World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
48
Citations
7536
World Ranking
1317
National Ranking
161

Junyi Cao 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 Junyi Cao 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: 137 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Junyi Cao 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 Junyi Cao 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: 48 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Control theory
  • Mechanical engineering

The scientist’s investigation covers issues in Energy harvesting, Nonlinear system, Acoustics, Vibration and Electronic engineering. His Nonlinear system study combines topics in areas such as Piezoelectricity, Efficient energy use and Bistability. His Bistability research is multidisciplinary, incorporating perspectives in Mechanics, Excitation and Classical mechanics.

His research in Acoustics intersects with topics in Acceleration and Voltage. Vibration is often connected to Restoring force in his work. His Electronic engineering research incorporates elements of Electrical impedance, State of charge and Test bench.

His most cited work include:

  • Broadband tristable energy harvester: Modeling and experiment verification (285 citations)
  • Broadband tristable energy harvester: Modeling and experiment verification (285 citations)
  • Enhanced broadband piezoelectric energy harvesting using rotatable magnets (213 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Energy harvesting, Control theory, Nonlinear system, Vibration and Acoustics. Junyi Cao interconnects Swing, Voltage, Piezoelectricity, Electronic engineering and Acceleration in the investigation of issues within Energy harvesting. The study incorporates disciplines such as Compliant mechanism, Fractional calculus and Displacement in addition to Control theory.

His Nonlinear system study incorporates themes from Mechanics, Excitation, Bistability and Restoring force. Junyi Cao combines subjects such as Mechanical engineering and Condition monitoring with his study of Vibration. Junyi Cao has researched Acoustics in several fields, including Simulation and Bandwidth.

He most often published in these fields:

  • Energy harvesting (39.58%)
  • Control theory (37.50%)
  • Nonlinear system (36.46%)

What were the highlights of his more recent work (between 2017-2021)?

  • Energy harvesting (39.58%)
  • Nonlinear system (36.46%)
  • Compliant mechanism (14.58%)

In recent papers he was focusing on the following fields of study:

Junyi Cao mostly deals with Energy harvesting, Nonlinear system, Compliant mechanism, Voltage and Control theory. His work carried out in the field of Energy harvesting brings together such families of science as Vibration, Halbach array and Computational physics. The various areas that Junyi Cao examines in his Nonlinear system study include Multivibrator, Excitation, Cantilever, Mechanics and Bistability.

Junyi Cao has included themes like Acoustics, Swing, Time domain, Rotational speed and Electromagnetic coil in his Voltage study. His Acoustics research includes elements of Phase and Frequency domain. His Control theory study combines topics from a wide range of disciplines, such as Performance prediction and Displacement.

Between 2017 and 2021, his most popular works were:

  • Optimal design of a piezo-actuated 2-DOF millimeter-range monolithic flexure mechanism with a pseudo-static model (32 citations)
  • Design, modeling and experimental verification of circular Halbach electromagnetic energy harvesting from bearing motion (30 citations)
  • Performance enhancement of nonlinear asymmetric bistable energy harvesting from harmonic, random and human motion excitations (28 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Control theory
  • Mechanical engineering

Junyi Cao mainly focuses on Compliant mechanism, Control theory, System dynamics, Displacement and Kinematics. His work on Frequency response as part of general Control theory research is often related to Boundary, thus linking different fields of science. His Frequency response research includes themes of Harmonic balance, Acceleration, Actuator and Multivibrator.

His study explores the link between System dynamics and topics such as Kinetic energy that cross with problems in Acoustics, Beam, Bandwidth and Transducer. His Displacement study integrates concerns from other disciplines, such as Voltage, Mechanism and Nonlinear system. His Finite element method research is multidisciplinary, incorporating elements of Matrix method, Mechanics and Jacobian matrix and determinant.

