World's Best Scientists 2026 revealed!
Shenglian Guo

Shenglian Guo

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Earth Science 62 1700 1523 104 99 247 12654

Shenglian Guo publications per year

The chart shows the history of publications by Shenglian Guo between 1990 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Shenglian Guo published across 36 years, from 1990 to 2025, averaging 11.9 papers a year. Output peaked at 49 publications in 2022. 43 of the 427 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1990 to 2025. Vertical axis: number of publications, 0 to 49. Peak 49 publications in 2022. 1990: 2 publications 1991: 3 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 1 publication 2000: 0 publications 2001: 1 publication 2002: 1 publication 2003: 0 publications 2004: 6 publications 2005: 8 publications 2006: 4 publications 2007: 5 publications 2008: 3 publications 2009: 7 publications 2010: 8 publications 2011: 7 publications 2012: 8 publications 2013: 12 publications 2014: 20 publications 2015: 23 publications 2016: 21 publications 2017: 16 publications 2018: 38 publications 2019: 38 publications 2020: 38 publications 2021: 32 publications 2022: 49 publications 2023: 33 publications 2024: 24 publications 2025: 19 publications
1990 2025

427 publications in total across all disciplines

View publications per year as a table
Shenglian Guo: publications per year, 1990 to 2025
Year Publications
1990 2
1991 3
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 1
2000 0
2001 1
2002 1
2003 0
2004 6
2005 8
2006 4
2007 5
2008 3
2009 7
2010 8
2011 7
2012 8
2013 12
2014 20
2015 23
2016 21
2017 16
2018 38
2019 38
2020 38
2021 32
2022 49
2023 33
2024 24
2025 19
Total 427
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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.

No. of scientists
100 200 300 400 500
Bar chart with 58 bars. Horizontal axis: publications, 38–47 to 603+. Vertical axis: number of scientists, 0 to 557. Most scientists, 557, have 128–137 publications. The last bar groups every scientist with 603 publications or more. The highlighted bar, 238–247 publications, is where this scientist sits. 38–47 publications: 5 scientists 48–57 publications: 33 scientists 58–67 publications: 94 scientists 68–77 publications: 161 scientists 78–87 publications: 278 scientists 88–97 publications: 376 scientists 98–107 publications: 404 scientists 108–117 publications: 484 scientists 118–127 publications: 540 scientists 128–137 publications: 557 scientists 138–147 publications: 491 scientists 148–157 publications: 495 scientists 158–167 publications: 458 scientists 168–177 publications: 490 scientists 178–187 publications: 414 scientists 188–197 publications: 401 scientists 198–207 publications: 333 scientists 208–217 publications: 292 scientists 218–227 publications: 290 scientists 228–237 publications: 262 scientists 238–247 publications: 243 scientists 248–257 publications: 208 scientists 258–267 publications: 185 scientists 268–277 publications: 147 scientists 278–287 publications: 128 scientists 288–297 publications: 119 scientists 298–307 publications: 120 scientists 308–317 publications: 107 scientists 318–327 publications: 93 scientists 328–337 publications: 87 scientists 338–347 publications: 64 scientists 348–357 publications: 87 scientists 358–367 publications: 60 scientists 368–377 publications: 60 scientists 378–387 publications: 34 scientists 388–397 publications: 50 scientists 398–407 publications: 44 scientists 408–417 publications: 31 scientists 418–427 publications: 39 scientists 428–437 publications: 27 scientists 438–447 publications: 36 scientists 448–457 publications: 27 scientists 458–467 publications: 29 scientists 468–477 publications: 30 scientists 478–487 publications: 19 scientists 488–497 publications: 15 scientists 498–507 publications: 18 scientists 508–517 publications: 19 scientists 518–527 publications: 16 scientists 528–537 publications: 10 scientists 538–547 publications: 11 scientists 548–557 publications: 14 scientists 558–567 publications: 11 scientists 568–577 publications: 7 scientists 578–587 publications: 14 scientists 588–597 publications: 5 scientists 598–602 publications: 4 scientists 603+ publications: 100 scientists
38–47 publications 603+

This scientist: 247 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 603 publications or more.

