World's Best Scientists 2026 revealed!

D-Index & Metrics

Plant Science and Agronomy

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

Yuxin Miao publication distribution in Plant Science and Agronomy in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Plant Science and Agronomy in 2026. The highlighted bar marks where Yuxin Miao sits on this spectrum.

36–40 publications: 2 scientists 41–45 publications: 7 scientists 46–50 publications: 40 scientists 51–55 publications: 58 scientists 56–60 publications: 60 scientists 61–65 publications: 107 scientists 66–70 publications: 130 scientists 71–75 publications: 153 scientists 76–80 publications: 191 scientists 81–85 publications: 199 scientists 86–90 publications: 206 scientists 91–95 publications: 218 scientists 96–100 publications: 226 scientists 101–105 publications: 227 scientists 106–110 publications: 247 scientists 111–115 publications: 255 scientists 116–120 publications: 253 scientists 121–125 publications: 233 scientists 126–130 publications: 219 scientists 131–135 publications: 201 scientists 136–140 publications: 194 scientists 141–145 publications: 176 scientists 146–150 publications: 157 scientists 151–155 publications: 147 scientists 156–160 publications: 151 scientists 161–165 publications: 159 scientists 166–170 publications: 137 scientists 171–175 publications: 128 scientists 176–180 publications: 126 scientists 181–185 publications: 98 scientists 186–190 publications: 114 scientists 191–195 publications: 100 scientists 196–200 publications: 90 scientists 201–205 publications: 71 scientists 206–210 publications: 98 scientists 211–215 publications: 70 scientists 216–220 publications: 86 scientists 221–225 publications: 61 scientists 226–230 publications: 58 scientists 231–235 publications: 53 scientists 236–240 publications: 64 scientists 241–245 publications: 39 scientists 246–250 publications: 46 scientists 251–255 publications: 51 scientists 256–260 publications: 36 scientists 261–265 publications: 44 scientists 266–270 publications: 35 scientists 271–275 publications: 30 scientists 276–280 publications: 33 scientists 281–285 publications: 35 scientists 286–290 publications: 36 scientists 291–295 publications: 26 scientists 296–300 publications: 26 scientists 301–305 publications: 31 scientists 306–310 publications: 30 scientists 311–315 publications: 21 scientists 316–320 publications: 29 scientists 321–325 publications: 14 scientists 326–330 publications: 15 scientists 331–335 publications: 15 scientists 336–340 publications: 17 scientists 341–345 publications: 15 scientists 346–350 publications: 12 scientists 351–355 publications: 17 scientists 356–360 publications: 18 scientists 361–365 publications: 12 scientists 366–370 publications: 11 scientists 371–375 publications: 6 scientists 376–380 publications: 6 scientists 381–385 publications: 11 scientists 386–390 publications: 9 scientists 391–395 publications: 10 scientists 396–400 publications: 8 scientists 401–405 publications: 4 scientists 406–410 publications: 9 scientists 411–415 publications: 11 scientists 416–420 publications: 4 scientists 421–425 publications: 7 scientists 426–430 publications: 4 scientists 431–435 publications: 3 scientists 436–440 publications: 5 scientists 441–445 publications: 8 scientists 446–450 publications: 6 scientists 451–455 publications: 7 scientists 456–460 publications: 5 scientists 461–465 publications: 6 scientists 466 publications: 2 scientists 467+ publications: 99 scientists
36 publications 467+

This scientist: 141 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 467 publications or more.

Yuxin Miao D-index placement in Plant Science and Agronomy in 2026

The chart shows the D-index (discipline H-index) distribution of Plant Science and Agronomy scientists ranked by Research.com in 2026. The highlighted bar marks where Yuxin Miao sits on this spectrum.

30 D-Index: 200 scientists 31 D-Index: 236 scientists 32 D-Index: 253 scientists 33 D-Index: 283 scientists 34 D-Index: 288 scientists 35 D-Index: 240 scientists 36 D-Index: 246 scientists 37 D-Index: 243 scientists 38 D-Index: 247 scientists 39 D-Index: 229 scientists 40 D-Index: 232 scientists 41 D-Index: 230 scientists 42 D-Index: 228 scientists 43 D-Index: 219 scientists 44 D-Index: 193 scientists 45 D-Index: 164 scientists 46 D-Index: 158 scientists 47 D-Index: 143 scientists 48 D-Index: 131 scientists 49 D-Index: 127 scientists 50 D-Index: 122 scientists 51 D-Index: 122 scientists 52 D-Index: 110 scientists 53 D-Index: 102 scientists 54 D-Index: 98 scientists 55 D-Index: 79 scientists 56 D-Index: 85 scientists 57 D-Index: 88 scientists 58 D-Index: 91 scientists 59 D-Index: 62 scientists 60 D-Index: 61 scientists 61 D-Index: 59 scientists 62 D-Index: 54 scientists 63 D-Index: 61 scientists 64 D-Index: 59 scientists 65 D-Index: 58 scientists 66 D-Index: 41 scientists 67 D-Index: 49 scientists 68 D-Index: 39 scientists 69 D-Index: 32 scientists 70 D-Index: 40 scientists 71 D-Index: 47 scientists 72 D-Index: 38 scientists 73 D-Index: 28 scientists 74 D-Index: 29 scientists 75 D-Index: 28 scientists 76 D-Index: 22 scientists 77 D-Index: 21 scientists 78 D-Index: 25 scientists 79 D-Index: 26 scientists 80 D-Index: 19 scientists 81 D-Index: 16 scientists 82 D-Index: 12 scientists 83 D-Index: 16 scientists 84 D-Index: 14 scientists 85 D-Index: 11 scientists 86 D-Index: 17 scientists 87 D-Index: 13 scientists 88 D-Index: 10 scientists 89 D-Index: 12 scientists 90 D-Index: 18 scientists 91 D-Index: 16 scientists 92 D-Index: 16 scientists 93 D-Index: 17 scientists 94 D-Index: 12 scientists 95 D-Index: 8 scientists 96 D-Index: 9 scientists 97 D-Index: 9 scientists 98 D-Index: 11 scientists 99 D-Index: 12 scientists 100 D-Index: 5 scientists 101 D-Index: 8 scientists 102 D-Index: 4 scientists 103 D-Index: 11 scientists 104 D-Index: 5 scientists 105 D-Index: 9 scientists 106 D-Index: 7 scientists 107 D-Index: 4 scientists 108 D-Index: 8 scientists 109+ D-Index: 99 scientists
30 D-Index 109+

This scientist: 50 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 109 D-Index or more.

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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