World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
49
Citations
8491
World Ranking
5265
National Ranking
221

Guomo Zhou 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 Guomo Zhou 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: 182 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Guomo Zhou 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 Guomo Zhou 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: 49 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts

Overview

Guomo Zhou is affiliated with the University of British Columbia in Canada. Their research predominantly spans the fields of Environmental Science and Agricultural and Biological Sciences, with a significant focus on areas such as Global and Planetary Change, Plant Science, Soil Science, Environmental Engineering, and Ecology.

The scientist's work covers multiple research topics, including:

  • Bamboo properties and applications
  • Plant Water Relations and Carbon Dynamics
  • Soil Carbon and Nitrogen Dynamics
  • Forest ecology and management
  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Urban Heat Island Mitigation

Frequent publication venues for Guomo Zhou include:

  • Remote Sensing
  • The Science of The Total Environment
  • Forests
  • Frontiers in Plant Science
  • SSRN Electronic Journal

Several recent papers by Guomo Zhou include:

  • "Nitrogen addition increased CO 2 uptake more than non-CO 2 greenhouse gases emissions in a Moso bamboo forest" (2020) published in Science Advances
  • "Analysis of surface urban heat islands based on local climate zones via spatiotemporally enhanced land surface temperature" (2022) published in Remote Sensing of Environment
  • "Key challenges and approaches to addressing barriers in forest carbon offset projects" (2022) published in Journal of Forestry Research
  • "Biochar application increased ecosystem carbon sequestration capacity in a Moso bamboo forest" (2020) published in Forest Ecology and Management
  • "Bamboo as a Nature-Based Solution (NbS) for Climate Change Mitigation: Biomass, Products, and Carbon Credits" (2023) published in Climate

Guomo Zhou frequently collaborates with other researchers. Their primary co-authors are:

  • Huaqiang Du
  • Yufeng Zhou
  • Fangjie Mao
  • Xuejian Li
  • Yongjun Shi

Guomo Zhou has been recognized as a Member of the European Academy of Sciences and Arts. The specific year of this award is not specified.

Best Publications

  • Carbon sequestration by Chinese bamboo forests and their ecological benefits: assessment of potential, problems, and future challenges

    Unknown

  • Regional mapping of human settlements in southeastern China with multisensor remotely sensed data

    Dengsheng Lu;Hanqin Tian;Guomo Zhou;Hongli Ge

  • Severe summer heatwave and drought strongly reduced carbon uptake in Southern China.

    Wenping Yuan;Wenping Yuan;Wenwen Cai;Yang Chen;Shuguang Liu

  • Using Moran's I and GIS to study the spatial pattern of forest litter carbon density in a subtropical region of southeastern China

    W. J. Fu;P. K. Jiang;G. M. Zhou;K. L. Zhao;K. L. Zhao

  • Long-term intensive management effects on soil organic carbon pools and chemical composition in Moso bamboo (Phyllostachys pubescens) forests in subtropical China

    Yongfu Li;Jiaojiao Zhang;Scott X. Chang;Peikun Jiang

  • Chinese Grain for Green Program led to highly increased soil organic carbon levels: A meta-analysis

    Xinzhang Song;Changhui Peng;Guomo Zhou;Hong Jiang

  • Review of Carbon Fixation in Bamboo Forests in China

    Unknown

  • Biochar reduces soil heterotrophic respiration in a subtropical plantation through increasing soil organic carbon recalcitrancy and decreasing carbon-degrading microbial activity.

    Yongchun Li;Yongfu Li;Scott X. Chang;Yunfeng Yang

  • Seasonal soil CO2 efflux dynamics after land use change from a natural forest to Moso bamboo plantations in subtropical China

    Juan Liu;Juan Liu;Peikun Jiang;Hailong Wang;Hailong Wang;Guomo Zhou

  • Current and potential carbon stocks in Moso bamboo forests in China.

