World's Best Scientists 2026 revealed!
Seung Ho Hong

Seung Ho Hong

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
31
Citations
4962
World Ranking
6504
National Ranking
236

Seung Ho Hong 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 Seung Ho Hong 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: 138 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Seung Ho Hong 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 Seung Ho Hong 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Seung Ho Hong is affiliated with Hanyang University in South Korea, focusing on research within the fields of Engineering and Computer Science. Their work predominantly spans subfields such as Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture, and Automotive Engineering.

The scientist's research mainly addresses several key topics including:

  • Digital Transformation in Industry
  • Flexible and Reconfigurable Manufacturing Systems
  • Network Time Synchronization Technologies
  • Smart Grid Energy Management
  • IoT and Edge/Fog Computing
  • Electric Power System Optimization
  • Real-Time Systems Scheduling

Seung Ho Hong has contributed to multiple publication venues with a concentration in IEEE Access, where they have published five papers. Other venues include IEEJ Transactions on Electrical and Electronic Engineering, IEEE Industrial Electronics Magazine, Applied Energy, and the Saudi Journal of Biological Sciences.

Notable recent publications include:

  • "An Industry 4.0 Asset Administration Shell-Enabled Digital Solution for Robot-Based Manufacturing Systems" (2021, IEEE Access)
  • "Toward the Plug-and-Produce Capability for Industry 4.0: An Asset Administration Shell Approach" (2020, IEEE Industrial Electronics Magazine)
  • "Practical Implementation of an OPC UA TSN Communication Architecture for a Manufacturing System" (2020, IEEE Access)
  • "Testbed implementation of reinforcement learning-based demand response energy management system" (2021, Applied Energy)
  • "Remaining Useful Life Prediction of Lithium Batteries Based on Extended Kalman Particle Filter" (2021, IEEJ Transactions on Electrical and Electronic Engineering)

Their frequent coauthors include Junhui Jiang, Mengmeng Yu, Xun Ye, Xiongfeng Zhang, and Changdae Lee. These collaborations appear across numerous projects, reflecting consistent teamwork within their specialized domains.

Best Publications

  • A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach

    Renzhi Lu;Seung Ho Hong;Xiongfeng Zhang

  • Incentive-based demand response for smart grid with reinforcement learning and deep neural network

    Renzhi Lu;Seung Ho Hong

  • A Real-Time Demand-Response Algorithm for Smart Grids: A Stackelberg Game Approach

    Mengmeng Yu;Seung Ho Hong

  • Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network

    Renzhi Lu;Seung Ho Hong;Mengmeng Yu

  • Scheduling algorithm of data sampling times in the integrated communication and control systems

    Seung Ho Hong

  • A Demand Response Energy Management Scheme for Industrial Facilities in Smart Grid

    Yue Min Ding;Seung Ho Hong;Xiao Hui Li

  • Supply–demand balancing for power management in smart grid: A Stackelberg game approach

    Mengmeng Yu;Seung Ho Hong

  • Incentive-based demand response considering hierarchical electricity market: A Stackelberg game approach

    Mengmeng Yu;Seung Ho Hong

  • An Incentive-Based Demand Response (DR) Model Considering Composited DR Resources

    Mengmeng Yu;Seung Ho Hong;Yuemin Ding;Xun Ye

  • Bandwidth allocation scheme in CAN protocol

    S.H. Hong;W.-H. Kim

  • An IoT-based energy-management platform for industrial facilities

    Min Wei;Min Wei;Seung Ho Hong;Musharraf Alam

  • Electro-Optic Characteristic of Fringe-Field Switching Mode Depending on Rubbing Direction

    Seung Ho Hong;In Cheol Park;Hyang Yul Kim;Seung Hee Lee

  • Toward Industry 4.0 Components: Insights Into and Implementation of Asset Administration Shells

    Xun Ye;Seung Ho Hong

  • Real-Time Demand Bidding for Energy Management in Discrete Manufacturing Facilities

    Yi-Chang Li;Seung Ho Hong

  • Implementation of a bandwidth allocation scheme in a token-passing fieldbus network

    Seung Ho Hong;Yu Chul Kim

  • Hour-Ahead Price Based Energy Management Scheme for Industrial Facilities

    Xuefei Huang;Seung Ho Hong;Yuting Li

  • Experimental Case Study of a BACnet-Based Lighting Control System

    Tae-Jin Park;Seung-Ho Hong

  • A real-time demand response algorithm for heterogeneous devices in buildings and homes

    Seung Ho Hong;Mengmeng Yu;Xuefei Huang

  • Demand Response Management for Industrial Facilities: A Deep Reinforcement Learning Approach

    Xuefei Huang;Seung Ho Hong;Mengmeng Yu;Yuemin Ding

  • Bandwidth allocation scheme for cyclic-service fieldbus networks

    Seung Ho Hong

  • Bandwidth allocation scheme for cyclic-service fieldbus networks

    Seung Ho Hong

  • A real-time decision model for industrial load management in a smart grid

    Mengmeng Yu;Renzhi Lu;Seung Ho Hong

  • Implementation of a KNX-ZigBee gateway for home automation

    Woo Suk Lee;Seung Ho Hong

  • An Industry 4.0 Asset Administration Shell-Enabled Digital Solution for Robot-Based Manufacturing Systems

    Xun Ye;Seung Ho Hong;Won Seok Song;Yu Chul Kim

  • Implementation and evaluation of the apparatus for intelligent energy management to apply to the smart grid at home

    In-Ho Choi;Joung-Han Lee;Seung-Ho Hong

Frequent Co-Authors

Wei Liang
Wei Liang Shenyang Institute of Automation
Kai Wang
Kai Wang Qingdao University
Young Hee Lee
Young Hee Lee Sungkyunkwan University
Peter Palensky
Peter Palensky Delft University of Technology

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