World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
38
Citations
5385
World Ranking
2283
National Ranking
273

Jun Hong 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 Hong 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: 325 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Jun Hong 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 Hong 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: 38 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Jun Hong is affiliated with Xi'an Jiaotong University in China and has a substantial body of research primarily within the field of engineering, with a focus on mechanical engineering and its related subfields.

The scientist's research spans several subdisciplines, including mechanical engineering, mechanics of materials, control and systems engineering, industrial and manufacturing engineering, and materials chemistry. Their work addresses a range of core topics such as gear and bearing dynamics analysis, tribology and lubrication engineering, adhesion, friction, and surface interactions, as well as advanced machining processes and optimization. Additional areas of expertise include machine fault diagnosis techniques, mechanical engineering and vibrations research, and advanced measurement and metrology techniques.

Jun Hong frequently collaborates with several coauthors, including Ke Yan, Yongsheng Zhu, Qiangqiang Zhao, Qiyin Lin, and Bin Fang. These frequent partnerships highlight sustained joint research efforts and contributions to the scientific community.

The scientist contributes regularly to a variety of academic journals, with multiple publications appearing in the following venues:

  • Journal of Mechanical Engineering
  • Tribology International
  • Journal of Manufacturing Systems
  • SSRN Electronic Journal
  • IEEE Transactions on Instrumentation and Measurement

Recent notable papers authored by Jun Hong include:

  • Knowledge graph-based manufacturing process planning: A state-of-the-art review (2023, Journal of Manufacturing Systems)
  • Bearing remaining useful life prediction with convolutional long short-term memory fusion networks (2022, Reliability Engineering & System Safety)
  • Bearing fault diagnosis method based on attention mechanism and multilayer fusion network (2021, ISA Transactions)
  • Repetitive assembly action recognition based on object detection and pose estimation (2020, Journal of Manufacturing Systems)
  • A real-time coupling model of bearing-rotor system based on semi-flexible body element (2023, International Journal of Mechanical Sciences)

Best Publications

  • Stiffness design of machine tool structures by a biologically inspired topology optimization method

    Baotong Li;Jun Hong;Zhifeng Liu

  • Investigation on heat dissipation characteristic of ball bearing cage and inside cavity at ultra high rotation speed

    Ke Yan;Ke Yan;Yatai Wang;Yongsheng Zhu;Jun Hong

  • Thermal-deformation coupling in thermal network for transient analysis of spindle-bearing system

    Ke Yan;Jun Hong;Jinhua Zhang;Wei Mi

  • Electrostatic Layer Jamming Variable Stiffness for Soft Robotics

    Tao Wang;Jinhua Zhang;Yue Li;Jun Hong

  • Knowledge graph-based manufacturing process planning: A state-of-the-art review

    Unknown

  • A comparative study and stiffness analysis of angular contact ball bearings under different preload mechanisms

    Jinhua Zhang;Bin Fang;Yongsheng Zhu;Jun Hong

  • Non-iterative structural topology optimization using deep learning

    Baotong Li;Congjia Huang;Xin Li;Shuai Zheng

  • Effect of preload on ball-raceway contact state and fatigue life of angular contact ball bearing

    Jinhua Zhang;Bin Fang;Jun Hong;Yongsheng Zhu

  • Bearing remaining useful life prediction with convolutional long short-term memory fusion networks

    Unknown

  • Bearing fault diagnosis method based on attention mechanism and multilayer fusion network

    Unknown

  • A web-based manufacturing service system for rapid product development

    Unknown

  • RFID-enabled real-time manufacturing information tracking infrastructure for extended enterprises

    Yingfeng Zhang;Pingyu Jiang;George Huang;Ting Qu

  • A comprehensive study on the speed-varying stiffness of ball bearing under different load conditions

    Bin Fang;Jinhua Zhang;Ke Yan;Jun Hong

  • Repetitive assembly action recognition based on object detection and pose estimation

    Chengjun Chen;Tiannuo Wang;Dongnian Li;Jun Hong

  • Topology optimization of microchannel heat sinks using a two-layer model

    Suna Yan;Fengwen Wang;Jun Hong;Ole Sigmund

  • Decision support system for rapid prototyping process selection through integration of fuzzy synthetic evaluation and an expert system

    H. Lan;Y. Ding;J. Hong

  • A real-time coupling model of bearing-rotor system based on semi-flexible body element

    Unknown

  • An integrated manufacturing system for rapid tooling based on rapid prototyping

    Unknown

  • A Study on Bearing Dynamic Features under the Condition of Multiball–Cage Collision

    Unknown

  • A comprehensive study on dynamic performance of ball bearing considering bearing deformations and ball-inner raceway separation

    Unknown

  • Study on micro-interacting mechanism modeling in grinding process and ground surface roughness prediction

    Jingliang Jiang;Peiqi Ge;Jun Hong

  • Bearing Fault Diagnosis Based on Multisensor Information Coupling and Attentional Feature Fusion

    Unknown

  • Active chatter suppression for milling process with sliding mode control and electromagnetic actuator

    Shaoke Wan;Xiaohu Li;Wenjun Su;Junpeng Yuan

  • Study on the influence of thermal characteristics of rolling bearings and spindle resulted in condition of improper assembly

    Xiaohu Li;Yifa Lv;Ke Yan;Jun Liu

  • A general model for preload calculation and stiffness analysis for combined angular contact ball bearings

    Jinhua Zhang;Bin Fang;Jun Hong;Shaoke Wan

  • Investigation into the loosening mechanism of bolt in curvic coupling subjected to transverse loading

    Xiangjun Jiang;Yongsheng Zhu;Jun Hong;Xi Chen

  • Investigation on milling chatter identification at early stage with variance ratio and Hilbert–Huang transform

    Shaoke Wan;Xiaohu Li;Wei Chen;Jun Hong

  • Active damping of milling chatter vibration via a novel spindle system with an integrated electromagnetic actuator

    Shaoke Wan;Shaoke Wan;Xiaohu Li;Wenjun Su;Junpeng Yuan

  • Integration of geometric variation and part deformation into variation propagation of 3-D assemblies

    Junkang Guo;Baotong Li;Zhigang Liu;Jun Hong

  • Augmented reality-based robot teleoperation system using RGB-D imaging and attitude teaching device

    Yong Pan;Chengjun Chen;Dongnian Li;Zhengxu Zhao

  • Stiffness modeling of machine tools based on machining space analysis

    Xianming Gao;Baotong Li;Jun Hong;Junkang Guo

  • Effects of surface texture on the lubrication performance of the floating ring bearing

    Shiyuan Pei;Hua Xu;Hua Xu;Meng Yun;Fanghui Shi;Fanghui Shi

  • Influence of simultaneous time-varying bearing and tooth mesh stiffness fluctuations on spur gear pair vibration

    Guanghui Liu;Jun Hong;Robert G. Parker

Frequent Co-Authors

Michael Yu Wang
Michael Yu Wang Great Bay University
Yang Li
Yang Li Tianjin University
Gregory S. Chirikjian
Gregory S. Chirikjian University of Delaware
Albert J. Shih
Albert J. Shih University of Michigan–Ann Arbor
Ole Sigmund
Ole Sigmund Technical University of Denmark

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