Best Publications

  • Broadband tristable energy harvester: Modeling and experiment verification

    Shengxi Zhou;Junyi Cao;Junyi Cao;Daniel J. Inman;Jing Lin

  • Enhanced broadband piezoelectric energy harvesting using rotatable magnets

    Shengxi Zhou;Junyi Cao;Alper Erturk;Jing Lin

  • A new method to estimate the state of charge of lithium-ion batteries based on the battery impedance model

    Jun Xu;Jun Xu;Chunting Chris Mi;Binggang Cao;Junyi Cao

  • Magnetic-spring based energy harvesting from human motions: Design, modeling and experiments

    Wei Wang;Junyi Cao;Nan Zhang;Jing Lin

  • Design of Fractional Order Controllers Based on Particle Swarm Optimization

    Jun-yi Cao;Bing-gang Cao

  • Kinetostatic and Dynamic Modeling of Flexure-Based Compliant Mechanisms: A Survey

    Mingxiang Ling;Larry L. Howell;Junyi Cao;Guimin Chen

  • Optimization of fractional order PID controllers based on genetic algorithms

    Jun-Yi Cao;Jin Liang;Bing-Gang Cao

  • Influence of potential well depth on nonlinear tristable energy harvesting

    Junyi Cao;Shengxi Zhou;Wei Wang;Jing Lin

  • Impact-induced high-energy orbits of nonlinear energy harvesters

    Shengxi Zhou;Shengxi Zhou;Junyi Cao;Daniel J. Inman;Shengsheng Liu

  • A tacho-less order tracking technique for large speed variations

    Ming Zhao;Jing Lin;Xiufeng Wang;Yaguo Lei

  • Enhanced mathematical modeling of the displacement amplification ratio for piezoelectric compliant mechanisms

    Mingxiang Ling;Mingxiang Ling;Junyi Cao;Minghua Zeng;Jing Lin

  • Harmonic balance analysis of nonlinear tristable energy harvesters for performance enhancement

    Shengxi Zhou;Shengxi Zhou;Junyi Cao;Daniel J. Inman;Jing Lin

  • Nonlinear time-varying potential bistable energy harvesting from human motion

    Junyi Cao;Wei Wang;Shengxi Zhou;Shengxi Zhou;Daniel J. Inman

  • Design of Fractional Order Controller Based on Particle Swarm Optimization

    Jun-Yi Cao;Bing-Gang Cao

  • Design, modeling and experimental verification of circular Halbach electromagnetic energy harvesting from bearing motion

    Ying Zhang;Junyi Cao;Hongyu Zhu;Yaguo Lei

  • Optimum resistance analysis and experimental verification of nonlinear piezoelectric energy harvesting from human motions

    Wei Wang;Junyi Cao;Chris R. Bowen;Shengxi Zhou

  • Nonlinear dynamic analysis of fractional order rub-impact rotor system

    Junyi Cao;Chengbin Ma;Zhuangde Jiang;Shuguang Liu

  • Evaluation strategy of regenerative braking energy for supercapacitor vehicle

    Zhongyue Zou;Junyi Cao;Binggang Cao;Wen Chen

  • Enhanced swing electromagnetic energy harvesting from human motion

    Ning Zhou;Zehao Hou;Ying Zhang;Junyi Cao

  • Recent Advances in Human Motion Excited Energy Harvesting Systems for Wearables

    Mingjing Cai;Zhaoshu Yang;Junyi Cao;Wei-Hsin Liao

  • Artificial neural network maximum power point tracker for solar electric vehicle

    Theodore Amissah Ocran;Junyi Cao;Binggang Cao;Xinghua Sun

  • Modeling and experimental verification of doubly nonlinear magnet-coupled piezoelectric energy harvesting from ambient vibration

    Shengxi Zhou;Junyi Cao;Wei Wang;Shengsheng Liu

Frequent Co-Authors

Jing Lin
Jing Lin Beihang University
Daniel J. Inman
Daniel J. Inman University of Michigan–Ann Arbor
Binggang Cao
Binggang Cao Xi'an Jiaotong University
Grzegorz Litak
Grzegorz Litak Lublin University of Technology
Wei-Hsin Liao
Wei-Hsin Liao Chinese University of Hong Kong
Christopher R. Bowen
Christopher R. Bowen University of Bath
Chengbin Ma
Chengbin Ma Shanghai Jiao Tong University
YangQuan Chen
YangQuan Chen University of California, Merced
Larry L. Howell
Larry L. Howell Brigham Young University
Lei Zuo
Lei Zuo University of Michigan–Ann Arbor

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