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Guangqian Wang

Guangqian Wang

Guangqian Wang 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 Guangqian Wang 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+

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

Guangqian Wang 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 Guangqian Wang 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+

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

Overview

Guangqian Wang is affiliated with Tsinghua University in China and has contributed extensively to research in environmental science, earth and planetary sciences, and engineering. Their work primarily explores areas related to atmospheric science, global and planetary change, and water science and technology, supported by a substantial number of publications in these subfields.

The scientist's research covers key topics such as climate variability and models, meteorological phenomena and simulations, precipitation measurement and analysis, hydrology and watershed management studies, aerosol filtration and electrostatic precipitation, flood risk assessment and management, and hydrology and sediment transport processes. These topics indicate a focus on understanding and modeling environmental and climatic dynamics.

Guangqian Wang has published papers in various reputable scientific venues. Frequent publication venues include Atmospheric Research, Hydrosphere, Journal of Hydrology, International Journal of Climatology, and Proceedings of the National Academy of Sciences, highlighting an established presence in both atmospheric and hydrological research domains.

Their recent papers include:

  • Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation, 2020, Journal of Hydrology
  • Climate change threatens terrestrial water storage over the Tibetan Plateau, 2022, Nature Climate Change
  • A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms, 2022, Scientific Data
  • Effects of soil water content on forest ecosystem water use efficiency through changes in transpiration/evapotranspiration ratio, 2021, Agricultural and Forest Meteorology
  • A review of the migration mechanism of antibiotics during struvite recovery from wastewater, 2023, Chemical Engineering Journal

Collaboration forms an integral part of Guangqian Wang's research activities. They have frequently co-authored work with the following researchers:

  • Deyu Zhong
  • Yuefei Huang
  • Jiahua Wei
  • Tiejian Li
  • Yinglin Tian

Best Publications

  • Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

    Shuai Gao;Yuefei Huang;Yuefei Huang;Shuo Zhang;Jingcheng Han

  • Climate change threatens terrestrial water storage over the Tibetan Plateau

    Unknown

  • Phosphorous recovery through struvite crystallization: Challenges for future design.

    Bing Li;Irina Boiarkina;Wei Yu;Hai Ming Huang

  • Partitioning evapotranspiration based on the concept of underlying water use efficiency

    Sha Zhou;Bofu Yu;Yao Zhang;Yuefei Huang

  • Modelling dam-break flows over mobile beds using a 2D coupled approach

    Junqiang Xia;Junqiang Xia;Binliang Lin;Roger A. Falconer;Guangqian Wang

  • The effect of vapor pressure deficit on water use efficiency at the subdaily time scale

    Sha Zhou;Bofu Yu;Yuefei Huang;Guangqian Wang

  • Effects of vegetation stems on hydraulics of overland flow under varying water discharges.

    Chunhong Zhao;Chunhong Zhao;Jian'en Gao;Yuefei Huang;Guangqian Wang

  • Three-Dimensional Mathematical Model of Suspended-Sediment Transport

    Hong-Wei Fang;Guang-Qian Wang

  • Sedimentation problems and management strategies of Sanmenxia Reservoir, Yellow River, China

    Guangqian Wang;Baosheng Wu;Zhao-Yin Wang

  • Response of bankfull discharge to discharge and sediment load in the Lower Yellow River

    Baosheng Wu;Guangqian Wang;Junqiang Xia;Xudong Fu

  • Phosphorus recovery through struvite crystallisation: Recent developments in the understanding of operational factors.

    Bing Li;Hai Ming Huang;Irina Boiarkina;Wei Yu

  • Case Study: River Training and Its Effects on Fluvial Processes in the Lower Yellow River, China

    Baosheng Wu;Guangqian Wang;Jiming Ma;Ren Zhang

  • Fluvial processes and morphological response in the Yellow and Weihe Rivers to closure and operation of Sanmenxia Dam

    Zhao‐Yin Wang;Baosheng Wu;Guangqian Wang

  • Explaining inter-annual variability of gross primary productivity from plant phenology and physiology

    Sha Zhou;Sha Zhou;Yao Zhang;Kelly K. Caylor;Yiqi Luo;Yiqi Luo

  • Spatiotemporal distribution of snow in eastern Tibet and the response to climate change

    Jie Gao;Jie Gao;Mark W. Williams;Xudong Fu;Guangqian Wang

  • Revealing the water-energy-food nexus in the Upper Yellow River Basin through multi-objective optimization for reservoir system.

    Yuan Si;Yuan Si;Xiang Li;Dong Qin Yin;Tiejian Li;Tiejian Li

  • Daily underlying water use efficiency for AmeriFlux sites

    Sha Zhou;Bofu Yu;Yuefei Huang;Guangqian Wang

  • Effects of human activities on the eco-environment in the middle Heihe River Basin based on an extended environmental Kuznets curve model

    Sha Zhou;Yuefei Huang;Bofu Yu;Guangqian Wang

  • A water-energy balance approach for multi-category drought assessment across globally diverse hydrological basins

    Baoqing Zhang;Baoqing Zhang;Amir AghaKouchak;Yuting Yang;Jiahua Wei

  • A parallel dynamic programming algorithm for multi-reservoir system optimization

    Xiang Li;Jiahua Wei;Tiejian Li;Guangqian Wang

  • Water use efficiency and evapotranspiration partitioning for three typical ecosystems in the Heihe River Basin, northwestern China

    Sha Zhou;Bofu Yu;Yao Zhang;Yuefei Huang;Yuefei Huang

  • The Contribution of Astragalus adsurgens Roots and Canopy to Water Erosion Control in the Water–Wind Crisscrossed Erosion Region of the Loess Plateau, China

    Chunhong Zhao;Chunhong Zhao;Jian'en Gao;Jian'en Gao;Yuefei Huang;Guangqian Wang

Frequent Co-Authors

Yuefei Huang
Yuefei Huang Tsinghua University
Junqiang Xia
Junqiang Xia Wuhan University
Sha Zhou
Sha Zhou Columbia University
Gary Parker
Gary Parker University of Illinois at Urbana-Champaign
Zhaoyin Wang
Zhaoyin Wang Tsinghua University
Hao Wang
Hao Wang Tianjin University
Bofu Yu
Bofu Yu Griffith University
Bellie Sivakumar
Bellie Sivakumar Indian Institute of Technology Bombay
Songdong Shao
Songdong Shao University of Sheffield
Christopher R. Schwalm
Christopher R. Schwalm Woodwell Climate Research Center

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