporal, Multisensor, and Multi-Polarization SAR Satellite Images

    Christoph Hütt;Wolfgang Koppe;Yuxin Miao;Georg Bareth

Frequent Co-Authors

Qiang Cao
Qiang Cao Nanjing Agricultural University
Xinping Chen
Xinping Chen Southwest University
Fusuo Zhang
Fusuo Zhang China Agricultural University
David J. Mulla
David J. Mulla University of Minnesota
Zhenling Cui
Zhenling Cui China Agricultural University
Rongfeng Jiang
Rongfeng Jiang China Agricultural University
Guohua Mi
Guohua Mi China Agricultural University
Haigang Li
Haigang Li Inner Mongolia Agricultural University
Hailin Zhang
Hailin Zhang Oklahoma State University
Jianbo Shen
Jianbo Shen China Agricultural University

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