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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
42
Citations
6029
World Ranking
1851
National Ranking
222

Caichao Zhu 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 Caichao Zhu 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: 276 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Caichao Zhu 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 Caichao Zhu 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: 42 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Caichao Zhu is affiliated with Chongqing University in China and has a substantial body of research within the engineering field. Their primary focus lies in mechanical engineering, with extensive contributions also spanning mechanics of materials, control and systems engineering, materials chemistry, and artificial intelligence.

The research work encompasses key topics such as:

  • Gear and Bearing Dynamics Analysis
  • Mechanical Engineering and Vibrations Research
  • Tribology and Lubrication Engineering
  • Advanced machining processes and optimization
  • Mechanical stress and fatigue analysis
  • Machine Fault Diagnosis Techniques
  • Iterative Learning Control Systems

Recent publications by Caichao Zhu include:

  • "Gated Dual Attention Unit Neural Networks for Remaining Useful Life Prediction of Rolling Bearings," 2020, IEEE Transactions on Industrial Informatics
  • "Long short-term memory neural network with weight amplification and its application into gear remaining useful life prediction," 2020, Engineering Applications of Artificial Intelligence
  • "Effects of different shot peening parameters on residual stress, surface roughness and cell size," 2020, Surface and Coatings Technology
  • "LSTM networks based on attention ordered neurons for gear remaining life prediction," 2020, ISA Transactions
  • "Study on gear contact fatigue failure competition mechanism considering tooth wear evolution," 2020, Tribology International

Caichao Zhu frequently publishes in journals and venues such as:

  • Mechanism and Machine Theory
  • SSRN Electronic Journal
  • Renewable Energy
  • Friction
  • Ocean Engineering

Their scholarly collaborations include frequent co-authorship with:

  • Chaosheng Song
  • Huaiju Liu
  • Jianjun Tan
  • Peitang Wei
  • Ye Zhou

Caichao Zhu's research contributions emphasize the application of neural networks and machine learning techniques in engineering contexts, particularly for remaining useful life prediction of mechanical components such as gears and bearings.

Best Publications

  • Gated Dual Attention Unit Neural Networks for Remaining Useful Life Prediction of Rolling Bearings

    Unknown

  • Effects of lubrication on gear performance: A review

    Heli Liu;Huaiju Liu;Caichao Zhu;Robert G. Parker

  • Long short-term memory neural network with weight amplification and its application into gear remaining useful life prediction

    Unknown

  • Effects of different shot peening parameters on residual stress, surface roughness and cell size

    Qinjie Lin;Huaiju Liu;Caichao Zhu;Difa Chen

  • Effect of shot peening coverage on hardness, residual stress and surface morphology of carburized rollers

    Jizhan Wu;Huaiju Liu;Peitang Wei;Caichao Zhu

  • LSTM networks based on attention ordered neurons for gear remaining life prediction

    Unknown

  • Investigation on the effect of shot peening coverage on the surface integrity

    Qinjie Lin;Huaiju Liu;Caichao Zhu;Robert G. Parker

  • Study on gear contact fatigue failure competition mechanism considering tooth wear evolution

    Heli Liu;Huaiju Liu;Caichao Zhu;Jinyuan Tang

  • Effect of the residual stress on contact fatigue of a wind turbine carburized gear with multiaxial fatigue criteria

    Wei Wang;Huaiju Liu;Caichao Zhu;Xuesong Du

  • Starved lubrication of a spur gear pair

    Huaiju Liu;Caichao Zhu;Zhangdong Sun;Chaosheng Song

  • Research on dynamical characteristics of wind turbine gearboxes with flexible pins

    Caichao Zhu;Xiangyang Xu;Xiangyang Xu;Huaiju Liu;Tianhong Luo

  • A Review on Micropitting Studies of Steel Gears

    Huaiju Liu;Heli Liu;Caichao Zhu;Ye Zhou

  • Identification of failure modes of a PEEK-steel gear pair under lubrication

    Zehua Lu;Huaiju Liu;Caichao Zhu;Hailan Song

  • Mixed Lubricated Line Contact Analysis for Spur Gears using a Deterministic Model

    Huaiju Liu;Ken Mao;Caichao Zhu;Xiangyang Xu

  • Investigation on the influence of work holding equipment errors on contact characteristics of face-hobbed hypoid gear

    Unknown

  • Study of rolling contact fatigue behavior of a wind turbine gear based on damage-coupled elastic-plastic model

    Haifeng He;Huaiju Liu;Caichao Zhu;Peitang Wei

  • Anomaly detection and condition monitoring of wind turbine gearbox based on LSTM-FS and transfer learning

    Unknown

  • Effects of microstructure on rolling contact fatigue of a wind turbine gear based on crystal plasticity modeling

    Wei Wang;Huaiju Liu;Caichao Zhu;Peitang Wei

  • Experimental investigation on the efficiency of the pulley-drive CVT

    C. Zhu;H. Liu;J. Tian;Q. Xiao

  • Oil film stiffness and damping in an elastohydrodynamic lubrication line contact-vibration

    Yuanyuan Zhang;Hua iju Liu;Caichao Zhu;Mingyong Liu

  • Mesh stiffness and nonlinear dynamic response of a spur gear pair considering tribo-dynamic effect

    Zufeng Li;Caichao Zhu;Huaiju Liu;Zonglin Gu

  • Effects of case hardening properties on the contact fatigue of a wind turbine gear pair

    Heli Liu;Huaiju Liu;Philippe Bocher;Caichao Zhu

  • Tribological behavior of coated spur gear pairs with tooth surface roughness

    Huaiju Liu;Heli Liu;Caichao Zhu;Peitang Wei

  • A comprehensive investigation of plowing and grain-workpiece micro interactions on 3D ground surface topography

    Weihua Zhou;Jinyuan Tang;Haifeng Chen;Caichao Zhu

  • Dynamic analysis of the drive train of a wind turbine based upon the measured load spectrum

    Caichao Zhu;Shuang Chen;Huaiju Liu;Huaqing Huang

  • Effect of flexible pin on the dynamic behaviors of wind turbine planetary gear drives

    CaiChao Zhu;XiangYang Xu;Teik Chin Lim;XueSong Du

Frequent Co-Authors

Huaiju Liu
Huaiju Liu Chongqing University
Jinyuan Tang
Jinyuan Tang Central South University
Teik C. Lim
Teik C. Lim The University of Texas at Arlington
Cheng Lu
Cheng Lu University of Wollongong
Philippe Bocher
Philippe Bocher École de Technologie Supérieure

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