World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
48
Citations
9834
World Ranking
5490
National Ranking
557

Zheng Niu publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Zheng Niu sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 242 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Zheng Niu D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Zheng Niu sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 48 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Zheng Niu is affiliated with the Chinese Academy of Sciences in China and focuses primarily on Environmental Science, with a significant number of publications in this field.

Their research spans several subfields including:

  • Global and Planetary Change
  • Ecology
  • Environmental Engineering
  • Transportation
  • Atmospheric Science

Main topics covered in their work include:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Land Use and Ecosystem Services
  • Impact of Light on Environment and Health
  • Plant Water Relations and Carbon Dynamics
  • Remote Sensing and Land Use
  • 3D Surveying and Cultural Heritage

Zheng Niu's frequent coauthors reveal a consistent collaboration network, featuring:

  • Li Wang
  • Ni Huang
  • Kaiyi Bi
  • Mingquan Wu
  • Wang Li

Their publications are often found in the following venues, indicating a focus on remote sensing and geospatial studies:

  • Remote Sensing
  • IEEE Transactions on Geoscience and Remote Sensing
  • International Journal of Digital Earth
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Remote Sensing of Environment

Selected recent papers include:

  • High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data (2020), International Journal of Applied Earth Observation and Geoinformation
  • Early-season mapping of winter wheat in China based on Landsat and Sentinel images (2020), Earth system science data
  • Spatial and temporal variations in global soil respiration and their relationships with climate and land cover (2020), Science Advances
  • Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process (2020), ISPRS International Journal of Geo-Information
  • Summer Maize Mapping by Compositing Time Series Sentinel-1A Imagery Based on Crop Growth Cycles (2021), Journal of the Indian Society of Remote Sensing

Best Publications

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

    Chaoyang Wu;Zheng Niu;Quan Tang;Wenjiang Huang

  • 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

  • Watershed Allied Telemetry Experimental Research

    Xin Li;Xiaowen Li;Xiaowen Li;Zengyuan Li;Mingguo Ma

  • Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system

    Wang Li;Zheng Niu;Hanyue Chen;Dong Li

  • Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model

    Mingquan Wu;Zheng Niu;Changyao Wang;Chaoyang Wu;Chaoyang Wu

  • Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA

    Pengyu Hao;Yulin Zhan;Li Wang;Zheng Niu

  • High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data

    Wang Li;Wang Li;Zheng Niu;Rong Shang;Yuchu Qin

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

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

  • Comparison of multiple models for estimating gross primary production using MODIS and eddy covariance data in Harvard Forest

    Chaoyang Wu;J. William Munger;Zheng Niu;Da Kuang

  • Early-season mapping of winter wheat in China based on Landsat and Sentinel images

    Jie Dong;Yangyang Fu;Jingjing Wang;Haifeng Tian

  • Evaluating soil moisture status in China using the temperature-vegetation dryness index (TVDI)

    Changyao Wang;Shuhua Qi;Zheng Niu;Junbang Wang

  • Mapping Winter Crops in China with Multi-Source Satellite Imagery and Phenology-Based Algorithm

    Haifeng Tian;Ni Huang;Zheng Niu;Yuchu Qin

  • Spatial and temporal variations in global soil respiration and their relationships with climate and land cover

    Ni Huang;Li Wang;Xiao-Peng Song;T. Andrew Black

  • A new satellite-based monthly precipitation downscaling algorithm with non-stationary relationship between precipitation and land surface characteristics

    Shiguang Xu;Chaoyang Wu;Li Wang;Alemu Gonsamo

  • Estimating the Leaf Area Index, height and biomass of maize using HJ-1 and RADARSAT-2

    Shuai Gao;Zheng Niu;Ni Huang;Xuehui Hou

  • Evolving neural network using real coded genetic algorithm (GA) for multispectral image classification

    Zhengjun Liu;Aixia Liu;Changyao Wang;Zheng Niu

  • Gross primary production estimation from MODIS data with vegetation index and photosynthetically active radiation in maize

    Chaoyang Wu;Zheng Niu;Shuai Gao

  • Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990s using TM images and GIS

    Unknown

  • Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process

    Biswajit Nath;Zhihua Wang;Yong Ge;Kamrul Islam

  • Prediction of soil properties using laboratory VIS–NIR spectroscopy and Hyperion imagery

    Peng Lu;Li Wang;Zheng Niu;Linghao Li

  • Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China

    Wang Li;Zheng Niu;Ni Huang;Cheng Wang

Frequent Co-Authors

Wenjiang Huang
Wenjiang Huang Chinese Academy of Sciences
Chaoyang Wu
Chaoyang Wu Chinese Academy of Sciences
Cheng Wang
Cheng Wang Xiamen University
Liangyun Liu
Liangyun Liu Chinese Academy of Sciences
Guangjian Yan
Guangjian Yan Beijing Normal University
Yifang Ban
Yifang Ban Royal Institute of Technology
Qinhuo Liu
Qinhuo Liu Chinese Academy of Sciences
Yang Hong
Yang Hong University of Oklahoma
Xiaowen Li
Xiaowen Li Tsinghua University
David Lamb
David Lamb University of New England

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Related Online Degrees & Career Pathways

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