World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
7528
World Ranking
3751
National Ranking
120

Sung Jin Yoo 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 Sung Jin Yoo 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: 179 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Sung Jin Yoo 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 Sung Jin Yoo 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: 44 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Overview

Sung Jin Yoo is affiliated with Chung-Ang University in South Korea. Their research spans multiple disciplines predominantly within engineering and computer science. Yoo's work focuses on areas including adaptive control of nonlinear systems, distributed control of multi-agent systems, neural networks stability and synchronization, underwater vehicles and communication systems, stability and control of uncertain systems, control and dynamics of mobile robots, and adaptive dynamic programming control.

The major fields of study for Yoo include:

  • Engineering
  • Computer Science

Within these fields, Yoo has contributed extensively to the following subfields:

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Ocean Engineering
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering

Yoo has published in a number of academic venues. Frequent publication venues include:

  • IEEE Access
  • Mathematics
  • Nonlinear Dynamics
  • Ocean Engineering
  • International Journal of Robust and Nonlinear Control

Yoo's recent notable papers include:

  • "Connectivity-maintaining and collision-avoiding performance function approach for robust leader-follower formation control of multiple uncertain underactuated surface vessels" (2021, Automatica)
  • "Quantized feedback adaptive command filtered backstepping control for a class of uncertain nonlinear strict-feedback systems" (2020, Nonlinear Dynamics)
  • "Neural-Network-Based Distributed Asynchronous Event-Triggered Consensus Tracking of a Class of Uncertain Nonlinear Multi-Agent Systems" (2021, IEEE Transactions on Neural Networks and Learning Systems)
  • "Distributed Quantized Feedback Design Strategy for Adaptive Consensus Tracking of Uncertain Strict-Feedback Nonlinear Multiagent Systems With State Quantizers" (2021, IEEE Transactions on Cybernetics)
  • "Quantized-communication-based neural network control for formation tracking of networked multiple unmanned surface vehicles without velocity information" (2022, Engineering Applications of Artificial Intelligence)

The scientist frequently collaborates with several co-authors, among whom are:

  • Bong Seok Park
  • Yun Ho Choi
  • Hyeong Jin Kim
  • Byung Mo Kim
  • Seok Gyu Jang

Best Publications

  • Adaptive Dynamic Surface Control for Stabilization of Parametric Strict-Feedback Nonlinear Systems With Unknown Time Delays

    Sung Jin Yoo;Jin Bae Park;Yoon Ho Choi

  • Distributed adaptive containment control of uncertain nonlinear multi-agent systems in strict-feedback form☆

    Sung Jin Yoo

  • Adaptive Neural Sliding Mode Control of Nonholonomic Wheeled Mobile Robots With Model Uncertainty

    Bong Seok Park;Sung Jin Yoo;Jin Bae Park;Yoon Ho Choi

  • Distributed Consensus Tracking for Multiple Uncertain Nonlinear Strict-Feedback Systems Under a Directed Graph

    Sung Jin Yoo

  • A Simple Adaptive Control Approach for Trajectory Tracking of Electrically Driven Nonholonomic Mobile Robots

    Bong Seok Park;Sung Jin Yoo;Jin Bae Park;Yoon Ho Choi

  • Neural-Network-Based Decentralized Adaptive Control for a Class of Large-Scale Nonlinear Systems With Unknown Time-Varying Delays

    Sung Jin Yoo;Jin Bae Park

  • Adaptive Dynamic Surface Control of Flexible-Joint Robots Using Self-Recurrent Wavelet Neural Networks

    Sung Jin Yoo;Jin Bae Park;Yoon Ho Choi

  • Adaptive Output Feedback Control of Flexible-Joint Robots Using Neural Networks: Dynamic Surface Design Approach

    Sung Jin Yoo;Jin Bae Park;Yoon Ho Choi

  • Brief paper: Decentralized adaptive stabilization of interconnected nonlinear systems with unknown non-symmetric dead-zone inputs

    Sung Jin Yoo;Jin Bae Park;Yoon Ho Choi

  • Generalized predictive control based on self-recurrent wavelet neural network for stable path tracking of mobile robots: adaptive learning rates approach

    Sung Jin Yoo;Yoon Ho Choi;Jin Bae Park

  • Distributed formation tracking of networked mobile robots under unknown slippage effects

    Sung Jin Yoo;Tae-Hyoung Kim

  • Approximation-based adaptive control of uncertain non-linear pure-feedback systems with full state constraints

    Bong Su Kim;Sung Jin Yoo

  • Neural-Network-Based Adaptive Resilient Dynamic Surface Control Against Unknown Deception Attacks of Uncertain Nonlinear Time-Delay Cyberphysical Systems

    Sung Jin Yoo

  • Stable Predictive Control of Chaotic Systems Using Self-Recurrent Wavelet Neural Network

    Sung Jin Yoo;Jin Bae Park;Yoon Ho Choi

  • An Error Transformation Approach for Connectivity-Preserving and Collision-Avoiding Formation Tracking of Networked Uncertain Underactuated Surface Vessels

    Bong Seok Park;Sung Jin Yoo

  • Adaptive Neural Control for a Class of Strict-Feedback Nonlinear Systems With State Time Delays

    Sung Jin Yoo;Jin Bae Park;Yoon Ho Choi

  • Connectivity-maintaining and collision-avoiding performance function approach for robust leader–follower formation control of multiple uncertain underactuated surface vessels

    Bong Seok Park;Sung Jin Yoo

  • Indirect adaptive control of nonlinear dynamic systems using self recurrent wavelet neural networks via adaptive learning rates

    Sung Jin Yoo;Jin Bae Park;Yoon Ho Choi

  • Distributed consensus tracking of a class of asynchronously switched nonlinear multi-agent systems

    Sung Jin Yoo

  • Adaptive control of nonlinear pure-feedback systems with output constraints: Integral barrier Lyapunov functional approach

    Bong Su Kim;Sung Jin Yoo

  • Adaptive tracking control for a class of wheeled mobile robots with unknown skidding and slipping

    S.J. Yoo

Frequent Co-Authors

Jin Bae Park
Jin Bae Park Yonsei University
Naira Hovakimyan
Naira Hovakimyan University of Illinois at Urbana-Champaign
Chengyu Cao
Chengyu Cao University of Connecticut

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