World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
9225
World Ranking
9572
National Ranking
100

Nojun Kwak 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 Nojun Kwak 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: 293 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.

Nojun Kwak 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 Nojun Kwak 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Nojun Kwak is affiliated with Seoul National University in South Korea and has extensively contributed to the field of computer science, particularly in computer vision and artificial intelligence. Their research output demonstrates a focus on advanced neural network applications, domain adaptation, and multimodal machine learning applications.

The scientist's work covers multiple subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Computational Mechanics
  • Human-Computer Interaction

Main topics addressed in their research include:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Advanced Vision and Imaging
  • Human Pose and Action Recognition
  • Advanced Image Processing Techniques

Nojun Kwak has published in various reputable venues. Frequent publication venues are:

  • arXiv (Cornell University)
  • IEEE Access
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Sensors

Notable recent papers include:

  • "Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension" (2021), Clinical Journal of the American Society of Nephrology
  • "Feature-map-level Online Adversarial Knowledge Distillation" (2020), arXiv (Cornell University)
  • "MatteFormer: Transformer-Based Image Matting via Prior-Tokens" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Part-Aware Data Augmentation for 3D Object Detection in Point Cloud" (2021), 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks" (2020), Sensors

Frequent co-authors who have collaborated on multiple projects with Nojun Kwak include:

  • KiYoon Yoo
  • Chaerin Kong
  • Inseop Chung
  • Jayeon Yoo
  • Seonguk Park

Best Publications

  • Input feature selection for classification problems

    N. Kwak;Chong-Ho Choi

  • Principal Component Analysis Based on L1-Norm Maximization

    N. Kwak

  • Input feature selection by mutual information based on Parzen window

    N. Kwak;Chong-Ho Choi

  • A Comprehensive Overhaul of Feature Distillation

    Byeongho Heo;Jeesoo Kim;Sangdoo Yun;Hyojin Park

  • Enhancement of SSD by concatenating feature maps for object detection

    Jisoo Jeong;Hyojin Park;Nojun Kwak

  • Paraphrasing Complex Network: Network Compression via Factor Transfer

    Jangho Kim;Seonguk Park;Nojun Kwak

  • Consistency-based Semi-supervised Learning for Object detection

    Jisoo Jeong;Seungeui Lee;Jeesoo Kim;Nojun Kwak

  • Feature extraction for classification problems and its application to face recognition

    Nojun Kwak

  • Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information

    Seonhoon Kim;Inho Kang;Nojun Kwak

  • LSQ+: Improving low-bit quantization through learnable offsets and better initialization

    Yash Bhalgat;Jinwon Lee;Markus Nagel;Tijmen Blankevoort

  • Analysis on the Dropout Effect in Convolutional Neural Networks

    Sungheon Park;Nojun Kwak

  • 3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information

    Sungheon Park;Jihye Hwang;Nojun Kwak

  • Motion Feature Network: Fixed Motion Filter for Action Recognition

    Myunggi Lee;Seungeui Lee;Sung Joon Son;Gyutae Park

  • Method and apparatus for discontinuous reception of connected terminal in a mobile communication system

    Soeng-Hun Kim;No-Jun Kwak;Gert Jan Van Lieshout;Himke Van Der Velde

  • Principal Component Analysis by $L_{p}$ -Norm Maximization

    Nojun Kwak

  • Verfahren und Vorrichtung zum Melden einer Inter-Frequenzmessung unter Verwendung einer RACH-Nachricht in einem Kommunikationssystem

    Kyeong-In Jeong;No-Jun Kwak;Himke Van Dervelde;Gert Jan Van Lieshout

  • MatteFormer: Transformer-Based Image Matting via Prior-Tokens

    Unknown

  • Method of efficiently transmitting control information for multimedia broadcast/multicast service

    No-jun Kwak;Kook-Heui Lee;Sung-Ho Choi;Eun-Jung Kim

  • Feature Fusion for Online Mutual Knowledge Distillation

    Jangho Kim;Minsung Hyun;Inseop Chung;Nojun Kwak

  • Handover method and apparatus between different systems

    No-Jun Kwak;Sung-Ho Hwanggolmaeul danji Apt. Choi;Soeng-Hun Cheongmyeongm. danji Kim;Kyeong-In Daewoo Puregio Apt. Jeong

  • Method and apparatus for supporting communication service of idle user terminal located in common routing area in a mobile communication system

    Eun-Hui Bae;Sung-Ho Choi;O-Sok Song;No-jun Kwak

  • Paraphrasing Complex Network: Network Compression via Factor Transfer

    Jangho Kim;SeoungUK Park;Nojun Kwak

  • Ultrasound image analysis using deep learning algorithm for the diagnosis of thyroid nodules.

    Junho Song;Young Jun Chai;Hiroo Masuoka;Sun Won Park

  • Deep learning model for real-time prediction of intradialytic hypotension

    Hojun Lee;Donghwan Yun;Jayeon Yoo;Kiyoon Yoo

  • Generalization of linear discriminant analysis using Lp-norm

    Jae Hyun Oh;Nojun Kwak

  • Feature-map-level Online Adversarial Knowledge Distillation.

    Inseop Chung;SeongUk Park;Jangho Kim;Nojun Kwak

Frequent Co-Authors

Kook-Heui Lee
Kook-Heui Lee Samsung (South Korea)
Gert Jan Van Lieshout
Gert Jan Van Lieshout Samsung (South Korea)
Sangdoo Yun
Sangdoo Yun Naver (South Korea)
Chong-Ho Choi
Chong-Ho Choi Seoul National University
Osok Song
Osok Song Qualcomm (United States)
Heung Nam Han
Heung Nam Han Seoul National University
Kyeong-In Jeong
Kyeong-In Jeong Samsung (South Korea)
sungho choi
sungho choi Samsung (South Korea)
Yong-Jun Kwak
Yong-Jun Kwak Intel (United States)
Soeng-Hun Kim
Soeng-Hun Kim Samsung (South Korea)

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