World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
6611
World Ranking
5606
National Ranking
1566

Xiong Yu 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 Xiong Yu 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: 251 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Xiong Yu 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 Xiong Yu 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: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Xiong Yu is affiliated with Case Western Reserve University in the United States. Their research spans multiple interconnected fields within engineering and environmental science, focusing on areas that intersect infrastructure, environmental systems, and computational methods.

Their main fields of study include:

  • Engineering
  • Environmental Science

Within these disciplines, Xiong Yu has specialized subfields of research activity such as:

  • Civil and Structural Engineering
  • Biomedical Engineering
  • Atmospheric Science
  • Environmental Engineering
  • Computational Mechanics

Xiong Yu has contributed to research topics including:

  • Water Systems and Optimization
  • Infrastructure Maintenance and Monitoring
  • Fluid Dynamics and Mixing
  • Geotechnical Engineering and Underground Structures
  • Climate Change and Permafrost
  • Landslides and Related Hazards
  • Smart Materials for Construction

The recent papers by Xiong Yu or closely associated in their research environment include:

  • "Machine Learning: New Ideas and Tools in Environmental Science and Engineering" (2021), Environmental Science & Technology
  • "Bio-inspired geotechnical engineering: principles, current work, opportunities and challenges" (2021), Géotechnique
  • "Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors" (2021), Reliability Engineering & System Safety
  • "PSO-SVM-based deep displacement prediction of Majiagou landslide considering the deformation hysteresis effect" (2020), Landslides
  • "Molecular image-convolutional neural network (CNN) assisted QSAR models for predicting contaminant reactivity toward OH radicals: Transfer learning, data augmentation and model interpretation" (2020), Chemical Engineering Journal

Frequent co-authors in Xiong Yu's collaborative network are:

  • Xudong Fan
  • Xijin Zhang
  • Han Zhou
  • Shan Jing
  • Wenjie Lan

Xiong Yu frequently publishes in the following venues:

  • Research Square (Research Square)
  • Journal of Infrastructure Preservation and Resilience
  • Catalysts
  • Transportation Geotechnics
  • Chemical Engineering Science

In addition to journal publications, Xiong Yu has authored a book titled "Subgrade Soil Susceptibility to Shrink/Swell and Frost Heave: Effects on Pavement Performance," published in 2024 by Transportation Research Board eBooks.

Best Publications

  • Machine Learning: New Ideas and Tools in Environmental Science and Engineering

    Shifa Zhong;Kai Zhang;Majid Bagheri;Joel G. Burken

  • A review of bridge scour: mechanism, estimation, monitoring and countermeasures

    Chen Wang;Chen Wang;Xiong Yu;Fayun Liang

  • SOIL WATER CONTENT AND DRY DENSITY BY TIME DOMAIN REFLECTOMETRY

    Xiong Yu;Vincent P. Drnevich

  • Hair flow sensors: from bio-inspiration to bio-mimicking—a review

    Unknown

  • Coupled thermo-hydro-mechanical model for porous materials under frost action: theory and implementation

    Zhen Liu;Xiong Yu

  • Sensitivity analysis of a vertical geothermal heat pump system

    Chanjuan Han;Xiong (Bill) Yu

  • Bio-inspired Geotechnical Engineering: Principles, Current Work, Opportunities and Challenges

    Alejandro Martinez;Jason DeJong;Idil Akin;Ali Aleali

  • Laboratory study on the mechanical behaviors of an anisotropic shale rock

    Quan Gao;Junliang Tao;Jianying Hu;Xiong (Bill) Yu

  • Preparation and characterization of three dimensional graphene foam supported platinum-ruthenium bimetallic nanocatalysts for hydrogen peroxide based electrochemical biosensors.

    Chih Chien Kung;Po Yuan Lin;Frederick John Buse;Yuhua Xue

  • Adaptive thermochromic roof system: Assessment of performance under different climates

    Unknown

  • PSO-SVM-based deep displacement prediction of Majiagou landslide considering the deformation hysteresis effect

    Lei Zhang;Bin Shi;Honghu Zhu;Xiong Bill Yu

  • Molecular image-convolutional neural network (CNN) assisted QSAR models for predicting contaminant reactivity toward OH radicals: Transfer learning, data augmentation and model interpretation

    Shifa Zhong;Jiajie Hu;Xiong Yu;Huichun Zhang

  • Time Domain Reflectometry Automatic Bridge Scour Measurement System: Principles and Potentials:

    Xinbao Yu;Xiong Yu

  • A deep neural network combined with molecular fingerprints (DNN-MF) to develop predictive models for hydroxyl radical rate constants of water contaminants.

    Shifa Zhong;Jiajie Hu;Xudong Fan;Xiong Yu

  • Three dimensional graphene foam supported platinum-ruthenium bimetallic nanocatalysts for direct methanol and direct ethanol fuel cell applications

    Chih Chien Kung;Po Yuan Lin;Yuhua Xue;Rohan Akolkar

  • Investigation of internal curing effects on microstructure and permeability of interface transition zones in cement mortar with SEM imaging, transport simulation and hydration modeling techniques

    Xiao Sun;Bin Zhang;Qingli Dai;Xiong Yu

  • Physically Based Equation for Phase Composition Curve of Frozen Soils

    Zhen Liu;Xiong Yu

  • Adaptive building roof by coupling thermochromic material and phase change material: Energy performance under different climate conditions

    Jianying Hu;Xiong (Bill) Yu

  • An innovative energy pile technology to expand the viability of geothermal bridge deck snow melting for different United States regions: Computational assisted feasibility analyses

    Chanjuan Han;Xiong (Bill) Yu;Xiong (Bill) Yu

  • Time domain reflectometry for water content and density of soils: study of soil-dependent calibration constants

    V P Drnevich;A K Ashmawy;X Yu;A M Sallam

  • Performance Evaluation of Water Distribution Systems and Asset Management

    Ram K. Mazumder;Abdullahi M. Salman;Yue Li;Xiong Yu

  • LiDAR technology for wind energy potential assessment: Demonstration and validation at a site around Lake Erie

    Jiale Li;Xiong (Bill) Yu

Frequent Co-Authors

Chung-Chiun Liu
Chung-Chiun Liu Case Western Reserve University
Qingli Dai
Qingli Dai Michigan Technological University
Liming Dai
Liming Dai University of New South Wales
Yunmin Chen
Yunmin Chen Zhejiang University
Renpeng Chen
Renpeng Chen Zhejiang University
Liqun Zhang
Liqun Zhang Xi'an Jiaotong University
Zhiyong Jason Ren
Zhiyong Jason Ren Princeton University
Gary E. Wnek
Gary E. Wnek Case Western Reserve University
Bryan M. Wong
Bryan M. Wong University of California, Riverside
Theodore M. DeJong
Theodore M. DeJong University of California, Davis

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