World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
65
Citations
15092
World Ranking
1226
National Ranking
63

Computer Science

D-Index
66
Citations
15327
World Ranking
2353
National Ranking
86

Simon X. Yang publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Simon X. Yang sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 536 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Simon X. Yang D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Simon X. Yang sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Simon X. Yang is affiliated with the University of Guelph in Canada and has contributed extensively to the fields of engineering and computer science. Their research predominantly focuses on control and systems engineering, computer vision and pattern recognition, and computer networks and communications. Key subfields also include ocean engineering and biomedical engineering.

Their body of work addresses topics such as robotic path planning algorithms, underwater vehicles and communication systems, distributed control multi-agent systems, adaptive control of nonlinear systems, robotics and sensor-based localization, control and dynamics of mobile robots, and animal behavior and welfare studies.

Simon X. Yang has published across various venues, with multiple contributions to the following:

  • International Journal of Robotics and Automation
  • Intelligence & Robotics
  • arXiv (Cornell University)
  • Sensors
  • IEEE Transactions on Cybernetics

Frequent collaborators in their research include Weihong Ma, Jianjun Ni, Lepeng Song, Qifeng Li, and Junfei Li.

Recent papers featuring their work or related closely to their research interests include:

  • "Optimizing Survival Analysis of XGBoost for Ties to Predict Disease Progression of Breast Cancer" (2020, IEEE Transactions on Biomedical Engineering)
  • "Infrared and Visible Image Fusion Technology and Application: A Review" (2023, Sensors)
  • "An Intelligent Trust Cloud Management Method for Secure Clustering in 5G Enabled Internet of Medical Things" (2021, IEEE Transactions on Industrial Informatics)
  • "A Novel Algorithm of Multi-AUVs Task Assignment and Path Planning Based on Biologically Inspired Neural Network Map" (2020, IEEE Transactions on Intelligent Vehicles)
  • "A signal recovery method for bridge monitoring system using TVFEMD and encoder-decoder aided LSTM" (2023, Measurement)

Best Publications

  • A neural network approach to complete coverage path planning

    S.X. Yang;C. Luo

  • A knowledge based genetic algorithm for path planning of a mobile robot

    Yanrong Hu;S.X. Yang

  • An efficient neural network approach to dynamic robot motion planning

    Simon X. Yang;Max Meng

  • Neural network approaches to dynamic collision-free trajectory generation

    S.X. Yang;M. Meng

  • Dynamic Task Assignment and Path Planning of Multi-AUV System Based on an Improved Self-Organizing Map and Velocity Synthesis Method in Three-Dimensional Underwater Workspace

    Daqi Zhu;Huan Huang;S. X. Yang

  • A Bioinspired Neural Network for Real-Time Concurrent Map Building and Complete Coverage Robot Navigation in Unknown Environments

    Chaomin Luo;S.X. Yang

  • Genetic algorithm based path planning for a mobile robot

    Jianping Tu;S.X. Yang

  • Observer-Based Adaptive Neural Network Trajectory Tracking Control for Remotely Operated Vehicle

    Zhenzhong Chu;Daqi Zhu;Simon X. Yang

  • Real-time collision-free motion planning of a mobile robot using a Neural Dynamics-based approach

    S.X. Yang;M.Q.-H. Meng

  • Neurofuzzy-Based Approach to Mobile Robot Navigation in Unknown Environments

    Anmin Zhu;S.X. Yang

  • Real-Time Robot Path Planning Based on a Modified Pulse-Coupled Neural Network Model

    Hong Qu;S.X. Yang;A.R. Willms;Zhang Yi

  • An efficient dynamic system for real-time robot-path planning

    A.R. Willms;S.X. Yang

  • A Bioinspired Neurodynamics-Based Approach to Tracking Control of Mobile Robots

    S. X. Yang;Anmin Zhu;Guangfeng Yuan;M. Q. Meng

  • Dynamic analysis of a flexible hub-beam system with tip mass

    Guo-Ping Cai;Jia-Zhen Hong;Simon X. Yang

  • Infrared and Visible Image Fusion Technology and Application: A Review

    Unknown

  • Multi-AUV Target Search Based on Bioinspired Neurodynamics Model in 3-D Underwater Environments

    Xiang Cao;Daqi Zhu;Simon X. Yang

  • A Bioinspired Filtered Backstepping Tracking Control of 7000-m Manned Submarine Vehicle

    Bing Sun;Daqi Zhu;Simon X. Yang

  • Contrast Limited Adaptive Histogram Equalization-Based Fusion in YIQ and HSI Color Spaces for Underwater Image Enhancement

    Jinxiang Ma;Xinnan Fan;Simon X. Yang;Xuewu Zhang

  • An efficient neural network approach to tracking control of an autonomous surface vehicle with unknown dynamics

    Chang-Zhong Pan;Xu-Zhi Lai;Simon X. Yang;Min Wu

  • Bioinspired Neural Network for Real-Time Cooperative Hunting by Multirobots in Unknown Environments

    Jianjun Ni;S. X. Yang

  • An Adaptive Approach Based on KPCA and SVM for Real-Time Fault Diagnosis of HVCBs

    Jianjun Ni;Chuanbiao Zhang;S. X. Yang

Frequent Co-Authors

Max Q.-H. Meng
Max Q.-H. Meng Southern University of Science and Technology
Daqi Zhu
Daqi Zhu University of Shanghai for Science and Technology
Min Wu
Min Wu China University of Geosciences
Jinhua She
Jinhua She Tokyo University of Technology
Peter X. Liu
Peter X. Liu Carleton University
Jane A. Buxton
Jane A. Buxton University of British Columbia
Chuanglong He
Chuanglong He Donghua University
Zhang Yi
Zhang Yi Sichuan University
Junjie Li
Junjie Li Chinese Academy of Sciences
B. G. Shen
B. G. Shen Chinese Academy of Sciences

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Related Online Degrees & Career Pathways

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