World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5623
World Ranking
10309
National Ranking
115

Dong-Seong Kim publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Dong-Seong Kim sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 366 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Dong-Seong Kim D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Dong-Seong Kim sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2016 - ACM Senior Member

Overview

Dong-Seong Kim is affiliated with Kumoh National Institute of Technology in South Korea. Their research primarily spans the fields of Computer Science and Engineering, with a significant volume of work in specialized subfields including Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Aerospace Engineering, and Computer Vision and Pattern Recognition.

Their main research topics include IoT and Edge/Fog Computing, Blockchain Technology Applications and Security, Radar Systems and Signal Processing, Wireless Signal Modulation Classification, Network Security and Intrusion Detection, UAV Applications and Optimization, and Anomaly Detection Techniques and Applications.

Kim's recent scholarly contributions include papers such as "Artificial intelligence for the metaverse: A survey" published in 2022 in Engineering Applications of Artificial Intelligence, "MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification" (2020) in IEEE Communications Letters, "CNN-Based Automatic Modulation Classification for Beyond 5G Communications" (2020) in IEEE Communications Letters, "Prospects and challenges of Metaverse application in data-driven intelligent transportation systems" (2022) in IET Intelligent Transport Systems, and "Toward the Internet of Things for Physical Internet: Perspectives and Challenges" (2020) in IEEE Internet of Things Journal.

Frequent collaborators include Jae-Min Lee, Cosmas Ifeanyi Nwakanma, Thien Huynh-The, Love Allen Chijioke Ahakonye, and Hoa Tran-Dang. Kim has published extensively in venues such as the 2021 International Conference on Information and Communication Technology Convergence (ICTC), IEEE Access, The Journal of Korean Institute of Communications and Information Sciences, the 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), and IEEE Internet of Things Journal.

Kim is recognized as an ACM Senior Member since 2016.

Best Publications

  • MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification

    Thien Huynh-The;Cam-Hao Hua;Quoc-Viet Pham;Dong-Seong Kim

  • CNN-Based Automatic Modulation Classification for Beyond 5G Communications

    Ade Pitra Hermawan;Rizki Rivai Ginanjar;Dong-Seong Kim;Jae-Min Lee

  • Toward the Internet of Things for Physical Internet: Perspectives and Challenges

    Hoa Tran-Dang;Nicolas Krommenacker;Patrick Charpentier;Dong-Seong Kim

  • Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network

    Van-Sang Doan;Thien Huynh-The;Dong-Seong Kim

  • Automatic Modulation Classification: A Deep Architecture Survey

    Thien Huynh-The;Quoc-Viet Pham;Toan-Van Nguyen;Thanh Thi Nguyen

  • The Internet of Things for Logistics: Perspectives, Application Review, and Challenges

    Hoa Tran-Dang;Nicolas Krommenacker;Patrick Charpentier;Dong-Seong Kim

  • Reinforcement learning based resource management for fog computing environment: Literature review, challenges, and open issues

    Unknown

  • Reliability Analysis in Smart Grid Networks Considering Distributed Energy Resources and Storage Devices

    Asatilla Abdukhakimov;Sanjay Bhardwaj;Gaspard Gashema

  • Accurate LPI Radar Waveform Recognition With CWD-TFA for Deep Convolutional Network

    Thien Huynh-The;Van-Sang Doan;Cam-Hao Hua;Quoc-Viet Pham

  • Composite and efficient DDoS attack detection framework for B5G networks

    Gabriel Chukwunonso Amaizu;Cosmas Ifeanyi Nwakanma;Sanjay Bhardwaj;J. M. Lee

  • Energy-Aware Real-Time Routing for Large-Scale Industrial Internet of Things

    Nguyen Bach Long;Hoa Tran-Dang;Dong-Seong Kim

  • Throughput-Aware Routing for Industrial Sensor Networks: Application to ISA100.11a

    Pham Tran Anh Quang;Dong-Seong Kim

  • FRATO: Fog Resource Based Adaptive Task Offloading for Delay-Minimizing IoT Service Provisioning

    Hoa Tran-Dang;Dong-Seong Kim

  • Image representation of pose-transition feature for 3D skeleton-based action recognition

    Thien Huynh-The;Cam-Hao Hua;Trung-Thanh Ngo;Dong-Seong Kim

  • Sparsely Connected CNN for Efficient Automatic Modulation Recognition

    Godwin Brown Tunze;Thien Huynh-The;Jae-Min Lee;Dong-Seong Kim

  • Geographical awareness hybrid routing protocol in Mobile Ad Hoc Networks

    Thi Minh Pham;Trong-Tien Nguyen;Dong-Seong Kim

  • Encoding Pose Features to Images With Data Augmentation for 3-D Action Recognition

    Thien Huynh-The;Cam-Hao Hua;Dong-Seong Kim

  • IoT-based adaptive network mechanism for reliable smart farm system

    Muhammad Rusyadi Ramli;Philip Tobianto Daely;Dong-Seong Kim;Jae Min Lee

  • Edge computational task offloading scheme using reinforcement learning for IIoT scenario

    Md. Sajjad Hossain;Cosmas Ifeanyi Nwakanma;Jae Min Lee;Dong-Seong Kim

  • Physical Activity Recognition With Statistical-Deep Fusion Model Using Multiple Sensory Data for Smart Health

    Thien Huynh-The;Cam-Hao Hua;Nguyen Anh Tu;Dong-Seong Kim

  • Distributed cooperative transmission for underwater acoustic sensor networks

    Do Duy Tan;Tung Thanh Le;Dong-Seong Kim

  • An Information Framework of Internet of Things Services for Physical Internet

    Dong-Seong Kim;Hoa Tran-Dang

Frequent Co-Authors

Thien Huynh-The
Thien Huynh-The Ho Chi Minh City University of Technology and Education
Quoc-Viet Pham
Quoc-Viet Pham Trinity College Dublin
Ahmad Jalal
Ahmad Jalal Air University
Soo Young Shin
Soo Young Shin Kumoh National Institute of Technology
Ming Zeng
Ming Zeng Université Laval

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