World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5545
World Ranking
12549
National Ranking
164

Hyongsuk 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 Hyongsuk 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: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Hyongsuk 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 Hyongsuk 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Hyongsuk Kim is affiliated with Jeonbuk National University in South Korea and has contributed extensively to the fields of Agricultural and Biological Sciences as well as Computer Science. Their research spans 56 publications in Agricultural and Biological Sciences and 34 in Computer Science, focusing on interdisciplinary applications at the intersection of agriculture and technology.

The scientist's work mainly covers subfields such as Plant Science, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, and Electrical and Electronic Engineering. Within these areas, the primary topics addressed include Smart Agriculture and AI, Plant Disease Management Techniques, Advanced Memory and Neural Computing, Food Supply Chain Traceability, Plant Virus Research Studies, AI in cancer detection, and Advanced Neural Network Applications.

Frequent venues where Kim's research has appeared include Frontiers in Plant Science with 8 publications, Computers and Electronics in Agriculture with 6, IEEE Access with 4, arXiv (Cornell University) with 4, and Electronics with 3 publications. These venues reflect a combination of applied agricultural science and computational methods, highlighting a cross-disciplinary approach.

Notable recent papers by Hyongsuk Kim include:

  • CED-Net: Crops and Weeds Segmentation for Smart Farming Using a Small Cascaded Encoder-Decoder Architecture, 2020, Electronics
  • Deep Neural Network-Based System for Autonomous Navigation in Paddy Field, 2020, IEEE Access
  • TSFD-Net: Tissue specific feature distillation network for nuclei segmentation and classification, 2022, Neural Networks
  • Microtubules as Sub-Cellular Memristors, 2020, Scientific Reports
  • Multi-Scale Context Aggregation for Strawberry Fruit Recognition and Disease Phenotyping, 2021, IEEE Access

Collaborations have been a significant component of Kim's research output, with frequent co-authors including Talha Ilyas, Dewa Made Sri Arsa, Dong Sun Park, Sook Yoon, and Zubaer Ibna Mannan. These partnerships further emphasize the multidisciplinary nature of their work and contributions to advancing smart agriculture technologies and computational methods in biological sciences.

Best Publications

  • Memristor Emulator for Memristor Circuit Applications

    Hyongsuk Kim;M. Pd Sah;Changju Yang;Seongik Cho

  • Memristor Bridge Synapse-Based Neural Network and Its Learning

    S. P. Adhikari;Changju Yang;Hyongsuk Kim;L. O. Chua

  • Neural Synaptic Weighting With a Pulse-Based Memristor Circuit

    Hyongsuk Kim;Maheshwar Sah;Changju Yang;Tamás Roska

  • Memristor Bridge Synapses

    Hyongsuk Kim;M. P. Sah;Changju Yang;T. Roska

  • A Circuit-Based Learning Architecture for Multilayer Neural Networks With Memristor Bridge Synapses

    Shyam Prasad Adhikari;Hyongsuk Kim;Ram Kaji Budhathoki;Changju Yang

  • Osteoporosis detection in panoramic radiographs using a deep convolutional neural network-based computer-assisted diagnosis system: a preliminary study

    Jae-Seo Lee;Shyam Adhikari;Liu Liu;Ho-Gul Jeong

  • Memristor-based multilevel memory

    Hyongsuk Kim;M.P. Sah;Changju Yang;L.O. Chua

  • Guided Soft Attention Network for Classification of Breast Cancer Histopathology Images

    Heechan Yang;Ji-Ye Kim;Hyongsuk Kim;Shyam P. Adhikari

  • CMAC-based adaptive critic self-learning control

    C.-S. Lin;H. Kim

  • Seam-line determination for image mosaicking: A technique minimizing the maximum local mismatch and the global cost

    Jaechoon Chon;Hyongsuk Kim;Chun-Shin Lin

  • A Voltage Mode Memristor Bridge Synaptic Circuit with Memristor Emulators

    Maheshwar Pd. Sah;Changju Yang;Hyongsuk Kim;Leon O. Chua

  • CED-Net: Crops and Weeds Segmentation for Smart Farming Using a Small Cascaded Encoder-Decoder Architecture

    Abbas Khan;Talha Ilyas;Muhammad Umraiz;Zubaer Ibna Mannan

  • Deep Neural Network-Based System for Autonomous Navigation in Paddy Field

    Shyam Prasad Adhikari;Gookhwan Kim;Hyongsuk Kim

  • A memristor emulator as a replacement of a real memristor

    Changju Yang;Hyuncheol Choi;Sedong Park;Maheshwar Pd Sah

  • Memristive Imitation of Synaptic Transmission and Plasticity

    Zubaer Ibna Mannan;Shyam Prasad Adhikari;Changju Yang;Ram Kaji Budhathoki

  • Method for advertising using mobile multiplayer game and system thereof

    Hyong-Suk Kim

  • Selection of learning parameters for CMAC-based adaptive critic learning

    C.-S. Lin;H. Kim

  • Learning Semantic Graphics Using Convolutional Encoder-Decoder Network for Autonomous Weeding in Paddy.

    Shyam Prasad Adhikari;Heechan Yang;Hyongsuk Kim

  • Charge Controlled Meminductor Emulator

    Maheshwar Pd. Sah;Ram Kaji Budhathoki;Changju Yang;Hyongsuk Kim

  • Packet Loss Rate Prediction Using the Sparse Basis Prediction Model

    A.F. Atiya;Sung Goo Yoo;Kil To Chong;Hyongsuk Kim

  • Multi-Scale Context Aggregation for Strawberry Fruit Recognition and Disease Phenotyping

    Talha Ilyas;Abbas Khan;Muhammad Umraiz;Yongchae Jeong

  • Deep learning-based multi-cattle tracking in crowded livestock farming using video

    Unknown

  • Morris-Lecar model of third-order barnacle muscle fiber is made of volatile memristors

    Vetriveeran Rajamani;Hyongsuk Kim;Leon O. Chua

Frequent Co-Authors

Leon O. Chua
Leon O. Chua University of California, Berkeley
Kil To Chong
Kil To Chong Jeonbuk National University
Amir F. Atiya
Amir F. Atiya Cairo University
Frank S. Werblin
Frank S. Werblin University of California, Berkeley
Fabian Rotermund
Fabian Rotermund Korea Advanced Institute of Science and Technology
Hyunjung Kim
Hyunjung Kim Hanyang University
Karthik Shankar
Karthik Shankar University of Alberta
Yue Ying Lau
Yue Ying Lau University of Michigan–Ann Arbor
Young Hoon Joo
Young Hoon Joo Kunsan National University
Kee-Young Yoo
Kee-Young Yoo Kyungpook National University

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