World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

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

Electronics and Electrical Engineering

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

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

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 interested in Electronics and Electrical Engineering, expanding your skill set with related online degrees can open new career opportunities. Many students benefit from a project management bachelor degree online, which equips engineers with essential leadership and organizational skills needed to manage complex technical projects effectively.

Professionals juggling work and study often find accelerated options appealing. Programs tailored for working adults offer flexibility without sacrificing quality, as highlighted in resources about online degrees for working adults. This format can help engineers advance their education without pausing their careers.

Additionally, pursuing an online masters in instructional design allows engineers to transition into educational roles, designing effective training materials and courses about emerging technologies.

Competency-based learning is another growing trend, offering personalized pacing through competency based masters degrees. Such programs focus on mastering practical skills, making them ideal for engineers aiming to demonstrate their expertise directly relevant to industry needs.

Best Scientists Citing Simon X. Yang

Trending Scientists