World's Best Scientists 2026 revealed!
Shenglian Guo

Shenglian Guo

D-Index & Metrics

Earth Science

D-Index
62
Citations
12654
World Ranking
1700
National Ranking
104

Shenglian Guo publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Shenglian Guo sits on this spectrum.

38–42 publications: 1 scientists 43–47 publications: 0 scientists 48–52 publications: 3 scientists 53–57 publications: 8 scientists 58–62 publications: 11 scientists 63–67 publications: 16 scientists 68–72 publications: 24 scientists 73–77 publications: 31 scientists 78–82 publications: 49 scientists 83–87 publications: 77 scientists 88–92 publications: 86 scientists 93–97 publications: 88 scientists 98–102 publications: 92 scientists 103–107 publications: 84 scientists 108–112 publications: 102 scientists 113–117 publications: 108 scientists 118–122 publications: 117 scientists 123–127 publications: 126 scientists 128–132 publications: 146 scientists 133–137 publications: 114 scientists 138–142 publications: 102 scientists 143–147 publications: 127 scientists 148–152 publications: 102 scientists 153–157 publications: 112 scientists 158–162 publications: 102 scientists 163–167 publications: 127 scientists 168–172 publications: 121 scientists 173–177 publications: 112 scientists 178–182 publications: 109 scientists 183–187 publications: 98 scientists 188–192 publications: 92 scientists 193–197 publications: 105 scientists 198–202 publications: 77 scientists 203–207 publications: 80 scientists 208–212 publications: 89 scientists 213–217 publications: 70 scientists 218–222 publications: 74 scientists 223–227 publications: 74 scientists 228–232 publications: 70 scientists 233–237 publications: 67 scientists 238–242 publications: 59 scientists 243–247 publications: 67 scientists 248–252 publications: 51 scientists 253–257 publications: 46 scientists 258–262 publications: 41 scientists 263–267 publications: 39 scientists 268–272 publications: 34 scientists 273–277 publications: 39 scientists 278–282 publications: 35 scientists 283–287 publications: 36 scientists 288–292 publications: 35 scientists 293–297 publications: 29 scientists 298–302 publications: 23 scientists 303–307 publications: 39 scientists 308–312 publications: 34 scientists 313–317 publications: 23 scientists 318–322 publications: 18 scientists 323–327 publications: 18 scientists 328–332 publications: 21 scientists 333–337 publications: 20 scientists 338–342 publications: 15 scientists 343–347 publications: 13 scientists 348–352 publications: 24 scientists 353–357 publications: 25 scientists 358–362 publications: 10 scientists 363–367 publications: 20 scientists 368–372 publications: 17 scientists 373–377 publications: 18 scientists 378–382 publications: 15 scientists 383–387 publications: 7 scientists 388–392 publications: 22 scientists 393–397 publications: 9 scientists 398–402 publications: 11 scientists 403–407 publications: 16 scientists 408–412 publications: 4 scientists 413–417 publications: 5 scientists 418–422 publications: 14 scientists 423–427 publications: 8 scientists 428–432 publications: 7 scientists 433–437 publications: 7 scientists 438–442 publications: 10 scientists 443–447 publications: 10 scientists 448–452 publications: 3 scientists 453–457 publications: 9 scientists 458–462 publications: 11 scientists 463–467 publications: 4 scientists 468–472 publications: 6 scientists 473–477 publications: 11 scientists 478–482 publications: 8 scientists 483–487 publications: 2 scientists 488–492 publications: 3 scientists 493–497 publications: 4 scientists 498–502 publications: 4 scientists 503–507 publications: 4 scientists 508–509 publications: 4 scientists 510+ publications: 100 scientists
38 publications 510+

This scientist: 247 publications — 76th percentile

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

The last bar groups every scientist with 510 publications or more.

Shenglian Guo D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Shenglian Guo sits on this spectrum.

