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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
35
Citations
5094
World Ranking
2648
National Ranking
94

Huaizhong Li publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Huaizhong Li sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 169 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Huaizhong Li D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Huaizhong Li sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 35 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Huaizhong Li is affiliated with Griffith University in Australia and specializes primarily in the field of Engineering, with a focus on Mechanical Engineering. Their research encompasses several subfields, including Biomedical Engineering, Civil and Structural Engineering, Electrical and Electronic Engineering, and Industrial and Manufacturing Engineering.

Their work centers around key topics related to advanced machining and manufacturing processes. These topics include:

  • Advanced machining processes and optimization
  • Advanced Surface Polishing Techniques
  • Advanced Machining and Optimization Techniques
  • Machine Fault Diagnosis Techniques
  • Industrial Vision Systems and Defect Detection
  • Tunneling and Rock Mechanics
  • Erosion and Abrasive Machining

Frequent collaborators in their research include Xiubing Jing, Dzung Viet Dao, Yun Chen, Fujun Wang, and Bowen Song.

Publications by this researcher have appeared regularly in several journals. The most frequent publication venues are:

  • The International Journal of Advanced Manufacturing Technology
  • Journal of Manufacturing Processes
  • SSRN Electronic Journal
  • Micromachines
  • Machines

Recent notable papers include:

  • "Modelling and experimental analysis of the effects of run out, minimum chip thickness and elastic recovery on the cutting force in micro-end-milling" (2020), published in International Journal of Mechanical Sciences
  • "Chatter detection in milling processes-a review on signal processing and condition classification" (2023), published in The International Journal of Advanced Manufacturing Technology
  • "Semi-resolved CFD-DEM modeling of gas-particle two-phase flow in the micro-abrasive air jet machining" (2020), published in Powder Technology
  • "Chatter detection for milling using novel p-leader multifractal features" (2020), published in Journal of Intelligent Manufacturing
  • "A novel run-out model based on spatial tool position for micro-milling force prediction" (2021), published in Journal of Manufacturing Processes

This body of work indicates continuous contributions to the development and optimization of machining processes and fault diagnosis in manufacturing environments.

Best Publications

  • Natural fiber–reinforced composites: A review on material, manufacturing, and machinability:

    Amirhossein Lotfi;Huaizhong Li;Dzung Viet Dao;Gangadhara Prusty

  • An experimental study of tool wear and cutting force variation in the end milling of Inconel 718 with coated carbide inserts

    H.Z. Li;H. Zeng;X.Q. Chen

  • Analysis and modelling of particle velocities in micro-abrasive air jet

    H.Z. Li;J. Wang;J.M. Fan

  • Modelling of cutting forces in helical end milling using a predictive machining theory

    H.Z. Li;W.B. Zhang;X.P. Li

  • Motion Profile Design to Reduce Residual Vibration of High-Speed Positioning Stages

    Huaizhong Li;M.D. Le;Z.M. Gong;W. Lin

  • A new method for determining the undeformed chip thickness in milling

    H.Z. Li;K. Liu;X.P. Li

  • Optimised Spectral Kurtosis for bearing diagnostics under electromagnetic interference

    Wade A. Smith;Zhiqi Fan;Zhongxiao Peng;Huaizhong Li

  • Modelling and simulation of chatter in milling using a predictive force model

    Huaizhong Li;Xiaoping Li

  • Development of a tool wear observer model for online tool condition monitoring and control in machining nickel-based alloys

    X. Q. Chen;H. Z. Li

  • Modelling and experimental analysis of the effects of run out, minimum chip thickness and elastic recovery on the cutting force in micro-end-milling

    Xiubing Jing;Rongyu Lv;Yun Chen;Yanling Tian

  • An experimental study of abrasive waterjet machining of Ti-6Al-4V

    Huaizhong Li;Jun Wang

  • An intelligent chatter detection method based on EEMD and feature selection with multi-channel vibration signals

    Yun Chen;Huaizhong Li;Liang Hou;Jun Wang

  • Chatter detection in milling processes—a review on signal processing and condition classification

    Unknown

  • Modeling of cutting forces in micro end-milling

    Yanjie Yuan;Yanjie Yuan;Xiubing Jing;Kornel F. Ehmann;Jian Cao

  • A hybrid approach for fault diagnosis of planetary bearings using an internal vibration sensor

    Zhiqi Fan;Huaizhong Li

  • Theoretical modelling of cutting forces in helical end milling with cutter runout

    X.P. Li;H.Z. Li

  • A novel chatter stability criterion for the modelling and simulation of the dynamic milling process in the time domain

    H. Z. Li;X. P. Li;X. Q. Chen

  • Motion profile planning for reduced jerk and vibration residuals

    H. Z. Li;Z. M. Gong;W. Lin;T. Lippa

  • On ultrahigh velocity micro-particle impact on steels—A single impact study

    Wei Yi Li;Jun Wang;Hongtao Zhu;Huaizhong Li

  • Effect of Moisture in Flax Fibres on the Quality of their Composites

    Abdul Moudood;Wayne Hall;Andreas Öchsner;Huaizhong Li

  • On DEM–CFD study of the dynamic characteristics of high speed micro-abrasive air jet

    Huaizhong Li;Ann Lee;Jingming Fan;Guan Heng Yeoh;Guan Heng Yeoh

  • A study of the flow characteristics in micro-abrasive jets

    J.M. Fan;H.Z. Li;J. Wang;C.Y. Wang

  • Modelling the cutting forces in micro-end-milling using a hybrid approach

    Xiubing Jing;Xiubing Jing;Huaizhong Li;Jun Wang;Yanling Tian

  • Application of experiential learning to improve student engagement and experience in a mechanical engineering course

    Huaizhong Li;Andreas Öchsner;Wayne Hall

Frequent Co-Authors

Jun Wang
Jun Wang University of New South Wales
XiaoQi Chen
XiaoQi Chen South China University of Technology
Dzung Viet Dao
Dzung Viet Dao Griffith University
Ngaiming Kwok
Ngaiming Kwok University of New South Wales
Dawei Zhang
Dawei Zhang Tianjin University
Wayne Hall
Wayne Hall University of Queensland
Guan Heng Yeoh
Guan Heng Yeoh University of New South Wales
Yong Zhu
Yong Zhu North Carolina State University
Moubin Liu
Moubin Liu Peking University
Toan Dinh
Toan Dinh University of Southern Queensland

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