World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
58
Citations
11680
World Ranking
770
National Ranking
13

Electronics and Electrical Engineering

D-Index
59
Citations
11908
World Ranking
1782
National Ranking
34

Haoyong Yu 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 Haoyong Yu 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: 297 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Haoyong Yu 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 Haoyong Yu 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: 58 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Overview

Haoyong Yu is affiliated with the National University of Singapore in Singapore and has contributed extensively to the field of engineering, with a particular focus on biomedical engineering.

Their research spans several subfields including:

  • Biomedical Engineering
  • Control and Systems Engineering
  • Mechanical Engineering
  • Rehabilitation
  • Computer Vision and Pattern Recognition

Within these domains, their work addresses key topics such as:

  • Prosthetics and Rehabilitation Robotics
  • Muscle Activation and Electromyography Studies
  • Soft Robotics and Applications
  • Stroke Rehabilitation and Recovery
  • Robot Manipulation and Learning
  • Adaptive Control of Nonlinear Systems
  • Advanced Sensor and Energy Harvesting Materials

Haoyong Yu has a substantial publication record in the following venues:

  • Mechanism and Machine Theory
  • IEEE/ASME Transactions on Mechatronics
  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering

Recent papers include:

  • On Time-Synchronized Stability and Control (2021) published in IEEE Transactions on Systems Man and Cybernetics Systems
  • Predictive Locomotion Mode Recognition and Accurate Gait Phase Estimation for Hip Exoskeleton on Various Terrains (2022) published in IEEE Robotics and Automation Letters
  • Lower-Limb Exoskeleton With Variable-Structure Series Elastic Actuators: Phase-Synchronized Force Control for Gait Asymmetry Correction (2020) published in IEEE Transactions on Robotics
  • Robust adaptive motion tracking of piezoelectric actuated stages using online neural-network-based sliding mode control (2020) published in Mechanical Systems and Signal Processing
  • Toward Gait Symmetry Enhancement via a Cable-Driven Exoskeleton Powered by Series Elastic Actuators (2021) published in IEEE Robotics and Automation Letters

Frequent collaborators include:

  • Jun Yang
  • Chenglong Fu
  • Shuaishuai Han
  • Zhimin Hou
  • Shuo Ding

Best Publications

  • PAMM - a robotic aid to the elderly for mobility assistance and monitoring: a "helping-hand" for the elderly

    S. Dubowsky;F. Genot;S. Godding;H. Kozono

  • Human–Robot Interaction Control of Rehabilitation Robots With Series Elastic Actuators

    Haoyong Yu;Sunan Huang;Gong Chen;Yongping Pan

  • A review of lower extremity assistive robotic exoskeletons in rehabilitation therapy.

    Gong Chen;Chow Khuen Chan;Zhao Guo;Haoyong Yu

  • Composite Learning From Adaptive Dynamic Surface Control

    Yongping Pan;Haoyong Yu

  • An Adaptive Shared Control System for an Intelligent Mobility Aid for the Elderly

    Haoyong Yu;Matthew Spenko;Steven Dubowsky

  • Integral Sliding Mode Control: Performance, Modification, and Improvement

    Yongping Pan;Chenguang Yang;Lin Pan;Haoyong Yu

  • Robotic Personal Aids for Mobility and Monitoring for the Elderly

    M. Spenko;Haoyong Yu;S. Dubowsky

  • Robust Speed Regulation for PMSM Servo System With Multiple Sources of Disturbances via an Augmented Disturbance Observer

    Yunda Yan;Jun Yang;Zhenxing Sun;Chuanlin Zhang

  • Adaptive Command-Filtered Backstepping Control of Robot Arms With Compliant Actuators

    Yongping Pan;Huiming Wang;Xiang Li;Haoyong Yu

  • Adaptive Human–Robot Interaction Control for Robots Driven by Series Elastic Actuators

    Xiang Li;Yongping Pan;Gong Chen;Haoyong Yu

  • Composite learning robot control with guaranteed parameter convergence

    Yongping Pan;Haoyong Yu

  • Kinematic comparison of surgical tendon-driven manipulators and concentric tube manipulators

    Zheng Li;Liao Wu;Hongliang Ren;Haoyong Yu

  • Iterative learning impedance control for rehabilitation robots driven by series elastic actuators

    Xiang Li;Yun-Hui Liu;Haoyong Yu

  • A Novel Stick–Slip Piezoelectric Actuator Based on a Triangular Compliant Driving Mechanism

    Yangkun Zhang;Yuxin Peng;Zhenxing Sun;Haoyong Yu

  • Efficient PID Tracking Control of Robotic Manipulators Driven by Compliant Actuators

    Yongping Pan;Xiang Li;Haoyong Yu

  • A review of long range piezoelectric motors using frequency leveraged method

    Yuxin Peng;Yulong Peng;Xiaoyi Gu;Jian Wang

  • Hybrid feedback feedforward

    Yongping Pan;Yiqi Liu;Bin Xu;Haoyong Yu

  • Electromagnetic Positioning for Tip Tracking and Shape Sensing of Flexible Robots

    Shuang Song;Zheng Li;Haoyong Yu;Hongliang Ren

  • On Time-Synchronized Stability and Control

    Dongyu Li;Haoyong Yu;Keng Peng Tee;Yan Wu

  • Control design of a novel compliant actuator for rehabilitation robots

    Haoyong Yu;Sunan Huang;Gong Chen;Nitish Thakor

  • Omni-Directional Mobility Using Active Split Offset Castors

    Haoyong Yu;Matthew Spenko;Steven Dubowsky

  • Composite Learning Robot Control With Friction Compensation: A Neural Network-Based Approach

    Kai Guo;Yongping Pan;Haoyong Yu

  • A brain-inspired spiking neural network model with temporal encoding and learning

    Qiang Yu;Huajin Tang;Huajin Tang;Kay Chen Tan;Haoyong Yu

Frequent Co-Authors

Yongping Pan
Yongping Pan Sun Yat-sen University
Hongliang Ren
Hongliang Ren Chinese University of Hong Kong
Nitish V. Thakor
Nitish V. Thakor National University of Singapore
Shuang Song
Shuang Song Harbin Institute of Technology
Sunan Huang
Sunan Huang National University of Singapore
K.H. Low
K.H. Low Nanyang Technological University
D.S.H. Chan
D.S.H. Chan National University of Singapore
Anastasios Bezerianos
Anastasios Bezerianos University of Patras
Meng Joo Er
Meng Joo Er Dalian Maritime University

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