30 D-Index: 15 scientists 31 D-Index: 42 scientists 32 D-Index: 60 scientists 33 D-Index: 90 scientists 34 D-Index: 103 scientists 35 D-Index: 108 scientists 36 D-Index: 142 scientists 37 D-Index: 147 scientists 38 D-Index: 147 scientists 39 D-Index: 152 scientists 40 D-Index: 143 scientists 41 D-Index: 157 scientists 42 D-Index: 141 scientists 43 D-Index: 151 scientists 44 D-Index: 140 scientists 45 D-Index: 135 scientists 46 D-Index: 121 scientists 47 D-Index: 108 scientists 48 D-Index: 128 scientists 49 D-Index: 111 scientists 50 D-Index: 106 scientists 51 D-Index: 112 scientists 52 D-Index: 102 scientists 53 D-Index: 103 scientists 54 D-Index: 94 scientists 55 D-Index: 61 scientists 56 D-Index: 101 scientists 57 D-Index: 71 scientists 58 D-Index: 65 scientists 59 D-Index: 78 scientists 60 D-Index: 93 scientists 61 D-Index: 56 scientists 62 D-Index: 58 scientists 63 D-Index: 52 scientists 64 D-Index: 63 scientists 65 D-Index: 49 scientists 66 D-Index: 53 scientists 67 D-Index: 57 scientists 68 D-Index: 50 scientists 69 D-Index: 44 scientists 70 D-Index: 44 scientists 71 D-Index: 31 scientists 72 D-Index: 33 scientists 73 D-Index: 33 scientists 74 D-Index: 23 scientists 75 D-Index: 32 scientists 76 D-Index: 24 scientists 77 D-Index: 17 scientists 78 D-Index: 19 scientists 79 D-Index: 9 scientists 80 D-Index: 21 scientists 81 D-Index: 20 scientists 82 D-Index: 17 scientists 83 D-Index: 19 scientists 84 D-Index: 19 scientists 85 D-Index: 14 scientists 86 D-Index: 6 scientists 87 D-Index: 14 scientists 88 D-Index: 17 scientists 89 D-Index: 10 scientists 90 D-Index: 8 scientists 91 D-Index: 8 scientists 92 D-Index: 9 scientists 93 D-Index: 6 scientists 94+ D-Index: 98 scientists
30 D-Index 94+

This scientist: 62 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 94 D-Index or more.

Overview

Shenglian Guo is affiliated with Wuhan University in China and specializes in Environmental Science. Their research spans a range of subfields including Global and Planetary Change, Water Science and Technology, Ocean Engineering, Environmental Engineering, and Atmospheric Science.

The scientist's work covers various main topics such as Hydrology and Watershed Management Studies, Flood Risk Assessment and Management, Hydrology and Drought Analysis, Climate Variability and Models, Water Resources Management and Optimization, Hydrological Forecasting Using AI, and Water-Energy-Food Nexus Studies.

Shenglian Guo has frequently published in several academic journals, notably:

  • Journal of Hydrology
  • Water
  • Hydrology and Earth System Sciences
  • Hydrology Research
  • Journal of Water Resources Planning and Management

Collaborations are a significant component of Guo's research, with regular co-authorship alongside Jiabo Yin, Chong-Yu Xu, Yanlai Zhou, Hua Chen, and Jie Chen.

Recent publications include:

  • Future socio-ecosystem productivity threatened by compound drought-heatwave events, 2023, Nature Sustainability
  • Toward Monitoring Short-Term Droughts Using a Novel Daily Scale, Standardized Antecedent Precipitation Evapotranspiration Index, 2020, Journal of Hydrometeorology
  • A standardized index for assessing sub-monthly compound dry and hot conditions with application in China, 2021, Hydrology and Earth System Sciences
  • Blending multi-satellite, atmospheric reanalysis and gauge precipitation products to facilitate hydrological modelling, 2020, Journal of Hydrology
  • Does the Hook Structure Constrain Future Flood Intensification Under Anthropogenic Climate Warming?, 2021, Water Resources Research

Best Publications

  • Large increase in global storm runoff extremes driven by climate and anthropogenic changes.

    Jiabo Yin;Jiabo Yin;Pierre Gentine;Sha Zhou;Sylvia C. Sullivan

  • Historical temporal trends of hydro-climatic variables and runoff response to climate variability and their relevance in water resource management in the Hanjiang basin

    Hua Chen;Shenglian Guo;Chong-yu Xu;Chong-yu Xu;Vijay P. Singh

  • Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoff

    Hua Chen;Hua Chen;Chong-Yu Xu;Chong-Yu Xu;Shenglian Guo

  • Future socio-ecosystem productivity threatened by compound drought–heatwave events

    Unknown

  • Mechanisms of lead biosorption on cellulose/chitin beads

    Dao Zhou;Lina Zhang;Shenglian Guo

  • Separating the impacts of climate change and human activities on runoff using the Budyko-type equations with time-varying parameters

    Cong Jiang;Lihua Xiong;Dingbao Wang;Pan Liu

  • Dynamic control of flood limited water level for reservoir operation by considering inflow uncertainty

