World's Best Scientists 2026 revealed!
Choong Seon Hong

Choong Seon Hong

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Computer Science
Korea
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
70
Citations
24782
World Ranking
895
National Ranking
17

Computer Science

D-Index
71
Citations
26563
World Ranking
1747
National Ranking
7

Choong Seon 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 Choong Seon 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: 1,052 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Choong Seon 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 Choong Seon 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: 70 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in Korea Leader Award
  • 2025 - Research.com Computer Science in Korea Leader Award
  • 2022 - Research.com Computer Science in Korea Leader Award

Overview

Choong Seon Hong is affiliated with Kyung Hee University in South Korea. Their research spans multiple fields with a primary focus on Computer Science and Engineering. Within these main fields, Hong has contributed extensively to subfields including Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, and Computer Vision and Pattern Recognition.

The researcher's recent published papers include:

  • Energy Efficient Federated Learning Over Wireless Communication Networks, 2020, IEEE Transactions on Wireless Communications
  • Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions, 2022, IEEE Communications Magazine
  • 6G Wireless Systems: A Vision, Architectural Elements, and Future Directions, 2020, IEEE Access
  • A Crowdsourcing Framework for On-Device Federated Learning, 2020, IEEE Transactions on Wireless Communications
  • Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges, 2021, Journal of Network and Computer Applications

Frequent collaborators include:

  • Zhu Han
  • Walid Saad
  • Yan Kyaw Tun
  • Latif U. Khan
  • Nguyen H. Tran

Hong's work has been published in various venues, with a notable number of publications in:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Access
  • IEEE Transactions on Vehicular Technology
  • SSRN Electronic Journal

Their research encompasses several key topics, including:

  • Privacy-Preserving Technologies in Data
  • IoT and Edge/Fog Computing
  • Advanced Wireless Communication Technologies
  • UAV Applications and Optimization
  • Satellite Communication Systems
  • Stochastic Gradient Optimization Techniques
  • Advanced MIMO Systems Optimization

In addition to articles, Hong has contributed to book publications such as:

  • Federated Learning for Wireless Networks, published by Springer International Publishing in 2021

Best Publications

  • Energy Efficient Federated Learning Over Wireless Communication Networks

    Zhaohui Yang;Mingzhe Chen;Walid Saad;Choong Seon Hong

  • Federated Learning over Wireless Networks: Optimization Model Design and Analysis

    Nguyen H. Tran;Wei Bao;Albert Zomaya;N H Nguyen Minh

  • Security in wireless sensor networks: issues and challenges

    A.S.K. Pathan;Hyung-Woo Lee;Choong Seon Hong

  • Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience

    Mingzhe Chen;Mohammad Mozaffari;Walid Saad;Changchuan Yin

  • Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

    Canh T. Dinh;Nguyen H. Tran;Minh N. H. Nguyen;Choong Seon Hong

  • Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

    Latif U. Khan;Walid Saad;Zhu Han;Ekram Hossain

  • Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions.

    Latif U. Khan;Walid Saad;Dusit Niyato;Zhu Han

  • Human Behavior Analysis by Means of Multimodal Context Mining.

    Oresti Banos;Claudia Villalonga;Jaehun Bang;Taeho Hur

  • Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism

    Latif U. Khan;Shashi Raj Pandey;Nguyen H. Tran;Walid Saad

  • 6G Wireless Systems: A Vision, Architectural Elements, and Future Directions

    Latif U. Khan;Ibrar Yaqoob;Muhammad Imran;Zhu Han

  • Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

    Latif U. Khan;Ibrar Yaqoob;Nguyen H. Tran;S. M. Ahsan Kazmi

  • Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges

    Ibrar Yaqoob;Ibrahim Abaker Targio Hashem;Arif Ahmed;Arif Ahmed;S.M. Ahsan Kazmi

  • Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities

    Unknown

  • Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach

    Madyan Alsenwi;Nguyen H. Tran;Mehdi Bennis;Shashi Raj Pandey

  • A Crowdsourcing Framework for On-Device Federated Learning

    Shashi Raj Pandey;Nguyen H. Tran;Mehdi Bennis;Yan Kyaw Tun

  • Game Theory for Cyber Security and Privacy

    Cuong T. Do;Nguyen H. Tran;Choongseon Hong;Charles A. Kamhoua

  • Autonomous Driving Cars in Smart Cities: Recent Advances, Requirements, and Challenges

    Ibrar Yaqoob;Latif U. Khan;S. M. Ahsan Kazmi;Muhammad Imran

  • Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges

    Umer Majeed;Latif U. Khan;Ibrar Yaqoob;S.M. Ahsan Kazmi

  • Joint Communication, Computation, Caching, and Control in Big Data Multi-Access Edge Computing

    Anselme Ndikumana;Nguyen H. Tran;Tai Manh Ho;Zhu Han

  • Traffic-Aware and Energy-Efficient vNF Placement for Service Chaining: Joint Sampling and Matching Approach

    Chuan Pham;Nguyen H. Tran;Shaolei Ren;Walid Saad

  • Identity-based mutual device authentication schemes for PLC system

    Joon Heo;Choong Seon Hong;Moon Seok Choi;Seong Ho Ju

Frequent Co-Authors

Nguyen H. Tran
Nguyen H. Tran University of Sydney
Zhu Han
Zhu Han University of Houston
Walid Saad
Walid Saad Virginia Tech
Eui-Nam Huh
Eui-Nam Huh Kyung Hee University
Shaolei Ren
Shaolei Ren University of California, Riverside
Mehdi Bennis
Mehdi Bennis University of Oulu
Long Bao Le
Long Bao Le Institut National de la Recherche Scientifique
Dusit Niyato
Dusit Niyato Nanyang Technological University
Merouane Debbah
Merouane Debbah Khalifa University
Mingzhe Chen
Mingzhe Chen University of Miami

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