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2025

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Rising Stars

D-Index
54
Citations
10106
World Ranking
221
National Ranking
74

Environmental Sciences

D-Index
60
Citations
13071
World Ranking
2930
National Ranking
297

Guoyong Leng 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 Guoyong Leng 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 207 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Guoyong Leng 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 Guoyong Leng 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 60 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Guoyong Leng is affiliated with the Chinese Academy of Sciences in China. Their research primarily spans the domains of Environmental Science and Agricultural and Biological Sciences, contributing extensively across related subfields.

The scientist's work covers notable subfields including:

  • Global and Planetary Change
  • Water Science and Technology
  • Atmospheric Science
  • Ecology, Evolution, Behavior and Systematics
  • Plant Science

Leng's research topics focus on various aspects of climate and hydrological sciences, specifically:

  • Climate variability and models
  • Hydrology and Drought Analysis
  • Hydrology and Watershed Management Studies
  • Climate change impacts on agriculture
  • Flood Risk Assessment and Management
  • Plant Water Relations and Carbon Dynamics
  • Cryospheric studies and observations

Several papers authored or co-authored by Leng demonstrate engagement with climate and drought-related topics, including:

  • Predicting spatial and temporal variability in crop yields: an inter-comparison of machine learning, regression and process-based models, 2020, Environmental Research Letters
  • Projected Impacts of Climate Change on Drought Patterns Over East Africa, 2020, Earth s Future
  • Propagation thresholds of meteorological drought for triggering hydrological drought at various levels, 2020, The Science of The Total Environment
  • Assessing agricultural drought risk and its dynamic evolution characteristics, 2020, Agricultural Water Management
  • Quantitative contribution of climate change and human activities to vegetation cover variations based on GA-SVM model, 2020, Journal of Hydrology

The Chinese Academy of Sciences scientist has published extensively in several venues with notable frequency, among them:

  • Journal of Hydrology
  • The Science of The Total Environment
  • Environmental Research Letters
  • Atmospheric Research
  • SSRN Electronic Journal

Collaboration features prominently in Leng's research, with frequent coauthors including:

  • Shengzhi Huang
  • Jian Peng
  • Qiang Huang
  • Hao Wang

Best Publications

  • Crop yield sensitivity of global major agricultural countries to droughts and the projected changes in the future.

    Guoyong Leng;Jim Hall

  • Climate change impacts on meteorological, agricultural and hydrological droughts in China

    Guoyong Leng;Qiuhong Tang;Scott Rayburg

  • The propagation from meteorological to hydrological drought and its potential influence factors

    Shengzhi Huang;Pei Li;Qiang Huang;Guoyong Leng

  • Comparison of urbanization and climate change impacts on urban flood volumes: Importance of urban planning and drainage adaptation.

    Qianqian Zhou;Guoyong Leng;Jiongheng Su;Yi Ren

  • Projected Impacts of Climate Change on Drought Patterns Over East Africa

    Gebremedhin Gebremeskel Haile;Qiuhong Tang;Seyed-Mohammad Hosseini-Moghari;Xingcai Liu

  • Propagation thresholds of meteorological drought for triggering hydrological drought at various levels

    Yi Guo;Shengzhi Huang;Qiang Huang;Guoyong Leng

  • Probabilistic assessment of remote sensing-based terrestrial vegetation vulnerability to drought stress of the Loess Plateau in China

    Wei Fang;Shengzhi Huang;Qiang Huang;Guohe Huang

  • Cross‐scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins

    Fred Hattermann;V. Krysanova;Simon N. Gosling;Rutger Dankers

  • Reconstruction of global gridded monthly sectoral water withdrawals for 1971–2010 and analysis of their spatiotemporal patterns

    Zhongwei Huang;Zhongwei Huang;Mohamad Hejazi;Mohamad Hejazi;Xinya Li;Qiuhong Tang

  • Assessing agricultural drought risk and its dynamic evolution characteristics

    Meng Dai;Shengzhi Huang;Qiang Huang;Guoyong Leng

  • Propagation dynamics from meteorological to groundwater drought and their possible influence factors

    Zhiming Han;Shengzhi Huang;Qiang Huang;Guoyong Leng

  • Integrated index for drought assessment based on variable fuzzy set theory: A case study in the Yellow River basin, China

    Shengzhi Huang;Jianxia Chang;Guoyong Leng;Qiang Huang

  • The critical role of the routing scheme in simulating peak river discharge in global hydrological models

    Fang Zhao;Ted I. E. Veldkamp;Katja Frieler;Jacob Schewe

  • The response of agricultural drought to meteorological drought and the influencing factors: A case study in the Wei River Basin, China

    Shengzhi Huang;Qiang Huang;Jianxia Chang;Guoyong Leng

  • Worldwide evaluation of mean and extreme runoff from six global-scale hydrological models that account for human impacts

    Jamal Zaherpour;Simon N Gosling;Nick Mount;Hannes Müller Schmied

  • Predicting spatial and temporal variability in crop yields: an inter-comparison of machine learning, regression and process-based models.

    Guoyong Leng;Guoyong Leng;James W Hall

  • Crop yield response to climate change varies with crop spatial distribution pattern.

    Guoyong Leng;Maoyi Huang

  • Quantitative contribution of climate change and human activities to vegetation cover variations based on GA-SVM model

    Shengzhi Huang;Xudong Zheng;Lan Ma;Hao Wang

  • Modeling the Effects of Groundwater-Fed Irrigation on Terrestrial Hydrology over the Conterminous United States

    Guoyong Leng;Maoyi Huang;Qiuhong Tang;Huilin Gao

  • Time-lagged response of vegetation dynamics to climatic and teleconnection factors

    Jing Zhao;Shengzhi Huang;Qiang Huang;Hao Wang

  • Linkages between hydrological drought, climate indices and human activities: a case study in the Columbia River basin

    Shengzhi Huang;Qiang Huang;Jianxia Chang;Guoyong Leng

  • Modeling the Effects of Irrigation on Land Surface Fluxes and States over the Conterminous United States: Sensitivity to Input Data and Model Parameters

    Guoyong Leng;Guoyong Leng;Maoyi Huang;Qiuhong Tang;William J. Sacks

Frequent Co-Authors

Qiuhong Tang
Qiuhong Tang Chinese Academy of Sciences
Maoyi Huang
Maoyi Huang Pacific Northwest National Laboratory
Hao Wang
Hao Wang Swinburne University of Technology
Xuesong Zhang
Xuesong Zhang Agricultural Research Service
Yoshihide Wada
Yoshihide Wada King Abdullah University of Science and Technology
Simon N. Gosling
Simon N. Gosling University of Nottingham
Jinfeng Chang
Jinfeng Chang Zhejiang University
Yadu Pokhrel
Yadu Pokhrel Michigan State University
Dieter Gerten
Dieter Gerten Potsdam Institute for Climate Impact Research
Lai-yung Ruby Leung
Lai-yung Ruby Leung Pacific Northwest National Laboratory

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