World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
41
Citations
6161
World Ranking
1935
National Ranking
84

Dan Zhang 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 Dan Zhang 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: 355 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Dan Zhang 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 Dan Zhang 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

Dan Zhang is affiliated with York University in Canada and has a primary focus in the field of Engineering, with a substantial contribution encompassing 833 publications. Their research spans multiple subfields, including Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, and Biomedical Engineering.

The scientist's work covers several specialized topics, such as:

  • Robotic Mechanisms and Dynamics
  • Soft Robotics and Applications
  • Piezoelectric Actuators and Control
  • Combustion and Detonation Processes
  • Advanced Neural Network Applications
  • Robot Manipulation and Learning
  • Domain Adaptation and Few-Shot Learning

Dan Zhang has published numerous papers in a range of scientific venues known for engineering and technology research. The frequent publication venues include:

  • arXiv (Cornell University)
  • Mechanism and Machine Theory
  • SSRN Electronic Journal
  • Processes
  • Robotica

Recent papers authored or co-authored by Dan Zhang reflect a diverse scope of topics and applications. Selected publications include:

  • "Majorbio Cloud: A one-stop, comprehensive bioinformatic platform for multiomics analyses" (2022) published in iMeta
  • "Physical Safety and Cyber Security Analysis of Multi-Agent Systems: A Survey of Recent Advances" (2021) published in IEEE/CAA Journal of Automatica Sinica
  • "Review of hybrid electric powered aircraft, its conceptual design and energy management methodologies" (2020) published in Chinese Journal of Aeronautics
  • "Benefits of Crop Rotation on Climate Resilience and Its Prospects in China" (2022) published in Agronomy
  • "GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification" (2020) published in IEEE Journal of Biomedical and Health Informatics

Collaboration plays a significant role in Dan Zhang's research activities. Frequent co-authors include:

  • Chunxu Tian (24 collaborations)
  • Qi Zou (20 collaborations)
  • Lifeng Xie (19 collaborations)
  • Qiaokang Liang (17 collaborations)
  • Bin Li (17 collaborations)

Best Publications

  • Parallel Robotic Machine Tools

    Dan Zhang

  • A review on model reference adaptive control of robotic manipulators

    Dan Zhang;Bin Wei

  • Kinetostatic Analysis and Design Optimization of the Tricept Machine Tool Family

    Dan Zhang;Cle´ment M. Gosselin

  • Design optimization of a spatial six degree-of-freedom parallel manipulator based on artificial intelligence approaches

    Zhen Gao;Dan Zhang;Yunjian Ge

  • The Design and Development of an Omni-Directional Mobile Robot Oriented to an Intelligent Manufacturing System

    Jun Qian;Bin Zi;Daoming Wang;Yangang Ma

  • Design and fabrication of a six-dimensional wrist force/torque sensor based on E-type membranes compared to cross beams

    Qiaokang Liang;Qiaokang Liang;Qiaokang Liang;Dan Zhang;Quanjun Song;Yunjian Ge

  • A novel dynamic modelling approach for parallel mechanisms analysis

    Stefan Staicu;Dan Zhang

  • Performance Analysis, Mapping, and Multiobjective Optimization of a Hybrid Robotic Machine Tool

    Zhen Gao;Dan Zhang

  • Kinetostatic Modeling of N-DOF Parallel Mechanisms With a Passive Constraining Leg and Prismatic Actuators

    Dan Zhang;Cle´ment M. Gosselin

  • Six-DOF micro-manipulator based on compliant parallel mechanism with integrated force sensor

    Qiaokang Liang;Dan Zhang;Zhongzhe Chi;Quanjun Song

  • Kinematic analysis of a novel 3-DOF actuation redundant parallel manipulator using artificial intelligence approach

    Dan Zhang;Jianhe Lei

  • Forward kinematics, performance analysis, and multi-objective optimization of a bio-inspired parallel manipulator

    Dan Zhang;Zhen Gao

  • Global kinetostatic modelling of tripod-based parallel kinematic machine

    Fengfeng Xi;Dan Zhang;Chris M. Mechefske;Sherman Y.T. Lang

  • Kinetostatic modeling of parallel mechanisms with a passive constraining leg and revolute actuators

    D. Zhang;C.M. Gosselin

  • A 6-DOF reconfigurable hybrid parallel manipulator

    Gianmarc Coppola;Dan Zhang;Kefu Liu

  • Optimal Kinematic Calibration of Parallel Manipulators With Pseudoerror Theory and Cooperative Coevolutionary Network

    Dan Zhang;Zhen Gao

  • Design and kinetostatic analysis of a new parallel manipulator

    Dan Zhang;Zhuming Bi;Beizhi Li

  • Analysis of parallel kinematic machine with kinetostatic modelling method

    Dan Zhang;Fengfeng Xi;Chris M Mechefske;Sherman Y.T Lang

  • Design, analysis, and stiffness optimization of a three degree of freedom parallel manipulator

    Zhen Gao;Dan Zhang;Xiaolin Hu;Yunjian Ge

  • Design, analysis and control of a winding hybrid-driven cable parallel manipulator

    Bin Zi;Huihui Sun;Dan Zhang

Frequent Co-Authors

Lihui Wang
Lihui Wang Royal Institute of Technology
Yaonan Wang
Yaonan Wang Hunan University
Kefu Liu
Kefu Liu Lakehead University
Zhuming Bi
Zhuming Bi Indiana University – Purdue University Fort Wayne
Clément Gosselin
Clément Gosselin Université Laval
Ebrahim Esmailzadeh
Ebrahim Esmailzadeh University of Ontario Institute of Technology
Feng Gao
Feng Gao Shanghai Jiao Tong University
Marc A. Rosen
Marc A. Rosen University of Ontario Institute of Technology
Xianwen Kong
Xianwen Kong Heriot-Watt University
Wenjun Zhang
Wenjun Zhang City University of Hong Kong

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

For those exploring Mechanical and Aerospace Engineering, understanding related online degrees and career options can expand opportunities. While these fields require strong technical skills, it's helpful to consider alternative paths like Speech-Language Pathology programs, which also have significant demand.

One common question students face is "is it hard to get into slp grad school." Admission can be competitive, but researching program requirements is essential to gauge fit. Additionally, some students seek the "easiest speech pathology programs to get into," which can reduce barriers to entry while maintaining quality education.

Cost is another important factor when choosing an online degree. Understanding "how much does an online speech pathology degree cost" helps prospective students budget and explore financial aid options. Furthermore, programs designed for specific groups such as military personnel are available, making education more accessible. Veterans, for example, can benefit from tailored options as highlighted in "online speech pathology degree for military veterans."

By exploring these varied pathways, students can better align their educational goals with career aspirations, whether directly in engineering or through complementary fields.

Best Scientists Citing Dan Zhang

Trending Scientists

Recently Published Articles