World's Best Scientists 2026 revealed!
Michael Yu Wang

Michael Yu Wang

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
64
Citations
18310
World Ranking
535
National Ranking
74

Michael Yu 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 Michael Yu 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: 114 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: 61 scientists 317–326 publications: 69 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: 393 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Michael Yu 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 Michael Yu 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: 125 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 106 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: 99 scientists
30 D-Index 93+

This scientist: 64 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - SPIE Fellow

Overview

Michael Yu Wang is a researcher affiliated with Great Bay University in China, with a primary focus on engineering and computer science. Their work spans multiple subfields, including mechanical engineering, biomedical engineering, computer vision and pattern recognition, control and systems engineering, and automotive engineering.

Their publication record features a consistent output in a variety of respected venues. Frequent publication venues include arXiv (Cornell University), IEEE Robotics and Automation Letters, Materials & Design, Additive Manufacturing, and IEEE Transactions on Automation Science and Engineering.

Their research encompasses several main topics:

  • Robot Manipulation and Learning
  • Cellular and Composite Structures
  • Modular Robots and Swarm Intelligence
  • Advanced Sensor and Energy Harvesting Materials
  • Soft Robotics and Applications
  • Tactile and Sensory Interactions
  • Robotic Path Planning Algorithms

Some recent notable papers by Michael Yu Wang include:

  • Design Optimization of Soft Robots: A Review of the State of the Art (2020), published in IEEE Robotics & Automation Magazine
  • Development and evaluation of a robust soft robotic gripper for apple harvesting (2022), published in Computers and Electronics in Agriculture
  • Hierarchical sheet triply periodic minimal surface lattices: Design, geometric and mechanical performance (2021), published in Materials & Design
  • Improved light-weighting potential of SS316L triply periodic minimal surface shell lattices by micro laser powder bed fusion (2022), published in Materials & Design
  • Learning to Predict Vehicle Trajectories with Model-based Planning (2021), published in arXiv (Cornell University)

Michael Yu Wang has collaborated frequently with several co-authors, including Hongyu Yu, Lei Zhang, Qingping Ma, Qifeng Chen, and Junhao Ding. These collaborations have contributed to advances across their main research interests.

In recognition of their professional standing, Michael Yu Wang was awarded the title of SPIE Fellow in 2016.

Best Publications

  • A level set method for structural topology optimization

    Michael Yu Wang;Xiaoming Wang;Dongming Guo

  • Energy absorption characteristics of metallic triply periodic minimal surface sheet structures under compressive loading

    Lei Zhang;Stefanie Feih;Stephen Daynes;Shuai Chang

  • Color level sets: a multi-phase method for structural topology optimization with multiple materials

    Michael Yu Wang;Xiaoming Wang

  • Radial basis functions and level set method for structural topology optimization

    Shengyin Wang;Michael Yu Wang

  • An 88-line Matlab Code For The Parameterized Level Set Method Based Topology Optimization Using Radial Basis Functions

    Peng Wei;Zuyu Li;Xueping Li;Michael Yu Wang

  • Multimaterial structural topology optimization with a generalized Cahn–Hilliard model of multiphase transition

    Shiwei Zhou;Michael Yu Wang

  • A level set-based parameterization method for structural shape and topology optimization

    Zhen Luo;Michael Yu Wang;Shengyin Wang;Peng Wei

  • Design of graded lattice structure with optimized mesostructures for additive manufacturing

    Yiqiang Wang;Lei Zhang;Stephen Daynes;Hongying Zhang

  • An extended level set method for shape and topology optimization

    S. Y. Wang;K. M. Lim;B. C. Khoo;M. Y. Wang

  • Design of multimaterial compliant mechanisms using level-set methods

    Michael Yu Wang;Shikui Chen;Xiaoming Wang;Yulin Mei

  • Shape and topology optimization of compliant mechanisms using a parameterization level set method

    Zhen Luo;Liyong Tong;Michael Yu Wang;Shengyin Wang

  • A level set solution to the stress-based structural shape and topology optimization

    Qi Xia;Tielin Shi;Shiyuan Liu;Michael Yu Wang

  • Vibration energy harvesting using a phononic crystal with point defect states

    Hangyuan Lv;Xiaoyong Tian;Michael Yu Wang;Dichen Li

  • Piecewise constant level set method for structural topology optimization

    Peng Wei;Michael Yu Wang

  • Concurrent design with connectable graded microstructures

    Yiqiang Wang;Feifei Chen;Michael Yu Wang

  • Stress-related Topology Optimization via Level Set Approach

    Xu Guo;Wei Sheng Zhang;Michael Yu Wang;Peng Wei

  • DEM simulation of particle damping

    Kuanmin Mao;Michael Yu Wang;Zhiwei Xu;Tianning Chen

  • Particle damping for passive vibration suppression: numerical modelling and experimental investigation

    Zhiwei Xu;Michael Yu Wang;Tianning Chen

  • A study on X-FEM in continuum structural optimization using a level set model

    Peng Wei;Michael Yu Wang;Xianghua Xing

  • Phase Field: A Variational Method for Structural Topology Optimization

    Michael Yu Wang;Shiwei Zhou

  • Design of piezoelectric actuators using a multiphase level set method of piecewise constants

    Zhen Luo;Liyong Tong;Junzhao Luo;Peng Wei

  • An optimum design for 3-D fixture synthesis in a point set domain

    M.Y. Wang

Frequent Co-Authors

Tielin Shi
Tielin Shi Huazhong University of Science and Technology
Jun Hong
Jun Hong Xi'an Jiaotong University
Shiwei Zhou
Shiwei Zhou RMIT University
Kian Meng Lim
Kian Meng Lim National University of Singapore
Xiangyang Zhu
Xiangyang Zhu Shanghai Jiao Tong University
Zhen Luo
Zhen Luo University of Technology Sydney
Boo Cheong Khoo
Boo Cheong Khoo National University of Singapore
Caihua Xiong
Caihua Xiong Huazhong University of Science and Technology
Danica Kragic
Danica Kragic Royal Institute of Technology
Liyong Tong
Liyong Tong University of Sydney

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring related online degrees can expand your opportunities beyond traditional Mechanical and Aerospace Engineering careers. For example, programs tailored to veterans offer specialized support, such as the best military friendly online speech pathology degrees, highlighting how education can be tailored to fit unique backgrounds and career goals.

Accelerated degree options like the best 5 year speech pathology programs allow students to quickly transition into demanding careers while balancing other commitments. This model shows the rising demand for efficient, flexible learning formats in STEM and allied fields.

Interdisciplinary pathways also connect engineering with forensic and behavioral sciences. If forensic analysis interests you, understanding the steps in how to become a criminal profiler highlights the value of analytical skills and problem-solving—qualities cultivated in engineering.

Finally, degrees in psychology and counseling can complement engineering pursuits, especially in human factors and ergonomics. Exploring different counseling degrees can open doors to careers focusing on human interaction, safety, and well-being in technical environments.

Best Scientists Citing Michael Yu Wang

Trending Scientists

Recently Published Articles