World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
8994
World Ranking
6198
National Ranking
47

Changick 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 Changick 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: 273 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Changick 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 Changick 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Changick Kim is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research primarily focuses on computer science, with significant contributions in computer vision and pattern recognition, as well as artificial intelligence. They have a substantial record of publications in these fields, totaling over 210 works.

Their subfields of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Biomedical Engineering
  • Radiology, Nuclear Medicine and Imaging

Changick Kim's main research topics cover a diverse range of areas related to machine learning and imaging technology:

  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging

The scientist has published extensively in several academic venues, which reflect the impact and scope of their contributions:

  • arXiv (Cornell University)
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • SSRN Electronic Journal
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • The Journal of Korean Institute of Communications and Information Sciences

Some recent publications include:

  • Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization, 2022, International Journal of Computer Vision
  • Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Towards Good Practices for Missing Modality Robust Action Recognition, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction, 2020, arXiv (Cornell University)
  • Dual Back-Projection-Based Internal Learning for Blind Super-Resolution, 2020, IEEE Signal Processing Letters

Frequent collaborators in their research include Sangmin Woo, Sumin Lee, Junyoung Byun, Hyojun Go, and Seungju Cho. These coauthors have worked with Kim across multiple projects and publications, contributing to the breadth of topics mentioned.

Best Publications

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Fast and automatic video object segmentation and tracking for content-based applications

    Changick Kim;Jenq-Neng Hwang

  • Spatiotemporal sequence matching for efficient video copy detection

    Changick Kim;B. Vasudev

  • Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection

    Taekyung Kim;Minki Jeong;Seunghyeon Kim;Seokeon Choi

  • Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification

    Seokeon Choi;Sumin Lee;Youngeun Kim;Taekyung Kim

  • Segmenting Clustered Nuclei Using H-minima Transform-Based Marker Extraction and Contour Parameterization

    Chanho Jung;Changick Kim

  • Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation

    Jaehoon Choi;Taekyung Kim;Changick Kim

  • Content-based image copy detection

    Changick Kim

  • Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection

    Seunghyeon Kim;Jaehoon Choi;Taekyung Kim;Changick Kim

  • Unsupervised Segmentation of Overlapped Nuclei Using Bayesian Classification

    Chanho Jung;Changick Kim;Seoung Wan Chae;Sukjoong Oh

  • A New Approach for Overlay Text Detection and Extraction From Complex Video Scene

    Wonjun Kim;Changick Kim

  • Meta Batch-Instance Normalization for Generalizable Person Re-Identification

    Seokeon Choi;Taekyung Kim;Minki Jeong;Hyoungseob Park

  • Object-based video abstraction for video surveillance systems

    Changick Kim;Jenq-Neng Hwang

  • Adaptive determination of filter scales for edge detection

    H. Jeong;C.I. Kim

  • Reducing blocking and ringing artifacts in low-bit-rate coding

    Changick Kim

  • An integrated scheme for object-based video abstraction

    Changick Kim;Jenq-Neng Hwang

  • Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization

    Myung-Joon Kwon;Seung-Hun Nam;In-Jae Yu;Heung-Kyu Lee

  • Background Subtraction for Dynamic Texture Scenes Using Fuzzy Color Histograms

    Wonjun Kim;Changick Kim

  • Spatiotemporal Saliency Detection and Its Applications in Static and Dynamic Scenes

    Wonjun Kim;Chanho Jung;Changick Kim

  • Segmenting a low-depth-of-field image using morphological filters and region merging

    Changick Kim

  • A Unified Spectral-Domain Approach for Saliency Detection and Its Application to Automatic Object Segmentation

    Chanho Jung;Changick Kim

  • Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation

    Taekyung Kim;Changick Kim

Frequent Co-Authors

Jenq-Neng Hwang
Jenq-Neng Hwang University of Washington
Xiaojun Wu
Xiaojun Wu University of Science and Technology of China
Jitendra Malik
Jitendra Malik University of California, Berkeley
Amir Said
Amir Said Qualcomm (United States)
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Efstratios Gavves
Efstratios Gavves University of Amsterdam
Andrea Vedaldi
Andrea Vedaldi University of Oxford
Michael Felsberg
Michael Felsberg Linköping University
Shubham Tulsiani
Shubham Tulsiani Carnegie Mellon University
Richard Bowden
Richard Bowden University of Surrey

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