World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
9214
World Ranking
7513
National Ranking
66

Joonki Paik 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 Joonki Paik 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: 664 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Joonki Paik 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 Joonki Paik 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Joonki Paik is affiliated with Chung-Ang University in South Korea and contributes extensively to the fields of computer science and engineering. Their primary research interests lie in computer vision and pattern recognition, accounting for a significant portion of their work, along with aerospace engineering and artificial intelligence.

Their research spans various specialized topics, including:

  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Image Enhancement Techniques
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Advanced Image Processing Techniques
  • Infrared Target Detection Methodologies

Joonki Paik has published a number of recent papers, notably:

  • "Deep learning-based EEG analysis to classify normal, mild cognitive impairment, and dementia: Algorithms and dataset" (2023) in NeuroImage
  • "Region-Based Dehazing via Dual-Supervised Triple-Convolutional Network" (2021) in IEEE Transactions on Multimedia
  • "Fast and Robust Object Tracking Using Tracking Failure Detection in Kernelized Correlation Filter" (2020) in Applied Sciences
  • "Point Cloud Generation Using Deep Adversarial Local Features for Augmented and Mixed Reality Contents" (2022) in IEEE Transactions on Consumer Electronics
  • "Real-Time Surveillance System for Analyzing Abnormal Behavior of Pedestrians" (2021) in Applied Sciences

Their research has appeared consistently in notable publication venues, including:

  • IEEE Access
  • Scientific Reports
  • IEIE Transactions on Smart Processing and Computing
  • Sensors
  • arXiv (Cornell University)

Frequent collaborators of Joonki Paik include:

  • Hasil Park
  • Joongchol Shin
  • Heegwang Kim
  • Dasol Jeong
  • Dohun Kim

The breadth of Joonki Paik's work integrates methodologies from advanced neural networks and image processing to practical applications in surveillance and augmented reality, reflecting an interdisciplinary approach within both computer science and engineering domains.

Best Publications

  • Recent advances in visual and infrared face recognition: a review

    Seong G. Kong;Jingu Heo;Besma R. Abidi;Joonki Paik

  • Contrast enhancement system using spatially adaptive histogram equalization with temporal filtering

    Tae Keun Kim;Joon Ki Paik;Bong Soon Kang

  • Image restoration using a modified Hopfield network

    J.K. Paik;A.K. Katsaggelos

  • Adaptive contrast enhancement using gain-controllable clipped histogram equalization

    T. Kim;J. Paik

  • Low-light image enhancement using variational optimization-based retinex model

    Seonhee Park;Soohwan Yu;Byeongho Moon;Seungyong Ko

  • An adaptive motion decision system for digital image stabilizer based on edge pattern matching

    Joon ki Paik;Yong Chul Park;Dong Wook Kim

  • Normal vector voting: crease detection and curvature estimation on large, noisy meshes

    D. L. Page;Y. Sun;A. F. Koschan;J. Paik

  • Real-time video tracking using PTZ cameras

    Sangkyu Kang;Joon-Ki Paik;Andreas Koschan;Besma R. Abidi

  • Adaptive mode decision for H.264 encoder

    Y.-H. Kim;J.-W. Yoo;S.-W. Lee;J. Shin

  • Optical flow-based real-time object tracking using non-prior training active feature model

    Jeongho Shin;Sangjin Kim;Sangkyu Kang;Seong-Won Lee

  • Dual Autoencoder Network for Retinex-Based Low-Light Image Enhancement

    Seonhee Park;Soohwan Yu;Minseo Kim;Kwanwoo Park

  • Contrast Enhancement Using Dominant Brightness Level Analysis and Adaptive Intensity Transformation for Remote Sensing Images

    Eunsung Lee;Sangjin Kim;Wonseok Kang;Doochun Seo

  • Simple and efficient algorithm for part decomposition of 3-D triangulated models based on curvature analysis

    Y. Zhang;J. Paik;A. Koschan;M.A. Abidi

  • Image interpolation using adaptive fast B-spline filtering

    S.W. Lee;J.K. Paik

  • Color active shape models for tracking non-rigid objects

    Andreas Koschan;Sangkyu Kang;Joonki Paik;Besma Abidi

  • Low-light image enhancement using variational optimization-based Retinex model

    Seonhee Park;Byeongho Moon;Seungyong Ko;Soohwan Yu

  • Triangle mesh-based edge detection and its application to surface segmentation and adaptive surface smoothing

    Y. Sun;D.L. Page;J.K. Paik;A. Koschan

  • Noise-adaptive spatio-temporal filter for real-time noise removal in low light level images

    Seong-Won Lee;Vivek Maik;Jihoon Jang;Jeongho Shin

  • Simultaneous out-of-focus blur estimation and restoration for digital auto-focusing system

    Sang Ku Kim;Sang Rae Park;Joon Ki Paik

  • Digital focusing method and apparatus in image processing system

    Joon Ki Paik;Sang-ku Kim;Chul Ho Lee

Frequent Co-Authors

Mongi A. Abidi
Mongi A. Abidi University of Tennessee at Knoxville
Aggelos K. Katsaggelos
Aggelos K. Katsaggelos Northwestern University
Monson H. Hayes
Monson H. Hayes George Mason University
Andreas Koschan
Andreas Koschan University of Tennessee at Knoxville
Sanghoon Lee
Sanghoon Lee Yonsei University
Dong-Wook Kim
Dong-Wook Kim Ewha Womans University
Hyoung Joong Kim
Hyoung Joong Kim Korea University
Jechang Jeong
Jechang Jeong Hanyang University
Seong G. Kong
Seong G. Kong Sejong University

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