World's Best Scientists 2026 revealed!
Hyoung Joong Kim

Hyoung Joong Kim

D-Index & Metrics

Computer Science

D-Index
38
Citations
6783
World Ranking
10167
National Ranking
111

Hyoung Joong 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 Hyoung Joong 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: 241 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Hyoung Joong 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 Hyoung Joong 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.

Overview

Hyoung Joong Kim is affiliated with Korea University in South Korea and has contributed to research primarily within the field of Computer Science. Their work spans several specialized subfields, including Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Industrial and Manufacturing Engineering, and Computational Theory and Mathematics.

The research topics explored by Hyoung Joong Kim focus on various advanced computational and network technologies. Key topics include:

  • Advanced Steganography and Watermarking Techniques
  • Caching and Content Delivery
  • Peer-to-Peer Network Technologies
  • Advanced Data Storage Technologies
  • Coding Theory and Cryptography
  • Cryptography and Data Security
  • Cryptographic Implementations and Security

Hyoung Joong Kim's recent publications highlight a breadth of interests across cryptography, network technologies, and data security. Published works include:

  • "Rentable CDN Using Blockchain and Proof of Provenance," 2020, Applied Sciences
  • "Fully homomorphic encryption scheme and Fermat's little theorem," 2022, Journal of Algebra and Its Applications
  • "Noise Minimizing Automatic Contrast Enhancement Using Reversible Data Hiding," 2020, Journal of the Institute of Electronics and Information Engineers
  • "Understanding of Decentralized Finance: From the Perspective of Corporate Financing and Governance Changese," 2022, Global Financial Review
  • "Two Symbol Expansion Methods and Their Application to Reversible Data Hiding," 2024, IEEE Access

The frequent coauthors collaborating with Hyoung Joong Kim consist of Suah Kim, Vasily Sachnev, Samgu Chun, Wonseok Choi, and Jin Woo Hyun.

Research contributions are distributed across several publication venues, which include:

  • Applied Sciences
  • Journal of Algebra and Its Applications
  • Journal of the Institute of Electronics and Information Engineers
  • Global Financial Review
  • IEEE Access

Best Publications

  • Reversible Watermarking Algorithm Using Sorting and Prediction

    V. Sachnev;Hyoung Joong Kim;Jeho Nam;S. Suresh

  • A Novel Difference Expansion Transform for Reversible Data Embedding

    Hyoung Joong Kim;V. Sachnev;Yun Qing Shi;Jeho Nam

  • Modified patchwork algorithm: a novel audio watermarking scheme

    In-Kwon Yeo;Hyoung Joong Kim

  • No-reference image quality assessment using modified extreme learning machine classifier

    S. Suresh;R. Venkatesh Babu;H. J. Kim

  • Reversible Data Hiding in JPEG Images

    Fangjun Huang;Xiaochao Qu;Hyoung Joong Kim;Jiwu Huang

  • Pixel-based pixel value ordering predictor for high-fidelity reversible data hiding

    Xiaochao Qu;Hyoung Joong Kim

  • Invariant Image Watermarking Based on Statistical Features in the Low-Frequency Domain

    Shijun Xiang;Hyoung Joong Kim;Jiwu Huang

  • A novel echo-hiding scheme with backward and forward kernels

    Hyoung Joong Kim;Yong Hee Choi

  • A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes

    Yiyu Chen;Ayalneh Dessalegn Atnafu;Isabella Schlattner;Wendimagegn Tariku Weldtsadik

  • Histogram-based image hashing scheme robust against geometric deformations

    Shijun Xiang;Hyoung-Joong Kim;Jiwu Huang

  • Audio Watermarking Techniques

    Hyoung Joong Kim;Yong Hee Choi;Jongwon Seok;Jinwoo Hong

  • A sequential learning algorithm for self-adaptive resource allocation network classifier

    S. Suresh;Keming Dong;H. J. Kim

  • Audio watermarking robust against time-scale modification and MP3 compression

    Shijun Xiang;Hyoung Joong Kim;Jiwu Huang

  • Skewed Histogram Shifting for Reversible Data Hiding Using a Pair of Extreme Predictions

    Suah Kim;Xiaochao Qu;Vasily Sachnev;Hyoung Joong Kim

  • Less detectable JPEG steganography method based on heuristic optimization and BCH syndrome coding

    Vasiliy Sachnev;Hyoung Joong Kim;Rongyue Zhang

  • Electronic Voting Service Using Block-Chain

    Kibin Lee;Joshua I James;Tekachew Gobena Ejeta;Hyoung Joong Kim

  • Improved modification direction methods

    H. J. Kim;C. Kim;Y. Choi;S. Wang

  • Fast BCH Syndrome Coding for Steganography

    Rongyue Zhang;Vasiliy Sachnev;Hyoung Joong Kim

  • Optimal load distribution for tree network processors

    Hyoung Joong Kim;Gyu-in Jee;Jang Gyu Lee

  • A Meta-Cognitive Learning Algorithm for an Extreme Learning Machine Classifier

    Ramaswamy Savitha;Sundaram Suresh;H. J. Kim

  • Reversible watermarking method using optimal histogram pair shifting based on prediction and sorting

    Hee Joon Hwang;Hyoung Joong Kim;Vasiliy Sachnev;Sang Hyun Joo

Frequent Co-Authors

Yun Q. Shi
Yun Q. Shi New Jersey Institute of Technology
Sundaram Suresh
Sundaram Suresh Indian Institute of Science
Mauro Barni
Mauro Barni University of Siena
Debasish Ghose
Debasish Ghose Indian Institute of Science
Jiwu Huang
Jiwu Huang Shenzhen University
Ton Kalker
Ton Kalker Hewlett-Packard (United States)
Ingemar J. Cox
Ingemar J. Cox University College London
Ebroul Izquierdo
Ebroul Izquierdo Queen Mary University of London
Stefan Katzenbeisser
Stefan Katzenbeisser University of Passau
Jong Hyuk Park
Jong Hyuk Park Seoul National University of Science and Technology

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