    Xiang Li;Shenglian Guo;Pan Liu;Guiya Chen

  • A macro-scale and semi-distributed monthly water balance model to predict climate change impacts in China

    Shenglian Guo;Jinxing Wang;Lihua Xiong;Aiwen Ying

  • Scenario-based projections of future urban inundation within a coupled hydrodynamic model framework: A case study in Dongguan City, China

    Xushu Wu;Xushu Wu;Zhaoli Wang;Shenglian Guo;Weilin Liao

  • Optimizing utility-scale photovoltaic power generation for integration into a hydropower reservoir by incorporating long- and short-term operational decisions

    Bo Ming;Pan Liu;Shenglian Guo;Xiaoqi Zhang

  • Optimal design of seasonal flood limited water levels and its application for the Three Gorges Reservoir

    Pan Liu;Liping Li;Shenglian Guo;Lihua Xiong

  • Trend test and change-point detection for the annual discharge series of the Yangtze River at the Yichang hydrological station / Test de tendance et détection de rupture appliqués aux séries de débit annuel du fleuve Yangtze à la station hydrologique de Yichang

    Lihua Xiong;Shenglian Guo

  • A two-parameter monthly water balance model and its application

    Lihua Xiong;Shenglian Guo

  • Bivariate frequency analysis of nonstationary low‐flow series based on the time‐varying copula

    Cong Jiang;Lihua Xiong;Chong-Yu Xu;Chong-Yu Xu;Shenglian Guo

  • Return period and risk analysis of nonstationary low-flow series under climate change

    Tao Du;Lihua Xiong;Chong-Yu Xu;Chong-Yu Xu;Christopher J. Gippel

  • Toward Monitoring Short-Term Droughts Using a Novel Daily Scale, Standardized Antecedent Precipitation Evapotranspiration Index

    Jun Li;Zhaoli Wang;Xushu Wu;Chong-Yu Xu

  • A standardized index for assessing sub-monthly compound dry and hot conditions with application in China

    Jun Li;Zhaoli Wang;Xushu Wu;Jakob Zscheischler;Jakob Zscheischler;Jakob Zscheischler

  • Drought Analysis Using Copulas

    Unknown

  • Long-term complementary operation of a large-scale hydro-photovoltaic hybrid power plant using explicit stochastic optimization

    He Li;Pan Liu;Shenglian Guo;Bo Ming

  • Explore an evolutionary recurrent ANFIS for modelling multi-step-ahead flood forecasts

    Yanlai Zhou;Yanlai Zhou;Yanlai Zhou;Shenglian Guo;Fi-John Chang

  • Trend test and change-point detection for the annual discharge series of the Yangtze River at the Yichang hydrological station

    Lihua Xiong;Shenglian Guo

  • Incorporating ecological requirement into multipurpose reservoir operating rule curves for adaptation to climate change

    Yanlai Zhou;Shenglian Guo

  • Drought Analysis Using Copulas

    Lu Chen;Vijay P. Singh;Shenglian Guo;Ashok K. Mishra

  • Copula-based method for multisite monthly and daily streamflow simulation

    Lu Chen;Lu Chen;Vijay P. Singh;Shenglian Guo;Jianzhong Zhou

  • Derivation of Aggregation-Based Joint Operating Rule Curves for Cascade Hydropower Reservoirs

    Pan Liu;Shenglian Guo;Xiaowei Xu;Jionghong Chen

  • Uncertainties in assessing hydrological drought using streamflow drought index for the upper Yangtze River basin

    Xingjun Hong;Shenglian Guo;Yanlai Zhou;Lihua Xiong

Frequent Co-Authors

Chong-Yu Xu
Chong-Yu Xu North China University of Water Conservancy and Electric Power
Pan Liu
Pan Liu Shanghai Jiao Tong University
Fi-John Chang
Fi-John Chang National Taiwan University
Vijay P. Singh
Vijay P. Singh Texas A&M University
Lei Cheng
Lei Cheng Wuhan University
Jakob Zscheischler
Jakob Zscheischler Helmholtz Centre for Environmental Research
Dingbao Wang
Dingbao Wang University of Central Florida
Quanxi Shao
Quanxi Shao Commonwealth Scientific and Industrial Research Organisation
Jianzhong Zhou
Jianzhong Zhou Huazhong University of Science and Technology
Sha Zhou
Sha Zhou Columbia University

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