World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
55
Citations
10668
World Ranking
3019
National Ranking
608

Jie Liu 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 Jie Liu 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: 237 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Jie Liu 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 Jie Liu 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: 55 D-Index — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Overview

Jie Liu is affiliated with Hunan University in China and specializes in the field of engineering, with extensive research contributions across multiple subfields including civil and structural engineering, mechanical engineering, biomedical engineering, mechanics of materials, and computational theory and mathematics.

The scientist's research focuses on a range of topics related to the optimization and analysis of materials and structures. Key research themes include topology optimization in engineering, advanced materials and mechanics, acoustic wave phenomena research, cellular and composite structures, advanced multi-objective optimization algorithms, composite structure analysis and optimization, and geotechnical engineering and soil stabilization.

Jie Liu's publication record shows a diverse engagement with several notable academic venues. Frequent publication outlets include:

  • SSRN Electronic Journal
  • Journal of Physics Conference Series
  • Composite Structures
  • International Journal of Mechanical Sciences
  • arXiv (Cornell University)

Recent papers authored by Jie Liu cover topics in materials science, structural mechanics, and acoustics. Selected recent works include:

  • "Review on lattice structures for energy absorption properties" (2022), published in Composite Structures
  • "Experimental and Theoretical Study of High-Energy Dissipation-Viscoelastic Dampers Based on Acrylate-Rubber Matrix" (2020), Journal of Engineering Mechanics
  • "Revealing the sound insulation capacities of TPMS sandwich panels" (2022), Journal of Sound and Vibration
  • "Origami-based acoustic metamaterial for tunable and broadband sound attenuation" (2022), International Journal of Mechanical Sciences
  • "3D printing of continuous carbon fibre reinforced polymer composites with optimised structural topology and fibre orientation" (2023), Composite Structures

Jie Liu has collaborated frequently with a core group of coauthors. Notable frequent collaborators include:

  • Yi Min Xie
  • Guilin Wen
  • Junfeng He
  • Hongxin Wang

The scope and variety of Jie Liu's work demonstrate a multidisciplinary approach addressing engineering challenges through computational modeling, experimental studies, and advanced material design.

Best Publications

  • An overview of metal oxide materials as electrocatalysts and supports for polymer electrolyte fuel cells

    Zhonghua Zhang;Jie Liu;Junjie Gu;Liang Su

  • Correlation analysis of non-probabilistic convex model and corresponding structural reliability technique

    C. Jiang;X. Han;G.Y. Lu;J. Liu

  • A review of thermal performance improving methods of lithium ion battery: Electrode modification and thermal management system

    Rui Zhao;Sijie Zhang;Jie Liu;Junjie Gu

  • An experimental study of heat pipe thermal management system with wet cooling method for lithium ion batteries

    Rui Zhao;Junjie Gu;Jie Liu

  • Simulation and experimental study on lithium ion battery short circuit

    Rui Zhao;Jie Liu;Junjie Gu

  • The effects of electrode thickness on the electrochemical and thermal characteristics of lithium ion battery

    Rui Zhao;Jie Liu;Junjie Gu

  • Time-Variant Reliability Analysis through Response Surface Method

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

  • An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries

    Jie Liu;Abhinav Saxena;Kai Goebel;Bhaskar Saha

  • The damped dynamic vibration absorbers: revisited and new result

    Kefu Liu;Jie Liu

  • Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm

    Datong Liu;Yue Luo;Jie Liu;Yu Peng

  • A data-model-fusion prognostic framework for dynamic system state forecasting

    J. Liu;W. Wang;Y. B. Yang

  • Dynamic load identification for stochastic structures based on Gegenbauer polynomial approximation and regularization method

    Jie Liu;Xingsheng Sun;Xu Han;Chao Jiang

  • Performance-Based Gas Turbine Health Monitoring, Diagnostics, and Prognostics: A Survey

    Houman Hanachi;Christopher Mechefske;Jie Liu;Avisekh Banerjee

  • A novel evidence-theory-based reliability analysis method for structures with epistemic uncertainty

    C. Jiang;Z. Zhang;X. Han;J. Liu

  • Optimization of a phase change material based internal cooling system for cylindrical Li-ion battery pack and a hybrid cooling design

    Rui Zhao;Rui Zhao;Junjie Gu;Jie Liu;Jie Liu

  • Multidimensional parallelepiped model—a new type of non-probabilistic convex model for structural uncertainty analysis

    C. Jiang;Q. F. Zhang;X. Han;J. Liu

  • Hybrid data-driven physics-based model fusion framework for tool wear prediction

    Houman Hanachi;Wennian Yu;Il Yong Kim;Jie Liu;Jie Liu

  • A Moment Approach to Positioning Accuracy Reliability Analysis for Industrial Robots

    Jinhui Wu;Dequan Zhang;Jie Liu;Xu Han

  • An efficient method to reduce ill-posedness for structural dynamic load identification

    Jie Liu;Xianghua Meng;Dequan Zhang;Chao Jiang

  • A Hybrid Reliability Approach Based on Probability and Interval for Uncertain Structures

    C. Jiang;X. Han;W. X. Li;J. Liu

  • Preparation and characterization of graphene oxide/silk fibroin hybrid aerogel for dye and heavy metal adsorption

    Shu Wang;Huiming Ning;Ning Hu;Kaiyan Huang

  • A multi-step predictor with a variable input pattern for system state forecasting

    Jie Liu;Wilson Wang;Farid Golnaraghi

Frequent Co-Authors

Xu Han
Xu Han Hebei University of Technology
Kefu Liu
Kefu Liu Lakehead University
Chris K. Mechefske
Chris K. Mechefske Queen's University
Ning Hu
Ning Hu Hebei University of Technology
Gui-Rong Liu
Gui-Rong Liu University of Cincinnati
Shao-Yun Fu
Shao-Yun Fu Chongqing University
Ming Liang
Ming Liang University of Ottawa
Marc St-Hilaire
Marc St-Hilaire Carleton University
Cheng Yan
Cheng Yan Queensland University of Technology
Dejie Yu
Dejie Yu Hunan University

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