World's Best Scientists 2026 revealed!
Myoungho Sunwoo

Myoungho Sunwoo

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
33
Citations
5543
World Ranking
2977
National Ranking
66

Myoungho Sunwoo 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 Myoungho Sunwoo 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: 271 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Myoungho Sunwoo 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 Myoungho Sunwoo 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: 33 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Overview

Myoungho Sunwoo is affiliated with Korea University in South Korea and primarily works in the field of Engineering. The scientist's research focuses notably on subfields such as Automotive Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Environmental Engineering, and Control and Systems Engineering.

Their research covers a range of topics including Autonomous Vehicle Technology and Safety, Robotics and Sensor-Based Localization, Remote Sensing and LiDAR Applications, Robotic Path Planning Algorithms, Traffic Control and Management, Traffic and Road Safety, and 3D Surveying and Cultural Heritage.

Sunwoo has contributed to various recent academic papers, including:

  • Vehicle Trajectory Prediction Using Hierarchical Graph Neural Network for Considering Interaction among Multimodal Maneuvers (2021, Sensors)
  • Updating Point Cloud Layer of High Definition (HD) Map Based on Crowd-Sourcing of Multiple Vehicles Installed LiDAR (2021, IEEE Access)
  • Deep learning-based dynamic object classification using LiDAR point cloud augmented by layer-based accumulation for intelligent vehicles (2020, Expert Systems with Applications)
  • Robust Localization in Map Changing Environments Based on Hierarchical Approach of Sliding Window Optimization and Filtering (2020, IEEE Transactions on Intelligent Transportation Systems)
  • Automatic Weight Determination in Model Predictive Control for Personalized Car-Following Control (2022, IEEE Access)

The scientist frequently publishes in venues such as:

  • Sensors
  • IEEE Access
  • IEEE Transactions on Intelligent Transportation Systems
  • SAE technical papers on CD-ROM/SAE technical paper series
  • Expert Systems with Applications

Frequent co-authors collaborating with Sunwoo include:

  • Kichun Jo
  • Chansoo Kim
  • Sung-Jin Cho
  • Min-Chul Lee
  • Wontaek Lim

This profile illustrates Myoungho Sunwoo's focus on integrating advanced computational methods such as deep learning and hierarchical graph neural networks within the context of automotive engineering and intelligent vehicle technologies. Their research addresses dynamic object classification, localization challenges in changing environments, and adaptive control methodologies.

Best Publications

  • Local Path Planning for Off-Road Autonomous Driving With Avoidance of Static Obstacles

    Keonyup Chu;Minchae Lee;Myoungho Sunwoo

  • Interacting Multiple Model Filter-Based Sensor Fusion of GPS With In-Vehicle Sensors for Real-Time Vehicle Positioning

    Kichun Jo;Keounyup Chu;Myoungho Sunwoo

  • Development of Autonomous Car—Part I: Distributed System Architecture and Development Process

    Kichun Jo;Junsoo Kim;Dongchul Kim;Chulhoon Jang

  • Development of Autonomous Car—Part II: A Case Study on the Implementation of an Autonomous Driving System Based on Distributed Architecture

    Kichun Jo;Junsoo Kim;Dongchul Kim;Chulhoon Jang

  • State-of-charge estimation of lead-acid batteries using an adaptive extended Kalman filter

    Jaehyun Han;Dongchul Kim;Myoungho Sunwoo

  • Hierarchical Trajectory Planning of an Autonomous Car Based on the Integration of a Sampling and an Optimization Method

    Wonteak Lim;Seongjin Lee;Myoungho Sunwoo;Kichun Jo

  • Enhanced Road Boundary and Obstacle Detection Using a Downward-Looking LIDAR Sensor

    Jaehyun Han;Dongchul Kim;Minchae Lee;Myoungho Sunwoo

  • Hybrid Trajectory Planning for Autonomous Driving in On-Road Dynamic Scenarios

    Wonteak Lim;Seongjin Lee;Myoungho Sunwoo;Kichun Jo

  • Precise Localization of an Autonomous Car Based on Probabilistic Noise Models of Road Surface Marker Features Using Multiple Cameras

    Kichun Jo;Yongwoo Jo;Jae Kyu Suhr;Ho Gi Jung

  • Model reference adaptive control for vehicle active suspension systems

    Unknown

  • FlexRay Network Parameter Optimization Method for Automotive Applications

    Inseok Park;Myoungho Sunwoo

  • Generation of a Precise Roadway Map for Autonomous Cars

    Kichun Jo;Myoungho Sunwoo

  • Vehicle Speed Prediction Using a Markov Chain With Speed Constraints

    Jaewook Shin;Myoungho Sunwoo

  • Electric powertrain modeling of a fuel cell hybrid electric vehicle and development of a power distribution algorithm based on driving mode recognition

    Junghwan Ryu;Yeongseop Park;Myoungho Sunwoo

  • GPS-bias correction for precise localization of autonomous vehicles

    Kichun Jo;Keonyup Chu;Myoungho Sunwoo

  • Integration of multiple vehicle models with an IMM filter for vehicle localization

    Kichun Jo;Keonyup Chu;Kangyoon Lee;Myoungho Sunwoo

  • Tracking and Behavior Reasoning of Moving Vehicles Based on Roadway Geometry Constraints

    Kichun Jo;Minchul Lee;Junsoo Kim;Myoungho Sunwoo

  • Simultaneous Localization and Map Change Update for the High Definition Map-Based Autonomous Driving Car.

    Kichun Jo;Chansoo Kim;Myoungho Sunwoo

  • A study on pegging methods for noisy cylinder pressure signal

    Kangyoon Lee;Maru Yoon;Myoungho Sunwoo

  • A method for combustion phasing control using cylinder pressure measurement in a CRDI diesel engine

    Maru Yoon;Kangyoon Lee;Myoungho Sunwoo

  • AUTOSAR-ready Light Software Architecture for Automotive Embedded Control Systems

    Kangseok Lee;Inseok Park;Myoungho SunWoo;Wootaik Lee

  • A cost- and time-effective hardware-in-the-loop simulation platform for automotive engine control systems

    W Lee;M Yoon;M Sunwoo

  • Real-time combustion parameter estimation algorithm for light-duty diesel engines using in-cylinder pressure measurement

    Jaesung Chung;Seungsuk Oh;Kyunghan Min;Myoungho Sunwoo

  • Road Slope Aided Vehicle Position Estimation System Based on Sensor Fusion of GPS and Automotive Onboard Sensors

    Kichun Jo;Minchul Lee;Myoungho Sunwoo

  • Re-Plannable Automated Parking System With a Standalone Around View Monitor for Narrow Parking Lots

    Chulhoon Jang;Chansoo Kim;Seongjin Lee;Seokwon Kim

Frequent Co-Authors

Changhee Lee
Changhee Lee Seoul National University
Wooyoung Lee
Wooyoung Lee Yonsei University
Fawzi Nashashibi
Fawzi Nashashibi French Institute for Research in Computer Science and Automation - INRIA

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