World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
60
Citations
12557
World Ranking
701
National Ranking
29

Materials Science

D-Index
58
Citations
11695
World Ranking
7714
National Ranking
237

Jun Wang 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 Jun Wang 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: 441 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Jun Wang 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 Jun Wang 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: 60 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Jun Wang is affiliated with the University of New South Wales in Australia and has contributed to the field of engineering with a focus on mechanical engineering and related subdisciplines.

Their primary fields of study include:

  • Engineering

Within this broad area, Jun Wang specializes in several subfields:

  • Mechanical Engineering
  • Materials Chemistry
  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Computational Mechanics

The main research topics addressed by Jun Wang cover a range of advanced manufacturing and materials-related processes:

  • Advanced machining processes and optimization
  • Advanced Surface Polishing Techniques
  • Laser Material Processing Techniques
  • Additive Manufacturing and 3D Printing Technologies
  • Advanced Machining and Optimization Techniques
  • Manufacturing Process and Optimization
  • Metallurgy and Material Forming

Jun Wang has published extensively, with notable recent papers including:

  • "Mechanics analysis and predictive force models for the single-diamond grain grinding of carbon fiber reinforced polymers using CNT nano-lubricant" (2020) in Journal of Materials Processing Technology
  • "Estimation of tool wear and optimization of cutting parameters based on novel ANFIS-PSO method toward intelligent machining" (2020) in Journal of Intelligent Manufacturing
  • "Research of TPU Materials for 3D Printing Aiming at Non-Pneumatic Tires by FDM Method" (2020) in Polymers
  • "A novel intelligent reasoning system to estimate energy consumption and optimize cutting parameters toward sustainable machining" (2020) in Journal of Cleaner Production
  • "Role of oxygen vacancy on activity of Fe-doped SrTiO3 perovskite bifunctional catalysts for biodiesel production" (2022) in Renewable Energy

The frequent publication venues where Jun Wang's work appears include:

  • SSRN Electronic Journal
  • The International Journal of Advanced Manufacturing Technology
  • arXiv (Cornell University)
  • Ceramics International
  • Journal of Materials Research and Technology

Collaborations are also an important aspect of Jun Wang's research activities. Frequent coauthors include:

  • Chuanzhen Huang
  • Hanlian Liu
  • Longhua Xu
  • Hongtao Zhu
  • Runguo Wang

Best Publications

  • Structural impact

    Unknown

  • Visionllm: Large language model is also an open-ended decoder for vision-centric tasks

    Unknown

  • When things matter: A survey on data-centric internet of things

    Unknown

  • Maximum undeformed equivalent chip thickness for ductile-brittle transition of zirconia ceramics under different lubrication conditions

    Min Yang;Changhe Li;Yanbin Zhang;Dongzhou Jia

  • Real-Time Energy Storage Management for Renewable Integration in Microgrids: An Off-line Optimization Approach

    Unknown

  • Analysis of grinding mechanics and improved predictive force model based on material-removal and plastic-stacking mechanisms

    Yanbin Zhang;Changhe Li;Heju Ji;Xiaohui Yang

  • Predictive model for minimum chip thickness and size effect in single diamond grain grinding of zirconia ceramics under different lubricating conditions

    Min Yang;Changhe Li;Yanbin Zhang;Dongzhou Jia

  • Processing Characteristics of Vegetable Oil-based Nanofluid MQL for Grinding Different Workpiece Materials

    Yaogang Wang;Changhe Li;Yanbin Zhang;Min Yang

  • A study of delamination on graphite/epoxy composites in abrasive waterjet machining

    D.K. Shanmugam;T. Nguyen;J. Wang

  • Abrasive Waterjet Machining of Polymer Matrix Composites Cutting Performance, Erosive Process and Predictive Models

    J. Wang

  • Mechanics analysis and predictive force models for the single-diamond grain grinding of carbon fiber reinforced polymers using CNT nano-lubricant

    Teng Gao;Changhe Li;Min Yang;Yanbin Zhang

  • A study of abrasive waterjet characteristics by CFD simulation

    Hua Liu;Jun Wang;Neil Kelson;Richard Brown

  • Dynamic behavior and a modified Johnson–Cook constitutive model of Inconel 718 at high strain rate and elevated temperature

    Xiangyu Wang;Chuanzhen Huang;Bin Zou;Hanlian Liu

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

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

  • A study of abrasive waterjet cutting of metallic coated sheet steels

    J. Wang;W.C.K. Wong

  • Abrasive Waterjet Machining of Engineering Materials

    Jun Wang

  • A predictive depth of penetration model for abrasive waterjet cutting of polymer matrix composites

    Jun Wang;Dongming Guo

  • Predictive depth of jet penetration models for abrasive waterjet cutting of alumina ceramics

    J. Wang

  • Minimisation of kerf tapers in abrasive waterjet machining of alumina ceramics using a compensation technique

    D.K. Shanmugam;J. Wang;H. Liu

  • Clip2scene: Towards label-efficient 3d scene understanding by clip

    Unknown

  • A machinability study of polymer matrix composites using abrasive waterjet cutting technology

    Jun Wang

  • Elastic stress field model and micro-crack evolution for isotropic brittle materials during single grit scratching

    Wei Wang;Wei Wang;Peng Yao;Peng Yao;Jun Wang;Chuanzhen Huang;Chuanzhen Huang

  • Optimization of cutting conditions for single pass turning operations using a deterministic approach

    Jun Wang;T Kuriyagawa;Xiaopeng Wei;Dongming Guo

  • Study of Cutting Fiber-Reinforced Composites by Using Abrasive Water- Jet with Cutting Head Oscillation

    E Lemma;L Chen;Elias Siores;Jun Wang

  • Estimation of tool wear and optimization of cutting parameters based on novel ANFIS-PSO method toward intelligent machining

    Longhua Xu;Chuanzhen Huang;Chengwu Li;Jun Wang

Frequent Co-Authors

Chuanzhen Huang
Chuanzhen Huang Shandong University
Huaizhong Li
Huaizhong Li Griffith University
Tsunemoto Kuriyagawa
Tsunemoto Kuriyagawa Tohoku University
Dongming Guo
Dongming Guo Dalian University of Technology
Zhanqiang Liu
Zhanqiang Liu Shandong University
Guan Heng Yeoh
Guan Heng Yeoh University of New South Wales
Jiazhao Wang
Jiazhao Wang University of Wollongong
Ziqi Sun
Ziqi Sun Queensland University of Technology
Hua-Kun Liu
Hua-Kun Liu University of Wollongong
Ching-Ping Wong
Ching-Ping Wong Georgia Institute of Technology

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