View publications distribution as a table
Number of Earth Science scientists by publication count, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
Publications Scientists This scientist
38–47 5
48–57 33
58–67 94
68–77 161
78–87 278
88–97 376
98–107 404
108–117 484
118–127 540
128–137 557
138–147 491
148–157 495
158–167 458
168–177 490
178–187 414
188–197 401
198–207 333
208–217 292
218–227 290
228–237 262
238–247 243 247
248–257 208
258–267 185
268–277 147
278–287 128
288–297 119
298–307 120
308–317 107
318–327 93
328–337 87
338–347 64
348–357 87
358–367 60
368–377 60
378–387 34
388–397 50
398–407 44
408–417 31
418–427 39
428–437 27
438–447 36
448–457 27
458–467 29
468–477 30
478–487 19
488–497 15
498–507 18
508–517 19
518–527 16
528–537 10
538–547 11
548–557 14
558–567 11
568–577 7
578–587 14
588–597 5
598–602 4
603+ 100
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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.

No. of scientists
100 200 300
Bar chart with 77 bars. Horizontal axis: D-Index, 30 to 106+. Vertical axis: number of scientists, 0 to 389. Most scientists, 389, have 36 D-Index. The last bar groups every scientist with 106 D-Index or more. The highlighted bar, 62 D-Index, is where this scientist sits. 30 D-Index: 144 scientists 31 D-Index: 215 scientists 32 D-Index: 278 scientists 33 D-Index: 379 scientists 34 D-Index: 366 scientists 35 D-Index: 372 scientists 36 D-Index: 389 scientists 37 D-Index: 366 scientists 38 D-Index: 344 scientists 39 D-Index: 349 scientists 40 D-Index: 296 scientists 41 D-Index: 289 scientists 42 D-Index: 277 scientists 43 D-Index: 279 scientists 44 D-Index: 248 scientists 45 D-Index: 257 scientists 46 D-Index: 212 scientists 47 D-Index: 202 scientists 48 D-Index: 207 scientists 49 D-Index: 204 scientists 50 D-Index: 183 scientists 51 D-Index: 178 scientists 52 D-Index: 182 scientists 53 D-Index: 178 scientists 54 D-Index: 163 scientists 55 D-Index: 117 scientists 56 D-Index: 163 scientists 57 D-Index: 120 scientists 58 D-Index: 113 scientists 59 D-Index: 136 scientists 60 D-Index: 135 scientists 61 D-Index: 96 scientists 62 D-Index: 103 scientists 63 D-Index: 83 scientists 64 D-Index: 103 scientists 65 D-Index: 83 scientists 66 D-Index: 89 scientists 67 D-Index: 92 scientists 68 D-Index: 89 scientists 69 D-Index: 78 scientists 70 D-Index: 75 scientists 71 D-Index: 53 scientists 72 D-Index: 62 scientists 73 D-Index: 54 scientists 74 D-Index: 35 scientists 75 D-Index: 52 scientists 76 D-Index: 50 scientists 77 D-Index: 32 scientists 78 D-Index: 37 scientists 79 D-Index: 20 scientists 80 D-Index: 33 scientists 81 D-Index: 36 scientists 82 D-Index: 34 scientists 83 D-Index: 34 scientists 84 D-Index: 24 scientists 85 D-Index: 19 scientists 86 D-Index: 18 scientists 87 D-Index: 26 scientists 88 D-Index: 30 scientists 89 D-Index: 17 scientists 90 D-Index: 21 scientists 91 D-Index: 19 scientists 92 D-Index: 15 scientists 93 D-Index: 14 scientists 94 D-Index: 20 scientists 95 D-Index: 9 scientists 96 D-Index: 10 scientists 97 D-Index: 15 scientists 98 D-Index: 13 scientists 99 D-Index: 3 scientists 100 D-Index: 13 scientists 101 D-Index: 3 scientists 102 D-Index: 9 scientists 103 D-Index: 4 scientists 104 D-Index: 6 scientists 105 D-Index: 6 scientists 106+ D-Index: 98 scientists
30 D-Index 106+

This scientist: 62 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 106 D-Index or more.

View D-Index distribution as a table
Number of Earth Science scientists by D-index, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
D-Index Scientists This scientist
30 144
31 215
32 278
33 379
34 366
35 372
36 389
37 366
38 344
39 349
40 296
41 289
42 277
43 279
44 248
45 257
46 212
47 202
48 207
49 204
50 183
51 178
52 182
53 178
54 163
55 117
56 163
57 120
58 113
59 136
60 135
61 96
62 103 62
63 83
64 103
65 83
66 89
67 92
68 89
69 78
70 75
71 53
72 62
73 54
74 35
75 52
76 50
77 32
78 37
79 20
80 33
81 36
82 34
83 34
84 24
85 19
86 18
87 26
88 30
89 17
90 21
91 19
92 15
93 14
94 20
95 9
96 10
97 15
98 13
99 3
100 13
101 3
102 9
103 4
104 6
105 6
106+ 98
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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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