World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
49
Citations
9517
World Ranking
4297
National Ranking
851

Haibo Huang 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 Haibo Huang 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: 156 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Haibo Huang 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 Haibo Huang 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: 49 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Overview

Haibo Huang is affiliated with the University of Science and Technology of China. Their research predominantly lies within the field of Engineering, with a strong focus on several subfields including Computational Mechanics, Automotive Engineering, Aerospace Engineering, Biomedical Engineering, and Renewable Energy, Sustainability and the Environment.

The main topics of Haibo Huang's work cover a range of specialized areas such as Vehicle Noise and Vibration Control, Lattice Boltzmann Simulation Studies, Acoustic Wave Phenomena Research, Biomimetic Flight and Propulsion Mechanisms, Micro and Nano Robotics, Fluid Dynamics and Heat Transfer, and Noise Effects and Management. This breadth reflects an interdisciplinary approach that intersects mechanics, acoustics, and engineering applications.

Recent significant publications include:

  • Deep learning methods for super-resolution reconstruction of turbulent flows, 2020, Physics of Fluids
  • Uncertainty optimization of pure electric vehicle interior tire/road noise comfort based on data-driven, 2021, Mechanical Systems and Signal Processing
  • Multitarget prediction and optimization of pure electric vehicle tire/road airborne noise sound quality based on a knowledge- and data-driven method, 2023, Mechanical Systems and Signal Processing
  • Sound quality prediction and improving of vehicle interior noise based on deep convolutional neural networks, 2020, Expert Systems with Applications
  • Engineering Hierarchical Architecture of Metal-Organic Frameworks for Highly Efficient Overall CO2 Photoreduction, 2022, Small

Haibo Huang frequently collaborates with colleagues who have contributed extensively to their joint research efforts. Frequent coauthors include Xi-Yun Lu, Weiping Ding, Yudong Wu, Kui Liu, and Mingliang Yang.

Their work is regularly published in reputable scientific journals, with a concentration in venues such as Physics of Fluids, Journal of Fluid Mechanics, Physical Review Fluids, Physical Review E, and Sound & Vibration. These journals reflect the integration of fluid mechanics, acoustics, and applied engineering research in their output.

Best Publications

  • Near infrared spectroscopy for on/in-line monitoring of quality in foods and beverages: A review

    Haibo Huang;Haiyan Yu;Huirong Xu;Yibin Ying

  • Proposed approximation for contact angles in Shan-and-Chen-type multicomponent multiphase lattice Boltzmann models.

    Haibo Huang;Daniel T. Thorne;Marcel G. Schaap;Michael C. Sukop

  • Multiphase Lattice Boltzmann Methods: Theory and Application: Huang/Multiphase Lattice Boltzmann Methods: Theory and Application

    Haibo Huang;Michael C. Sukop;Xi-Yun Lu

  • Deep learning methods for super-resolution reconstruction of turbulent flows

    Bo Liu;Jiupeng Tang;Haibo Huang;Xi-Yun Lu

  • Sustainable Electric Vehicle Batteries for a Sustainable World: Perspectives on Battery Cathodes, Environment, Supply Chain, Manufacturing, Life Cycle, and Policy

    Unknown

  • Multiphase Lattice Boltzmann Methods: Theory and Application

    Haibo Huang;Michael C. Sukop;Xi-Yun Lu

  • Forcing term in single-phase and Shan-Chen-type multiphase lattice Boltzmann models.

    Haibo Huang;Haibo Huang;Manfred Krafczyk;Xiyun Lu

  • Multiphase lattice Boltzmann flux solver for incompressible multiphase flows with large density ratio

    Y. Wang;C. Shu;H.B. Huang;C.J. Teo

  • Visible-light-driven photocatalytic H2 evolution over CdZnS nanocrystal solid solutions: interplay of twin structures, sulfur vacancies and sacrificial agents

    Hai-Bo Huang;Hai-Bo Huang;Zhi-Bin Fang;Kai Yu;Jian Lü;Jian Lü

  • Evaluation of three lattice Boltzmann models for multiphase flows in porous media

    Haibo Huang;Lei Wang;Xi-yun Lu

  • Shan-and-Chen-type multiphase lattice Boltzmann study of viscous coupling effects for two-phase flow in porous media

    Haibo Huang;Zhitao Li;Shuaishuai Liu;Xi-yun Lu

  • Integrated processing of plant-derived waste to produce value-added products based on the biorefinery concept

    Qing Jin;Liangcheng Yang;Nicholas Poe;Haibo Huang

  • Relative permeabilities and coupling effects in steady-state gas-liquid flow in porous media: A lattice Boltzmann study

    Haibo Huang;Xi-yun Lu

  • Study of immiscible displacements in porous media using a color-gradient-based multiphase lattice Boltzmann method

    Haibo Huang;Jun-Jie Huang;Xi-Yun Lu

  • Butanol production from food waste: A novel process for producing sustainable energy and reducing environmental pollution

    Haibo Huang;Vijay Singh;Nasib Qureshi

  • Rotation of spheroidal particles in Couette flows

    Haibo Huang;Xin Yang;Manfred Krafczyk;Xi-Yun Lu

  • Ethanol production from food waste at high solids content with vacuum recovery technology.

    Haibo Huang;Nasib Qureshi;Ming Hsu Chen;Wei Liu

  • Prominence of ichnologically influenced macroporosity in the karst Biscayne aquifer: Stratiform "super-K" zones

    Kevin J. Cunningham;Michael C. Sukop;Haibo Huang;Pedro F. Alvarez

  • Distribution of multiphase fluids in porous media: comparison between lattice Boltzmann modeling and micro-x-ray tomography.

    Michael C. Sukop;Haibo Huang;Chen Luh Lin;Milind D. Deo

  • Recalcitrant dissolved organic nitrogen formation in thermal hydrolysis pretreatment of municipal sludge.

    Dian Zhang;Yiming Feng;Haibo Huang;Wendell Khunjar

  • Evaluation of permeability and non-Darcy flow in vuggy macroporous limestone aquifer samples with lattice Boltzmann methods

    Michael C. Sukop;Haibo Huang;Pedro F. Alvarez;Evan A. Variano

  • Techno-economic analysis of biodiesel and ethanol co-production from lipid-producing sugarcane

    Haibo Huang;Stephen Long;Vijay Singh

Frequent Co-Authors

Xi-Yun Lu
Xi-Yun Lu University of Science and Technology of China
Jian Lu
Jian Lu Fujian Agriculture and Forestry University
Chang Shu
Chang Shu National University of Singapore
Rong Cao
Rong Cao Chinese Academy of Sciences
Stephen P. Long
Stephen P. Long University of Illinois at Urbana-Champaign
Manfred Krafczyk
Manfred Krafczyk Technische Universität Braunschweig
Nasib Qureshi
Nasib Qureshi US Department of Agriculture
Donghai Wang
Donghai Wang Kansas State University
Feng Lin
Feng Lin Virginia Tech
Dan B Faulkner
Dan B Faulkner University of Arizona

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Haibo Huang

Trending Scientists

Recently Published Articles