World's Best Scientists 2026 revealed!
Yuefei Huang

Yuefei Huang

D-Index & Metrics

Environmental Sciences

D-Index
43
Citations
6380
World Ranking
7172
National Ranking
704

Yuefei Huang 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 Yuefei Huang 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: 99 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Yuefei Huang 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 Yuefei Huang 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: 43 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

Yuefei Huang is affiliated with Tsinghua University in China and works primarily in the field of Environmental Science. Their research extensively covers several subfields, including Water Science and Technology, Global and Planetary Change, Industrial and Manufacturing Engineering, Ecology, and Environmental Engineering.

The topics that form the core of Huang's research include:

  • Phosphorus and nutrient management
  • Hydrology and watershed management studies
  • Flood risk assessment and management
  • Plant water relations and carbon dynamics
  • Coastal wetland ecosystem dynamics
  • Adsorption and biosorption for pollutant removal
  • Hydrological forecasting using AI

Huang has contributed to notable recent publications. These include:

  • Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation, 2020, Journal of Hydrology
  • Artificial neural network based hybrid modeling approach for flood inundation modeling, 2020, Journal of Hydrology
  • 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
  • Detecting drought-induced GPP spatiotemporal variabilities with sun-induced chlorophyll fluorescence during the 2009/2010 droughts in China, 2020, Ecological Indicators

Frequent coauthors in Huang's research collaborations include:

  • Jing-Cheng Han
  • Bing Li
  • Xiaofeng Wu
  • Guangqian Wang
  • Yang Zhou

Huang commonly publishes in several academic journals, among them:

  • The Science of The Total Environment
  • Chemical Engineering Journal
  • Journal of Hydrology
  • Journal of Cleaner Production
  • Journal of Hazardous Materials

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

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

    Sha Zhou;Bofu Yu;Yao Zhang;Yuefei Huang

  • An integrated fuzzy-stochastic modeling approach for risk assessment of groundwater contamination.

    Jianbing Li;Gordon H. Huang;Gordon H. Huang;Guangming Zeng;Imran Maqsood

  • A multistage fuzzy-stochastic programming model for supporting sustainable water-resources allocation and management

    Y. P. Li;G. H. Huang;Y. F. Huang;H. D. Zhou

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

    Sha Zhou;Bofu Yu;Yuefei Huang;Guangqian Wang

  • AN INTERVAL-PARAMETER FUZZY NONLINEAR OPTIMIZATION MODEL FOR STREAM WATER QUALITY MANAGEMENT UNDER UNCERTAINTY

    Xiao-Sheng Qin;Xiao-Sheng Qin;Guo H. Huang;Guo H. Huang;Guang-Ming Zeng;A. Chakma

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

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

  • Development of an artificial neural network model for predicting minimum miscibility pressure in CO2 flooding

    Y.F. Huang;Y.F. Huang;G.H. Huang;G.H. Huang;M.Z. Dong;G.M. Feng;G.M. Feng

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

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

  • The complementary relationship and generation of the Budyko functions

    Sha Zhou;Bofu Yu;Yuefei Huang;Guangqian Wang

  • ITOM : an interval-parameter two-stage optimization model for stochastic planning of water resources systems

    Imran Maqsood;Guohe Huang;Yuefei Huang;Bing Chen

  • The contribution of reduction in evaporative cooling to higher surface air temperatures during drought

    Dongqin Yin;Dongqin Yin;Michael L. Roderick;Michael L. Roderick;Guy Leech;Fubao Sun;Fubao Sun

  • 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

  • Violation analysis for solid waste management systems: an interval fuzzy programming approach

    Y.F. Huang;B.W. Baetz;B.W. Baetz;G.H. Huang;L. Liu;L. Liu

  • A Multi-objective Linear Programming Model with Interval Parameters for Water Resources Allocation in Dalian City

    Yan Han;Yue-Fei Huang;Guang-Qian Wang;Imran Maqsood

  • Artificial neural network based hybrid modeling approach for flood inundation modeling

    Shuai Xie;Wenyan Wu;Sebastian Mooser;Q.J. Wang

  • A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms

    Unknown

  • 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

  • Diel ecosystem conductance response to vapor pressure deficit is suboptimal and independent of soil moisture

    Changjie Lin;Changjie Lin;Pierre Gentine;Yuefei Huang;Yuefei Huang;Kaiyu Guan

  • 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

  • Vegetation response to climate conditions based on NDVI simulations using stepwise cluster analysis for the Three-River Headwaters region of China

    Yutong Zheng;Jingcheng Han;Yuefei Huang;Yuefei Huang;Steven R. Fassnacht

  • 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

Guangqian Wang
Guangqian Wang Tsinghua University
Sha Zhou
Sha Zhou Columbia University
Guohe Huang
Guohe Huang University of Regina
Bofu Yu
Bofu Yu Griffith University
Songdong Shao
Songdong Shao University of Sheffield
Jianbing Li
Jianbing Li University of Northern British Columbia
Yao Zhang
Yao Zhang Peking University
Xiaosheng Qin
Xiaosheng Qin Nanyang Technological University
Yiqi Luo
Yiqi Luo Cornell University
Christopher R. Schwalm
Christopher R. Schwalm Woodwell Climate Research Center

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Related Online Degrees & Career Pathways

For students interested in Environmental Sciences, expanding your education with related online degrees can open diverse career pathways. Public administration degrees, such as online MPA degrees, prepare graduates for leadership roles in environmental policy and nonprofit management, crucial for tackling sustainability challenges.

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For those aiming at advanced educational roles, there are streamlined options like online EdD programs without dissertation, which allow for efficient completion of doctoral degrees tailored to environmental education leadership.

Additionally, professionals seeking further advancement can explore bridge programs such as the EdS to EdD bridge program, designed to transition educators from specialist certification to doctoral qualifications, enhancing expertise and career potential in environmental education.

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