World's Best Scientists 2026 revealed!
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Engineering and Technology
Australia
2026
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Materials Science
Australia
2022

D-Index & Metrics

Materials Science

D-Index
106
Citations
32845
World Ranking
828
National Ranking
35

Engineering and Technology

D-Index
114
Citations
42102
World Ranking
71
National Ranking
6

Qing 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 Qing 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: 976 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Qing 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 Qing 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: 114 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Australia Leader Award
  • 2025 - Research.com Engineering and Technology in Australia Leader Award
  • 2022 - Research.com Materials Science in Australia Leader Award

Overview

Qing Li is affiliated with the University of Sydney in Australia and has contributed extensively to the field of engineering, focusing primarily on mechanics of materials, mechanical engineering, civil and structural engineering, biomedical engineering, and surgery. Their scholarly output encompasses a broad array of topics that intersect material behavior, structural optimization, and biomedical applications.

The main areas of research include:

  • Mechanical Behavior of Composites
  • Bone Tissue Engineering Materials
  • Cellular and Composite Structures
  • Additive Manufacturing and 3D Printing Technologies
  • Topology Optimization in Engineering
  • Dental Implant Techniques and Outcomes
  • High-Velocity Impact and Material Behavior

Frequent publication venues where Qing Li's work appears include:

  • SSRN Electronic Journal
  • Thin-Walled Structures
  • International Journal of Mechanical Sciences
  • Composites Part B Engineering
  • Computer Methods in Applied Mechanics and Engineering

Qing Li has collaborated often with the following scholars:

  • Guangyong Sun
  • Quantian Luo
  • Jianguang Fang
  • Chi Wu
  • Boyang Wan

Some recent scientific publications authored or co-authored by Qing Li include:

  • Lightweight hybrid materials and structures for energy absorption: A state-of-the-art review and outlook, 2022, Thin-Walled Structures
  • Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption, 2023, International Journal of Mechanical Sciences
  • Lung fibroblasts facilitate pre-metastatic niche formation by remodeling the local immune microenvironment, 2022, Immunity
  • On the structural parameters of honeycomb-core sandwich panels against low-velocity impact, 2021, Composites Part B Engineering
  • On impact behavior of fiber metal laminate (FML) structures: A state-of-the-art review, 2021, Thin-Walled Structures

Qing Li's research contributions cover multiple interdisciplinary domains within engineering, highlighting a focus on advanced materials and structures, their mechanical properties, and applications including biomedical contexts and impact behavior analysis. Their collaboration network and publication record reflect active engagement with current developments in these areas.

Best Publications

  • Medical image classification with convolutional neural network

    Qing Li;Weidong Cai;Xiaogang Wang;Yun Zhou

  • Biofabrication: reappraising the definition of an evolving field

    Jürgen Groll;Thomas Boland;Torsten Blunk;Jason A. Burdick

  • Biofabrication: a guide to technology and terminology

    Lorenzo Moroni;Thomas Boland;Jason A. Burdick;Carmelo De Maria

  • Lightweight hybrid materials and structures for energy absorption: A state-of-the-art review and outlook

    Unknown

  • On design optimization for structural crashworthiness and its state of the art

    Jianguang Fang;Guangyong Sun;Na Qiu;Nam H. Kim

  • Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption

    Unknown

  • Multiobjective optimization for crash safety design of vehicles using stepwise regression model

    Xingtao Liao;Qing Li;Xujing Yang;Weigang Zhang

  • Crashworthiness design for functionally graded foam-filled thin-walled structures

    Guangyong Sun;Guangyong Sun;Guangyao Li;Shujuan Hou;Shiwei Zhou

  • A multilayer perceptron-based medical decision support system for heart disease diagnosis

    Unknown

  • Design optimization of regular hexagonal thin-walled columns with crashworthiness criteria

    Shujuan Hou;Qing Li;Shuyao Long;Xujing Yang

  • Crashing analysis and multiobjective optimization for thin-walled structures with functionally graded thickness

    Guangyong Sun;Fengxiang Xu;Guangyao Li;Qing Li

  • Dynamic crash responses of bio-inspired aluminum honeycomb sandwich structures with CFRP panels

    Yinghan Wu;Qiang Liu;Qiang Liu;Jie Fu;Qing Li

  • Multiobjective optimization of multi-cell sections for the crashworthiness design

    Shujuan Hou;Qing Li;Shuyao Long;Xujing Yang

  • Design of bionic-bamboo thin-walled structures for energy absorption

    Jie Fu;Qiang Liu;Kangmin Liufu;Yuanchang Deng

  • Experimental and numerical study on honeycomb sandwich panels under bending and in-panel compression

    Guangyong Sun;Guangyong Sun;Xintao Huo;Dongdong Chen;Qing Li

  • Shape and topology design for heat conduction by Evolutionary Structural Optimization

    Qing Li;Grant P. Steven;Osvaldo M. Querin;Y.M. Xie

  • Time-Variant Reliability Analysis through Response Surface Method

    Dequan Zhang;Dequan Zhang;Xu Han;Chao Jiang;Jie Liu

  • Crashworthiness analysis and design of multi-cell hexagonal columns under multiple loading cases

    Na Qiu;Yunkai Gao;Jianguang Fang;Zhaoxuan Feng

  • Ultralight and highly flexible aerogels with long cellulose I nanofibers

    Wenshuai Chen;Haipeng Yu;Qing Li;Yixing Liu

  • Lightweight design of carbon twill weave fabric composite body structure for electric vehicle

    Qiang Liu;Yongzhou Lin;Zhijian Zong;Guangyong Sun

  • Energy absorption of metal, composite and metal/composite hybrid structures under oblique crushing loading

    Guohua Zhu;Guangyong Sun;Hang Yu;Shunfeng Li

  • Experimental study on crashworthiness of empty/aluminum foam/honeycomb-filled CFRP tubes

    Guangyong Sun;Shunfeng Li;Qiang Liu;Guangyao Li

  • Crashworthiness design of vehicle by using multiobjective robust optimization

    Guangyong Sun;Guangyao Li;Shiwei Zhou;Hongzhou Li

  • Crashworthiness design for foam filled thin-wall structures

    Shujuan Hou;Qing Li;Shuyao Long;Xujing Yang

  • On design of multi-cell tubes under axial and oblique impact loads

    Jianguang Fang;Jianguang Fang;Yunkai Gao;Guangyong Sun;Guangyong Sun;Na Qiu

  • Dental implant induced bone remodeling and associated algorithms.

    Daniel Lin;Qing Li;Wei Li;Michael Swain

Frequent Co-Authors

Guangyong Sun
Guangyong Sun Hunan University
Michael V. Swain
Michael V. Swain University of Sydney
Shiwei Zhou
Shiwei Zhou RMIT University
Jianguang Fang
Jianguang Fang University of Technology Sydney
Guangyao Li
Guangyao Li Hunan University
Yi Min Xie
Yi Min Xie RMIT University
Grant P. Steven
Grant P. Steven University of Sydney
Xiaodong Huang
Xiaodong Huang Swinburne University of Technology
Xu Han
Xu Han Hebei University of Technology
Shujuan Hou
Shujuan Hou Hunan University

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