World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8088
World Ranking
10546
National Ranking
119

Wonyong Sung 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 Wonyong Sung 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: 223 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Wonyong Sung 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 Wonyong Sung 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Wonyong Sung is affiliated with Seoul National University in South Korea and works primarily in the field of Computer Science, focusing on areas related to Artificial Intelligence. Their research spans several subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, and Statistical and Nonlinear Physics.

The main research topics covered by Sung include:

  • Advanced Neural Network Applications
  • Neural Networks and Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Machine Learning and ELM
  • Model Reduction and Neural Networks
  • EEG and Brain-Computer Interfaces

Wonyong Sung has contributed to multiple scientific publications across several venues. Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)
  • Journal of Signal Processing Systems
  • 2022 IEEE Spoken Language Technology Workshop (SLT)

Recent papers authored or coauthored by Wonyong Sung include:

  • "HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface" published in 2020 in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima" published in 2020 on arXiv (Cornell University)
  • "Performance Assessment of Automatic Sleep Stage Classification Using Only Partial PSG Sensors" published in 2022 at the 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)
  • "Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks" published in 2021 in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Token-Scaled Logit Distillation for Ternary Weight Generative Language Models" published in 2023 on arXiv (Cornell University)

The scientist frequently collaborates with a number of coauthors, including:

  • Sungho Shin
  • Jin-Hwan Park
  • Yoonho Boo
  • Iksoo Choi
  • Jungwook Choi

Best Publications

  • A statistical model-based voice activity detection

    Jongseo Sohn;Nam Soo Kim;Wonyong Sung

  • Structured Pruning of Deep Convolutional Neural Networks

    Sajid Anwar;Kyuyeon Hwang;Wonyong Sung

  • Fixed-point optimization utility for C and C++ based digital signal processing programs

    Seehyun Kim;Ki-Il Kum;Wonyong Sung

  • A voice activity detector employing soft decision based noise spectrum adaptation

    Jongseo Sohn;Wonyong Sung

  • Fixed-point feedforward deep neural network design using weights +1, 0, and −1

    Kyuyeon Hwang;Wonyong Sung

  • Simulation-based word-length optimization method for fixed-point digital signal processing systems

    Wonyong Sung;Ki-Il Kum

  • Fixed point optimization of deep convolutional neural networks for object recognition

    Sajid Anwar;Kyuyeon Hwang;Wonyong Sung

  • Low-Power High-Throughput BCH Error Correction VLSI Design for Multi-Level Cell NAND Flash Memories

    Wei Liu;Junrye Rho;Wonyong Sung

  • Combined word-length optimization and high-level synthesis of digital signal processing systems

    Ki-Il Kum;Wonyong Sung

  • Resiliency of Deep Neural Networks under Quantization

    Wonyong Sung;Sungho Shin;Kyuyeon Hwang

  • AUTOSCALER for C: an optimizing floating-point to integer C program converter for fixed-point digital signal processors

    Ki-Il Kum;Jiyang Kang;Wonyong Sung

  • VLSI Implementation of BCH Error Correction for Multilevel Cell NAND Flash Memory

    Hyojin Choi;Wei Liu;Wonyong Sung

  • Bose-Chaudhuri-Hocquenghem error correction method and circuit for checking error using error correction encoder

    Wei Liu;Won-Yong Sung

  • Estimation of NAND Flash Memory Threshold Voltage Distribution for Optimum Soft-Decision Error Correction

    Dong-hwan Lee;Wonyong Sung

  • Power Modeling for GPU Architectures Using McPAT

    Jieun Lim;Nagesh B. Lakshminarayana;Hyesoon Kim;William Song

  • FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks

    Minjae Lee;Kyuyeon Hwang;Jinhwan Park;Sungwook Choi

  • Fixed-point performance analysis of recurrent neural networks

    Sungho Shin;Kyuyeon Hwang;Wonyong Sung

  • A floating-point to fixed-point assembly program translator for the TMS 320C25

    Seehyun Kim;Wonyong Sung

  • Rate-0.96 LDPC Decoding VLSI for Soft-Decision Error Correction of NAND Flash Memory

    Jonghong Kim;Wonyong Sung

  • FPGA based implementation of deep neural networks using on-chip memory only

    Jinhwan Park;Wonyong Sung

Frequent Co-Authors

Soonhoi Ha
Soonhoi Ha Seoul National University
Sanjit K. Mitra
Sanjit K. Mitra University of California, Santa Barbara
Kurt Keutzer
Kurt Keutzer University of California, Berkeley
Swagath Venkataramani
Swagath Venkataramani IBM (United States)
Byonghyo Shim
Byonghyo Shim Seoul National University
Kiyoung Choi
Kiyoung Choi Seoul National University
Naresh R. Shanbhag
Naresh R. Shanbhag University of Illinois at Urbana-Champaign
Liang-Gee Chen
Liang-Gee Chen National Taiwan University
Vijayalakshmi Srinivasan
Vijayalakshmi Srinivasan IBM (United States)
Sudhakar Yalamanchili
Sudhakar Yalamanchili Georgia Institute of Technology

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