    Pingheng Li;Guomo Zhou;Huaqiang Du;Dengsheng Lu

  • Vegetation carbon stocks driven by canopy density and forest age in subtropical forest ecosystems.

    Lin Xu;Yongjun Shi;Huiyun Fang;Guomo Zhou

  • Nitrogen addition increased CO2 uptake more than non-CO2 greenhouse gases emissions in a Moso bamboo forest

    Xinzhang Song;Changhui Peng;Changhui Peng;Philippe Ciais;Quan Li

  • Pixel-based Minnaert correction method for reducing topographic effects on a landsat 7 ETM+ image

    Dengsheng Lu;Hongli Ge;Shizhen He;Aijun Xu

  • Very High Resolution Remote Sensing Imagery Classification Using a Fusion of Random Forest and Deep Learning Technique—Subtropical Area for Example

    Luofan Dong;Luqi Xing;Tengyan Liu;Huaqiang Du

  • Key challenges and approaches to addressing barriers in forest carbon offset projects

    Unknown

  • Analysis of surface urban heat islands based on local climate zones via spatiotemporally enhanced land surface temperature

    Unknown

  • Evaluating the effects of future climate change and elevated CO2 on the water use efficiency in terrestrial ecosystems of China

    Qiuan Zhu;Qiuan Zhu;Hong Jiang;Changhui Peng;Jinxun Liu

  • Carbon Footprint Analysis of Bamboo Scrimber Flooring—Implications for Carbon Sequestration of Bamboo Forests and Its Products

    Unknown

  • Spatial heterogeneity and carbon contribution of aboveground biomass of moso bamboo by using geostatistical theory

    Huaqiang Du;Guomo Zhou;Wenyi Fan;Hongli Ge

  • Observed high and persistent carbon uptake by Moso bamboo forests and its response to environmental drivers

    Xinzhang Song;Xiaofeng Chen;Guomo Zhou;Hong Jiang

  • Soil CO2 flux dynamics in the two main plantation forest types in subtropical China

    Xinzhang Song;Huanying Yuan;Mark O. Kimberley;Hong Jiang

  • Contrasting effects of bamboo leaf and its biochar on soil CO2 efflux and labile organic carbon in an intensively managed Chinese chestnut plantation

    Zhanlei Wang;Yongfu Li;Scott X. Chang;Jiaojiao Zhang

  • Mapping Global Bamboo Forest Distribution Using Multisource Remote Sensing Data

    Huaqiang Du;Fangjie Mao;Xuejian Li;Guomo Zhou

  • Converting native shrub forests to Chinese chestnut plantations and subsequent intensive management affected soil C and N pools

    Yongfu Li;Jiaojiao Zhang;Scott X. Chang;Peikun Jiang

  • Development of the BIOME-BGC model for the simulation of managed Moso bamboo forest ecosystems.

    Fangjie Mao;Pingheng Li;Guomo Zhou;Huaqiang Du

  • Estimating bamboo forest aboveground biomass using EnKF-assimilated MODIS LAI spatiotemporal data and machine learning algorithms

    Xuejian Li;Huaqiang Du;Fangjie Mao;Guomo Zhou

  • Understory vegetation management affected greenhouse gas emissions and labile organic carbon pools in an intensively managed Chinese chestnut plantation

    Jiaojiao Zhang;Yongfu Li;Scott X. Chang;Peikun Jiang

Frequent Co-Authors

Dengsheng Lu
Dengsheng Lu Fujian Normal University
Frank Berninger
Frank Berninger University of Eastern Finland
Guangsheng Chen
Guangsheng Chen Zhejiang A & F University
Dirk Hölscher
Dirk Hölscher University of Göttingen
Shaojie Tang
Shaojie Tang The University of Texas at Dallas
Jinsong Han
Jinsong Han Zhejiang University
Yiqi Luo
Yiqi Luo Cornell University
Hanqin Tian
Hanqin Tian Auburn University

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