World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
32
Citations
4213
World Ranking
3159
National Ranking
69

Electronics and Electrical Engineering

D-Index
32
Citations
4124
World Ranking
6334
National Ranking
229

Dongsuk Kum 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 Dongsuk Kum 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: 105 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Dongsuk Kum 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 Dongsuk Kum 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Dongsuk Kum is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research primarily spans the fields of Engineering and Computer Science, with a focus on the subfields of Automotive Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, and Artificial Intelligence.

The scientist's work is centered on several main topics, including:

  • Advanced Neural Network Applications
  • Autonomous Vehicle Technology and Safety
  • Electric and Hybrid Vehicle Technologies
  • Robotics and Sensor-Based Localization
  • Electric Vehicles and Infrastructure
  • Advanced Battery Technologies Research
  • Video Surveillance and Tracking Methods

Dongsuk Kum has contributed to multiple academic venues, publishing predominantly in:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • Applied Energy
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Access

Frequent collaborators include:

  • Sanmin Kim
  • Jun Won Choi
  • Hyeongseok Jeon
  • Young-Seok Kim
  • Hyeonjun Jeong

Their recent papers reflect a concentration on vehicle technologies, sensor fusion, and autonomous driving systems:

  • "A survey of powertrain configuration studies on hybrid electric vehicles" (2020), Applied Energy
  • "End-to-End Autonomous Driving Through Dueling Double Deep Q-Network" (2021), Automotive Innovation
  • "CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer" (2023), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Autonomous Vehicle Cut-In Algorithm for Lane-Merging Scenarios via Policy-Based Reinforcement Learning Nested Within Finite-State Machine" (2022), IEEE Transactions on Intelligent Transportation Systems
  • "Camera and Radar Sensor Fusion for Robust Vehicle Localization via Vehicle Part Localization" (2020), IEEE Access

Best Publications

  • Economic Analysis of the Dynamic Charging Electric Vehicle

    Seungmin Jeong;Young Jae Jang;Dongsuk Kum

  • Robust control of heterogeneous vehicular platoon with uncertain dynamics and communication delay

    Feng Gao;Shengbo Eben Li;Yang Zheng;Dongsuk Kum

  • $\hbox{Prius}^{+}$ and $\hbox{Volt}^{-}$ : Configuration Analysis of Power-Split Hybrid Vehicles With a Single Planetary Gear

    Xiaowu Zhang;Chiao-Ting Li;Dongsuk Kum;Huei Peng

  • A survey of powertrain configuration studies on hybrid electric vehicles

    Weichao Zhuang;Shengbo Li;Xiaowu Zhang;Dongsuk Kum

  • Optimal adaptation of equivalent factor of equivalent consumption minimization strategy for fuel cell hybrid electric vehicles under active state inequality constraints

    Jihun Han;Youngjin Park;Dongsuk Kum

  • Supervisory Control of Parallel Hybrid Electric Vehicles for Fuel and Emission Reduction

    Dongsuk Kum;Huei Peng;Norman K. Bucknor

  • A comprehensive design methodology of organic Rankine cycles for the waste heat recovery of automotive heavy-duty diesel engines

    Simone Amicabile;Jeong-Ik Lee;Dongsuk Kum

  • Optimal Energy and Catalyst Temperature Management of Plug-in Hybrid Electric Vehicles for Minimum Fuel Consumption and Tail-Pipe Emissions

    Dongsuk Kum;Huei Peng;N. K. Bucknor

  • Collision Risk Assessment Algorithm via Lane-Based Probabilistic Motion Prediction of Surrounding Vehicles

    Jaehwan Kim;Dongsuk Kum

  • Optimal Path Tracking Control of Autonomous Vehicle: Adaptive Full-State Linear Quadratic Gaussian (LQG) Control

    Kibeom Lee;Seungmin Jeon;Heegwon Kim;Dongsuk Kum

  • The multilayer perceptron approach to lateral motion prediction of surrounding vehicles for autonomous vehicles

    Seungje Yoon;Dongsuk Kum

  • Drone-Assisted Disaster Management: Finding Victims via Infrared Camera and Lidar Sensor Fusion

    Seoungjun Lee;Dongsoo Har;Dongsuk Kum

  • CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception

    Unknown

  • Collision Avoidance/Mitigation System: Motion Planning of Autonomous Vehicle via Predictive Occupancy Map

    Kibeom Lee;Dongsuk Kum

  • Charging Automation for Electric Vehicles: Is a Smaller Battery Good for the Wireless Charging Electric Vehicles?

    Seungmin Jeong;Young Jae Jang;Dongsuk Kum;Min Seok Lee

  • Comprehensive Design Methodology of Input- and Output-Split Hybrid Electric Vehicles: In Search of Optimal Configuration

    Hyunjun Kim;Dongsuk Kum

  • End-to-End Autonomous Driving Through Dueling Double Deep Q-Network

    Baiyu Peng;Qi Sun;Shengbo Eben Li;Dongsuk Kum

  • SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network

    Hyeongseok Jeon;Junwon Choi;Dongsuk Kum

  • Control of Engine-Starts for Optimal Drivability of Parallel Hybrid Electric Vehicles

    Dongsuk Kum;Huei Peng;Norman K. Bucknor

  • Simplification of pseudo two dimensional battery model using dynamic profile of lithium concentration

    Paulo Kemper;Shengbo Eben Li;Dongsuk Kum

  • Synthesis of Predictive Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicles Based on Closed-Form Solution of Optimal Equivalence Factor

    Jihun Han;Dongsuk Kum;Youngjin Park

  • GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image

    Youngseok Kim;Jun Won Choi;Dongsuk Kum

  • Threat prediction algorithm based on local path candidates and surrounding vehicle trajectory predictions for automated driving vehicles

    Jae-Hwan Kim;Dong-Suk Kum

  • Robust multi-lane detection and tracking using adaptive threshold and lane classification

    Yeongho Son;Elijah S. Lee;Dongsuk Kum

  • Deep Learning based Vehicle Position and Orientation Estimation via Inverse Perspective Mapping Image

    Youngseok Kim;Dongsuk Kum

Frequent Co-Authors

Huei Peng
Huei Peng University of Michigan–Ann Arbor
Shengbo Eben Li
Shengbo Eben Li Tsinghua University
Jeong-Ik Lee
Jeong-Ik Lee Korea Advanced Institute of Science and Technology
Ziyou Song
Ziyou Song National University of Singapore
Juan-Carlos Cano
Juan-Carlos Cano Universitat Politècnica de València
Hai L. Vu
Hai L. Vu Monash University

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