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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
41
Citations
5411
World Ranking
1955
National Ranking
231

Qinkai Han 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 Qinkai Han 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: 98 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Qinkai Han 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 Qinkai Han 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: 41 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Overview

Qinkai Han is affiliated with Tsinghua University in China and has contributed extensively to the field of engineering, with a primary focus on mechanical engineering and related subfields. Their research encompasses mechanical engineering, control and systems engineering, biomedical engineering, mechanics of materials, and polymers and plastics.

The scientist has worked on key topics including machine fault diagnosis techniques, advanced sensor and energy harvesting materials, gear and bearing dynamics analysis, tribology and lubrication engineering, magnetic bearings and levitation dynamics, conducting polymers and applications, and adhesion, friction, and surface interactions.

Qinkai Han has published research primarily in the following venues:

  • Mechanical Systems and Signal Processing
  • Nano Energy
  • SSRN Electronic Journal
  • Renewable Energy
  • Measurement

Frequent co-authors collaborating with Qinkai Han include:

  • Fulei Chu
  • Shuai Gao
  • Yun Kong
  • Tianyang Wang
  • Ziyuan Jiang

Among the recent papers authored or co-authored by Qinkai Han are:

  • Piezoelectric energy harvester for rolling bearings with capability of self-powered condition monitoring (2021) in Energy
  • Scaling-Basis Chirplet Transform (2020) in IEEE Transactions on Industrial Electronics
  • Wind energy harvesting based on fluttering double-flag type triboelectric nanogenerators (2020) in Nano Energy
  • Experimental and theoretical approaches for determining cage motion dynamic characteristics of angular contact ball bearings considering whirling and overall skidding behaviors (2021) in Mechanical Systems and Signal Processing
  • An enhanced sparse representation-based intelligent recognition method for planet bearing fault diagnosis in wind turbines (2021) in Renewable Energy

This body of work reflects a concentration on mechanical engineering challenges, including diagnostics and energy harvesting related to rotating machinery and material dynamics. The research integrates experimental, theoretical, and intelligent recognition methods within the scope of engineering systems.

Best Publications

  • Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review

    Tianyang Wang;Qinkai Han;Fulei Chu;Zhipeng Feng

  • Optically Levitated Nanodumbbell Torsion Balance and GHz Nanomechanical Rotor

    Jonghoon Ahn;Zhujing Xu;Jaehoon Bang;Yu-Hao Deng

  • Piezoelectric energy harvester for rolling bearings with capability of self-powered condition monitoring

    Liufeng Zhang;Feibin Zhang;Zhaoye Qin;Qinkai Han

  • Bolt loosening at rotating joint interface and its influence on rotor dynamics

    Zhaoye Qin;Qinkai Han;Fulei Chu

  • Nonlinear dynamic model for skidding behavior of angular contact ball bearings

    Qinkai Han;Fulei Chu

  • Analytical model of bolted disk–drum joints and its application to dynamic analysis of jointed rotor

    Zhaoye Qin;Qinkai Han;Fulei Chu

  • A triboelectric rolling ball bearing with self-powering and self-sensing capabilities

    Qinkai Han;Zhuang Ding;Zhaoye Qin;Tianyang Wang

  • Nonlinear dynamic modeling of rotor system supported by angular contact ball bearings

    Hong Wang;Qinkai Han;Daning Zhou

  • Skidding behavior of cylindrical roller bearings under time-variable load conditions

    Qinkai Han;Xinglin Li;Fulei Chu

  • Non-parametric hybrid models for wind speed forecasting

    Qinkai Han;Fanman Meng;Tao Hu;Fulei Chu

  • Stability analysis of a rotor-bearing system with time-varying bearing stiffness due to finite number of balls and unbalanced force

    Xuening Zhang;Qinkai Han;Zhike Peng;Fulei Chu

  • Compound faults detection in gearbox via meshing resonance and spectral kurtosis methods

    Tianyang Wang;Fulei Chu;Qinkai Han;Yun Kong

  • Wind energy harvesting based on fluttering double-flag type triboelectric nanogenerators

    Wenpeng Sun;Wenpeng Sun;Zhuang Ding;Zhaoye Qin;Fulei Chu

  • Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions

    Sai Ma;Sai Ma;Fulei Chu;Qinkai Han

  • A new SKRgram based demodulation technique for planet bearing fault detection

    Tianyang Wang;Qinkai Han;Fulei Chu;Zhipeng Feng

  • Parametric instability of flexible rotor-bearing system under time-periodic base angular motions

    Qinkai Han;Fulei Chu

  • Review of Electromagnetic Vibration in Electrical Machines

    Xueping Xu;Qinkai Han;Fulei Chu

  • Dynamic response analysis on torsional vibrations of wind turbine geared transmission system with uncertainty

    Sha Wei;Jingshan Zhao;Qinkai Han;Fulei Chu

  • A comprehensive dynamic model to investigate the stability problems of the rotor–bearing system due to multiple excitations

    Xuening Zhang;Qinkai Han;Zhike Peng;Fulei Chu

  • A new nonlinear dynamic model of the rotor-bearing system considering preload and varying contact angle of the bearing

    Xuening Zhang;Qinkai Han;Zhike Peng;Fulei Chu

  • Parametric instability of a Jeffcott rotor with rotationally asymmetric inertia and transverse crack

    Qinkai Han;Fulei Chu

  • Load-sharing characteristics of planetary gear transmission in horizontal axis wind turbines

    Xinghui Qiu;Qinkai Han;Fulei Chu

  • Kernel density estimation model for wind speed probability distribution with applicability to wind energy assessment in China

    Qinkai Han;Sai Ma;Tianyang Wang;Fulei Chu

Frequent Co-Authors

Fulei Chu
Fulei Chu Tsinghua University
Zhaoye Qin
Zhaoye Qin Tsinghua University
Zhike Peng
Zhike Peng Shanghai Jiao Tong University
Zhipeng Feng
Zhipeng Feng University of Science and Technology Beijing
Paolo Pennacchi
Paolo Pennacchi Polytechnic University of Milan
Ming J. Zuo
Ming J. Zuo University of Alberta
Robert G. Parker
Robert G. Parker University of Utah

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