World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
19493
World Ranking
6652
National Ranking
56

Seungjin Choi 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 Seungjin Choi 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: 290 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Seungjin Choi 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 Seungjin Choi 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Seungjin Choi is affiliated with Pohang University of Science and Technology in South Korea, specializing in computer science with a focus on artificial intelligence and related subfields. Their research portfolio includes work in cognitive neuroscience, computational theory and mathematics, signal processing, and automotive engineering.

The primary themes of Choi's research encompass Gaussian processes and Bayesian inference, advanced multi-objective optimization algorithms, EEG and brain-computer interfaces, blind source separation techniques, neural dynamics and brain function, autonomous vehicle technology and safety, and remote sensing and LiDAR applications.

Recent publications authored or coauthored by Choi include:

  • Point Cloud-Based Lane Detection for Optimal Local Path Planning, 2022, 2022 International Conference on Electronics, Information, and Communication (ICEIC)
  • Probabilistic Models for Common Spatial Patterns: Parameter-Expanded EM and Variational Bayes, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization, 2022, arXiv (Cornell University)
  • Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes, 2020, arXiv (Cornell University)
  • 50 Patient Characteristics and Outcomes from a Pulmonary Nodule Surveillance Service, 2024, Lung Cancer

Seungjin Choi frequently collaborates with coauthors Jungtaek Kim, Hyohyeong Kang, Dohun Kim, Sanghyun Park, and Joonki Paik. Collaboration patterns show repeated partnerships especially with Jungtaek Kim and Hyohyeong Kang.

The venues where Choi's work has appeared include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 International Conference on Electronics, Information, and Communication (ICEIC)
  • Lung Cancer
  • ACS Omega

Best Publications

  • Algorithms for orthogonal nonnegative matrix factorization

    Seungjin Choi

  • Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

    Juho Lee;Yoonho Lee;Jungtaek Kim;Adam R. Kosiorek

  • Flexible Independent Component Analysis

    Seungjin Choi;Andrzej Cichocki;Shun-Ichi Amari

  • Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors

    Sojeong Ha;Seungjin Choi

  • Nonnegative Tucker Decomposition

    Yong-Deok Kim;Seungjin Choi

  • Composite Common Spatial Pattern for Subject-to-Subject Transfer

    Hyohyeong Kang;Yunjun Nam;Seungjin Choi

  • Semi-Supervised Nonnegative Matrix Factorization

    Hyekyoung Lee;Jiho Yoo;Seungjin Choi

  • Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace

    Yoonho Lee;Seungjin Choi

  • Robust kernel Isomap

    Heeyoul Choi;Seungjin Choi

  • Multi-modal Convolutional Neural Networks for Activity Recognition

    Sojeong Ha;Jeong-Min Yun;Seungjin Choi

  • Non-negative matrix factorization with α-divergence

    Andrzej Cichocki;Hyekyoung Lee;Yong-Deok Kim;Seungjin Choi

  • Blind separation of nonstationary sources in noisy mixtures

    S. Choi;A. Cichocki

  • PCA+HMM+SVM for EEG pattern classification

    Hyekyung Lee;Seungjin Choi

  • Noninvasive BCIs: Multiway Signal-Processing Array Decompositions

    A. Cichocki;Y. Washizawa;T. Rutkowski;H. Bakardjian

  • Orthogonal nonnegative matrix tri-factorization for co-clustering: Multiplicative updates on Stiefel manifolds

    Jiho Yoo;Seungjin Choi

  • Two-Dimensional Canonical Correlation Analysis

    Sun Ho Lee;Seungjin Choi

  • A hybrid NIRS-EEG system for self-paced brain computer interface with online motor imagery

    Bonkon Koo;Hwan-Gon Lee;Yunjun Nam;Hyohyeong Kang

  • Second Order Nonstationary Source Separation

    Seungjin Choi;Andrzej Cichocki;Adel Beloucharni

  • Nonnegative Tensor Factorization for Continuous EEG Classification

    Hye-Kyoung Lee;Yong-Deok Kim;Andrzej Cichocki;Seung-Jin Choi

  • Skin Detection -a Short Tutorial

    John Daugman;Stephanie Schuckers;Karthik Nandakumar;Ryan N. Rakvic

Frequent Co-Authors

Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Shun-ichi Amari
Shun-ichi Amari RIKEN Center for Brain Science
Dong Soo Lee
Dong Soo Lee Seoul National University
Lei Zhang
Lei Zhang International Digital Economy Academy
Yee Whye Teh
Yee Whye Teh University of Oxford
Zoubin Ghahramani
Zoubin Ghahramani University of Cambridge
Daehee Hwang
Daehee Hwang Seoul National University
Seungmoon Choi
Seungmoon Choi Pohang University of Science and Technology
Bohyung Han
Bohyung Han Seoul National University

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Related Online Degrees & Career Pathways

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