World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
9711
World Ranking
5887
National Ranking
44

Sang Uk Lee 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 Sang Uk Lee 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: 383 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Sang Uk Lee 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 Sang Uk Lee 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: 49 D-Index — 60th percentile

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

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

Overview

Sang Uk Lee is affiliated with Seoul National University in South Korea. Their research spans several key fields and subfields within engineering and computer science.

The main fields of study include:

  • Engineering
  • Computer Science

Within these fields, the subfields of study are:

  • Aerospace Engineering
  • Artificial Intelligence
  • Computer Networks and Communications
  • Automotive Engineering
  • Control and Systems Engineering

The primary research topics covered by Sang Uk Lee include:

  • GNSS positioning and interference
  • Wireless Communication Networks Research
  • Inertial Sensor and Navigation
  • Autonomous Vehicle Technology and Safety
  • Traffic control and management
  • Reinforcement Learning in Robotics
  • Explainable Artificial Intelligence (XAI)

The scientist's recent publications demonstrate a focus on autonomous vehicles, signal processing, and explainable AI methods. Selected papers are:

  • "Driving in Real Life with Inverse Reinforcement Learning," 2022, arXiv (Cornell University)
  • "Constant Envelope Multiplexing Scheme for Three Equal Power Signals," 2022, 2022 27th Asia Pacific Conference on Communications (APCC)
  • "Explainable deep learning improves human mental models of self-driving cars," 2024, arXiv (Cornell University)

The venues where Sang Uk Lee has published frequently include:

  • arXiv (Cornell University)
  • 2022 27th Asia Pacific Conference on Communications (APCC)

Regular collaborators in research activities are:

  • Tung Phan-Minh
  • Momchil S. Tomov
  • Hyoungsoo Lim
  • Forbes Howington
  • Ting-Sheng Chu

Best Publications

  • Performance study of several global thresholding techniques for segmentation

    Sang Uk Lee;Seok Yoon Chung;Rae Hong Park

  • On the color image segmentation algorithm based on the thresholding and the fuzzy C-means techniques

    Young Won Lim;Sang Uk Lee

  • Efficient video indexing scheme for content-based retrieval

    Hyun Sung Chang;Sanghoon Sull;Sang Uk Lee

  • Robust Stereo Matching Using Adaptive Normalized Cross-Correlation

    Yong Seok Heo;Kyong Mu Lee;Sang Uk Lee

  • A dense stereo matching using two-pass dynamic programming with generalized ground control points

    Jae Chul Kim;Kyoung Mu Lee;Byoung Tae Choi;Sang Uk Lee

  • Learning Full Pairwise Affinities for Spectral Segmentation

    Tae Hoon Kim;Kyoung Mu Lee;Sang Uk Lee

  • On the POCS-based postprocessing technique to reduce the blocking artifacts in transform coded images

    Hoon Paek;Rin-Chul Kim;Sang-Uk Lee

  • Color image segmentation based on 3-D clustering: morphological approach

    Sang Ho Park;Il Dong Yun;Sang Uk Lee

  • DCT coefficients recovery-based error concealment technique and its application to the MPEG-2 bit stream error

    Jong Wook Park;Jong Won Kim;Sang Uk Lee

  • Learning full pairwise affinities for spectral segmentation

    Tae Hoon Kim;Kyoung Mu Lee

  • On the adaptive lattice notch filter for the detection of sinusoids

    N.I. Cho;S.U. Lee

  • Integrated position estimation using aerial image sequences

    Dong-Gyu Sim;Rae-Hong Park;Rin-Chul Kim;Sang Uk Lee

  • Generative Image Segmentation Using Random Walks with Restart

    Tae Hoon Kim;Kyoung Mu Lee;Sang Uk Lee

  • Adaptive line enhancement by using an IIR lattice notch filter

    Nam Ik Cho;Chong-Ho Choi;Sang Uk Lee

  • Occlusion invariant face recognition using selective local non-negative matrix factorization basis images

    Hyun Jun Oh;Kyoung Mu Lee;Sang Uk Lee

  • Image vector quantizer based on a classification in the DCT domain

    Dong Sik Kim;Sang Uk Lee

  • Fusion of Lidar and Imagery for Reliable Building Extraction

    Dong Hyuk Lee;Kyoung Mu Lee;Sang Uk Lee

  • DCT algorithms for VLSI parallel implementations

    Nam Ik Cho;Sang Uk Lee

  • Estimation of intrinsic image sequences from image+depth video

    Kyong Joon Lee;Qi Zhao;Xin Tong;Minmin Gong

  • Face recognition using face-ARG matching

    Bo-Gun Park;Kyoung-Mu Lee;Sang-Uk Lee

Frequent Co-Authors

Chang-Su Kim
Chang-Su Kim Korea University
Kyoung Mu Lee
Kyoung Mu Lee Seoul National University
Nam Ik Cho
Nam Ik Cho Seoul National University
Jaehoon Kim
Jaehoon Kim Hanyang University
JongWon Kim
JongWon Kim Gwangju Institute of Science and Technology
Rae-Hong Park
Rae-Hong Park Sogang University
Kyongtae T. Bae
Kyongtae T. Bae University of Pittsburgh
Hongbin Zha
Hongbin Zha Peking University
Sang Woo Kim
Sang Woo Kim Pohang University of Science and Technology
Youdan Kim
Youdan Kim Seoul National University

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