World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
51
Citations
8683
World Ranking
4787
National Ranking
1765

Guiling Wang 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 Guiling Wang 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: 222 publications — 71st percentile

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

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

Guiling Wang 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 Guiling Wang 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: 51 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Guiling Wang is affiliated with the University of Connecticut in the United States. Their research primarily focuses on environmental science and earth and planetary sciences, with considerable contributions to related subfields such as global and planetary change, atmospheric science, geophysics, environmental engineering, and plant science.

The research topics covered by Guiling Wang's work include:

  • Climate variability and models
  • Plant water relations and carbon dynamics
  • Meteorological phenomena and simulations
  • Geological and geochemical analysis
  • Hydrology and drought analysis
  • Climate change impacts on agriculture
  • Hydrocarbon exploration and reservoir analysis

The scientist has published extensively in several venues, with frequent publications appearing in:

  • SSRN Electronic Journal
  • Journal of Hydrometeorology
  • Geothermics
  • Geophysical Research Letters
  • The Science of The Total Environment

Among the recent papers authored or coauthored by Guiling Wang are:

  • A hybrid deep learning algorithm and its application to streamflow prediction (2021), Journal of Hydrology
  • Flash drought early warning based on the trajectory of solar-induced chlorophyll fluorescence (2022), Proceedings of the National Academy of Sciences
  • The role of climate in the trend and variability of Ethiopia's cereal crop yields (2020), The Science of The Total Environment
  • Impact of planting time soil moisture on cereal crop yield in the Upper Blue Nile Basin: A novel insight towards agricultural water management (2020), Agricultural Water Management
  • Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design (2021), Geoscientific Model Development

Guiling Wang has collaborated frequently with several coauthors, most notably:

  • Yelin Jiang (9 collaborations)
  • Meijian Yang (9 collaborations)
  • Miao Yu (6 collaborations)
  • Weiguang Liu (5 collaborations)
  • Xi Zhu (5 collaborations)

Best Publications

  • Agricultural drought in a future climate: results from 15 global climate models participating in the IPCC 4th assessment

    Guiling Wang

  • Regime Shifts in the Sahara and Sahel: Interactions between Ecological and Climatic Systems in Northern Africa

    Jonathan A. Foley;Michael T. Coe;Marten Scheffer;Guiling Wang

  • The peak structure and future changes of the relationships between extreme precipitation and temperature

    Guiling Wang;Dagang Wang;Dagang Wang;Kevin E. Trenberth;Amir Erfanian

  • Statistical Downscaling and Bias Correction of Climate Model Outputs for Climate Change Impact Assessment in the U.S. Northeast

    Kazi Farzan Ahmed;Guiling Wang;John Silander;Adam M. Wilson

  • Ecosystem dynamics and the Sahel Drought

    Guiling Wang;Elfatih A. B. Eltahir

  • Response of isoprene emission to ambient CO2 changes and implications for global budgets

    Colette L. Heald;Michael J. Wilkinson;Russell K. Monson;Russell K. Monson;Clement A. Alo

  • Role of vegetation dynamics in enhancing the low-frequency variability of the Sahel rainfall

    Guiling Wang;Elfatih A. B. Eltahir

  • Unprecedented drought over tropical South America in 2016: significantly under-predicted by tropical SST

    Amir Erfanian;Guiling Wang;Lori Fomenko

  • Biosphere—atmosphere interactions over West Africa. II: Multiple climate equilibria

    Guiling Wang;Elfatih A. B. Eltahir

  • Potential future changes of the terrestrial ecosystem based on climate projections by eight general circulation models

    Clement Aga Alo;Guiling Wang

  • Spatiotemporal characteristics in ecosystem service value and its interaction with human activities in Xinjiang, China

    Unknown

  • Decadal variability of rainfall in the Sahel: results from the coupled GENESIS-IBIS atmosphere-biosphere model

    G. Wang;E. A. B. Eltahir;J. A. Foley;D. Pollard

  • A hybrid deep learning algorithm and its application to streamflow prediction

    Yongen Lin;Dagang Wang;Guiling Wang;Jianxiu Qiu

  • CLIMATE CHANGE ,C LIMATE MODES, AND CLIMATE IMPACTS

    Guiling Wang;David Schimel

  • Assessing future climate changes and extreme indicators in east and south Asia using the RegCM4 regional climate model

    Huanghe Gu;Huanghe Gu;Guiling Wang;Zhongbo Yu;Rui Mei

  • Quantifying the strength of soil moisture-precipitation coupling and its sensitivity to changes in surface water budget

    Guiling Wang;Yeonjoo Kim;Dagang Wang

  • Flash drought early warning based on the trajectory of solar-induced chlorophyll fluorescence

    Unknown

  • Evaluation of canopy interception schemes in land surface models

    Dagang Wang;Guiling Wang;Emmanouil N. Anagnostou

  • Impact of climate change on hydrological extremes in the Yangtze River Basin, China

    Huanghe Gu;Zhongbo Yu;Zhongbo Yu;Guiling Wang;Jigan Wang

  • Role of resolution in regional climate change projections over China

    Ying Shi;Guiling Wang;Xuejie Gao

  • Use of ENSO information in medium- and long-range forecasting of the Nile floods

    Guiling Wang;Elfatih A. B. Eltahir

  • Summer Land–Atmosphere Coupling Strength in the United States: Comparison among Observations, Reanalysis Data, and Numerical Models

    Rui Mei;Guiling Wang

Frequent Co-Authors

Wensheng Zhang
Wensheng Zhang Iowa State University
Emmanouil N. Anagnostou
Emmanouil N. Anagnostou University of Connecticut
Zhongbo Yu
Zhongbo Yu Hohai University
Guohong Cao
Guohong Cao Pennsylvania State University
Jeremy S. Pal
Jeremy S. Pal Loyola Marymount University
Liangzhi You
Liangzhi You International Food Policy Research Institute
Yongkang Xue
Yongkang Xue University of California, Los Angeles
Zhu Han
Zhu Han University of Houston
Sarith Mahanama
Sarith Mahanama National Aeronautics and Space Administration

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