World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
7514
World Ranking
4938
National Ranking
56

Hua Li 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 Hua Li 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: 338 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Hua Li 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 Hua Li 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: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Hua Li is affiliated with Nanyang Technological University in Singapore. Their research concentrates primarily within the field of Engineering, with specific focus areas including Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, as well as Control and Systems Engineering.

The scientist has published extensively on various topics related to advanced materials and manufacturing technologies. Notable areas of research include:

  • Electrocatalysts for Energy Conversion
  • Advanced Sensor and Energy Harvesting Materials
  • Hydrogels: synthesis, properties, applications
  • Additive Manufacturing Materials and Processes
  • Additive Manufacturing and 3D Printing Technologies
  • Supercapacitor Materials and Fabrication
  • Advanced Photocatalysis Techniques

Hua Li's recent publications reflect a focus on additive manufacturing, materials science, and biomedical applications. Selected recent papers include:

  • Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L (2020, International Journal of Fatigue)
  • A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing (2020, International Journal of Fatigue)
  • In Situ Loading of Polypyrrole onto Aramid Nanofiber and Carbon Nanotube Aerogel Fibers as Physiology and Motion Sensors (2022, ACS Nano)
  • Mechano-Activated Cell Therapy for Accelerated Diabetic Wound Healing (2023, Advanced Materials)
  • Transformation of hard pollen into soft matter (2020, Nature Communications)

Frequent coauthors contributing to their research include Zhaoqing Lu, Qimin Liu, Hao You, Shoujing Zheng, and Zhixin Zhan. These collaborations complement the breadth of their work across multiple engineering domains.

Hua Li's research outputs have appeared in several publication venues, with the most common being:

  • SSRN Electronic Journal
  • Materials & Design
  • Chemical Engineering Journal
  • International Journal of Mechanical Sciences
  • International Journal of Fatigue

Best Publications

  • Surface Engineering of g-C 3 N 4 by Stacked BiOBr Sheets Rich in Oxygen Vacancies for Boosting Photocatalytic Performance

    Dongni Liu;Dongyun Chen;Najun Li;Qingfeng Xu

  • Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L

    Zhixin Zhan;Hua Li

  • Indoor occupancy estimation from carbon dioxide concentration

    Chaoyang Jiang;Mustafa K. Masood;Yeng Chai Soh;Hua Li

  • High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach

    Meng Zhang;Meng Zhang;Chen-Nan Sun;Xiang Zhang;Phoi Chin Goh

  • Efficient Electrocatalytic Water Oxidation by a Copper Oxide Thin Film in Borate Buffer

    Fengshou Yu;Fei Li;Biaobiao Zhang;Hua Li

  • A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings

    Tanaya Chaudhuri;Yeng Chai Soh;Hua Li;Lihua Xie

  • Fatigue and fracture behaviour of laser powder bed fusion stainless steel 316L: Influence of processing parameters

    Meng Zhang;Meng Zhang;Chen-Nan Sun;Xiang Zhang;Phoi Chin Goh

  • Paper Microfluidics for Point-of-Care Blood-Based Analysis and Diagnostics

    Hua Li;Andrew J Steckl

  • Random forest based thermal comfort prediction from gender-specific physiological parameters using wearable sensing technology

    Tanaya Chaudhuri;Deqing Zhai;Yeng Chai Soh;Hua Li

  • A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing

    Zhixin Zhan;Hua Li

  • <i>In Situ</i> Loading of Polypyrrole onto Aramid Nanofiber and Carbon Nanotube Aerogel Fibers as Physiology and Motion Sensors

    Unknown

  • Thermal comfort prediction using normalized skin temperature in a uniform built environment

    Tanaya Chaudhuri;Deqing Zhai;Yeng Chai Soh;Hua Li

  • Modeling and simulation of the swelling behavior of pH-stimulus-responsive hydrogels.

    Hua Li;Teng Yong Ng;Yong Kin Yew;Khin Yong Lam

  • Chaos control and synchronization in a fractional neuron network system

    Unknown

  • Influence of boundary conditions on the frequency characteristics of a rotating truncated circular conical shell

    Unknown

  • Meshless Methods and Their Numerical Properties

    Hua Li;Shantanu S. Mulay

  • Generalized differential quadrature for free vibration of rotating composite laminated conical shell with various boundary conditions

    T.Y. Ng;T.Y. Ng;Hua Li;K.Y. Lam

  • Model development and numerical simulation of electric-stimulus-responsive hydrogels subject to an externally applied electric field

    Hua Li;Z. Yuan;K.Y. Lam;H.P. Lee

  • Transient analysis of temperature-sensitive neutral hydrogels

    Erik Birgersson;Hua Li;Shunnian Wu

  • Modeling of cool roof heat transfer in tropical climate

    Kishor T. Zingre;Man Pun Wan;Shanshan Tong;Hua Li

  • Ultrasonic vibration-assisted milling of aluminum alloy

    Unknown

  • Hermite-Cloud: a novel true meshless method

    Hua Li;T. Y. Ng;T. Y. Ng;J. Q. Cheng;K. Y. Lam

  • Modeling Investigation of Hydrogel Volume Transition

    Shunnian Wu;Hua Li;J. Paul Chen;K. Y. Lam

  • Rotating Shell Dynamics

    Hua Li

  • Transformation of hard pollen into soft matter

    Teng-Fei Fan;Soohyun Park;Qian Shi;Xingyu Zhang

  • Modeling of multiphase smart hydrogels responding to pH and electric voltage coupled stimuli

    Hua Li;Rongmo Luo;Erik Birgersson;K. Y. Lam

  • Machine learning based prediction of thermal comfort in buildings of equatorial Singapore

    Tanaya Chaudhuri;Yeng Chai Soh;Hua Li;Lihua Xie

  • Thermal performance of concrete-based roofs in tropical climate

    Shanshan Tong;Hua Li;Kishor T. Zingre;Man Pun Wan

  • Electrochemical and Photoelectrochemical Water Oxidation by Supported Cobalt–Oxo Cubanes

    Biaobiao Zhang;Fei Li;Fengshou Yu;Xiaohong Wang

  • Development of a novel meshless Local Kriging (LoKriging) method for structural dynamic analysis

    Hua Li;Q.X. Wang;K.Y. Lam;K.Y. Lam

Frequent Co-Authors

Yeng Chai Soh
Yeng Chai Soh Nanyang Technological University
Teng Yong Ng
Teng Yong Ng Nanyang Technological University
Erik Birgersson
Erik Birgersson National University of Singapore
K.Y. Lam
K.Y. Lam Nanyang Technological University
Xiang Zhang
Xiang Zhang University of Hong Kong
Wenjian Cai
Wenjian Cai Nanyang Technological University
Jun Wei
Jun Wei Harbin Institute of Technology
Lihua Xie
Lihua Xie Nanyang Technological University
Youyi Wang
Youyi Wang Nanyang Technological University
Gui-Rong Liu
Gui-Rong Liu University of Cincinnati

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