World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
3239
World Ranking
8532
National Ranking
547

Yurui Fan publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Yurui Fan sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 108 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Yurui Fan D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Yurui Fan sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 37 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Yurui Fan is affiliated with Brunel University London in the United Kingdom and has focused their research primarily in the fields of environmental science and engineering. Their work spans multiple subfields, including global and planetary change, water science and technology, ocean engineering, atmospheric science, and civil and structural engineering.

Their research addresses a range of topics, prominently featuring hydrology and watershed management studies, water resources management and optimization, hydrology and drought analysis, and the water-energy-food nexus. Additionally, their studies involve flood risk assessment and management, climate variability and models, and water systems and optimization.

Frequent publication venues for Yurui Fan include:

  • Journal of Hydrology
  • Journal of Environmental Informatics
  • Water
  • Agricultural Water Management
  • Renewable and Sustainable Energy Reviews

Yurui Fan has collaborated extensively, with frequent co-authors such as Guohe Huang, Yongping Li, Junhong Guo, Xiuquan Wang, and L. Yu.

Their recent notable papers include:

  • Optimization of uncertain agricultural management considering the framework of water, energy and food (2021), Agricultural Water Management
  • A copula-based fuzzy interval-random programming approach for planning water-energy nexus system under uncertainty (2020), Energy
  • Evaluating water-energy-food system of Yellow River basin based on type-2 fuzzy sets and Pressure-State-Response model (2022), Agricultural Water Management
  • Robust Subsampling ANOVA Methods for Sensitivity Analysis of Water Resource and Environmental Models (2020), Water Resources Management
  • Parameter Uncertainty and Sensitivity Evaluation of Copula-Based Multivariate Hydroclimatic Risk Assessment (2021), Journal of Environmental Informatics

Best Publications

  • A Robust Two-Step Method for Solving Interval Linear Programming Problems within an Environmental Management Context

    Y. R. Fan;G. H. Huang

  • Crop planning and water resource allocation for sustainable development of an irrigation region in China under multiple uncertainties

    G. Niu;Y.P. Li;Y.P. Li;G.H. Huang;J. Liu

  • Impacts of future climate change on river discharge based on hydrological inference: A case study of the Grand River Watershed in Ontario, Canada.

    Zhong Li;Guohe Huang;Xiuquan Wang;Jingcheng Han

  • Generalized fuzzy linear programming for decision making under uncertainty: Feasibility of fuzzy solutions and solving approach

    Y. R. Fan;G. H. Huang;G. H. Huang;A. L. Yang

  • A copula-based flexible-stochastic programming method for planning regional energy system under multiple uncertainties: A case study of the urban agglomeration of Beijing and Tianjin

    L. Yu;L. Yu;Y.P. Li;Y.P. Li;G.H. Huang;G.H. Huang;Y.R. Fan

  • Maximum entropy-Gumbel-Hougaard copula method for simulation of monthly streamflow in Xiangxi river, China

    X. M. Kong;G. H. Huang;Y. R. Fan;Y. P. Li

  • Planning water-energy-food nexus system management under multi-level and uncertainty

    L. Yu;Y. Xiao;X.T. Zeng;Y.P. Li

  • Hydrologic risk analysis in the Yangtze River basin through coupling Gaussian mixtures into copulas

    Y.R. Fan;W.W. Huang;G.H. Huang;Y.P. Li

  • Optimization of uncertain agricultural management considering the framework of water, energy and food

    Qiting Zuo;Qingsong Wu;Lei Yu;Yongping Li

  • Bivariate hydrologic risk analysis based on a coupled entropy-copula method for the Xiangxi River in the Three Gorges Reservoir area, China

    Y. R. Fan;W. W. Huang;G. H. Huang;G. H. Huang;K. Huang

  • Evaluation of remedial options for a benzene-contaminated site through a simulation-based fuzzy-MCDA approach.

    A. L. Yang;G. H. Huang;Xiaosheng Qin;Y. R. Fan

  • Analyzing climate change impacts on water resources under uncertainty using an integrated simulation-optimization approach

    X.W. Zhuang;Y.P. Li;S. Nie;Y.R. Fan

  • A nonlinear fractional programming approach for environmental–economic power dispatch

    F. Chen;G.H. Huang;G.H. Huang;Y.R. Fan;R.F. Liao

  • Planning of municipal solid waste management systems under dual uncertainties: a hybrid interval stochastic programming approach

    G. H. Cheng;G. H. Huang;Y. P. Li;M. F. Cao

  • A copula-based fuzzy chance-constrained programming model and its application to electric power generation systems planning

    F. Chen;G.H. Huang;G.H. Huang;Y.R. Fan;J.P. Chen

  • A Bayesian-based multilevel factorial analysis method for analyzing parameter uncertainty of hydrological model

    Y.R. Liu;Y.P. Li;Y.P. Li;G.H. Huang;G.H. Huang;J.L. Zhang

  • A copula-based fuzzy interval-random programming approach for planning water-energy nexus system under uncertainty

    L. Yu;Y. Xiao;S. Jiang;Y.P. Li

  • Development of a copula-based particle filter (CopPF) approach for hydrologic data assimilation under consideration of parameter interdependence

    Y. R. Fan;G. H. Huang;G. H. Huang;B. W. Baetz;Y. P. Li

  • An Integrated Risk Analysis Method for Planning Water Resource Systems to Support Sustainable Development of An Arid Region

    Y. P. Li;S. Nie;Charley Z. Huang;E. A. McBean

  • Multivariate flood risk analysis for Wei River

    Ye Xu;Guohe Huang;Yurui Fan

Frequent Co-Authors

Guohe Huang
Guohe Huang University of Regina
Brian W. Baetz
Brian W. Baetz McMaster University
Hua Zhang
Hua Zhang City University of Hong Kong
Shan Zhao
Shan Zhao University of Alabama
Chunjiang An
Chunjiang An Concordia University
Ximing Cai
Ximing Cai University of Illinois at Urbana-Champaign
Ping Guo
Ping Guo China Agricultural University
Edward A. McBean
Edward A. McBean University of Guelph
Zhijun Li
Zhijun Li Tongji University
Feng Chen
Feng Chen Shenzhen University

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