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Jechang Jeong

Jechang Jeong

Jechang Jeong 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 Jechang Jeong 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+

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

Jechang Jeong 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 Jechang Jeong 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+

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

Overview

Jechang Jeong is affiliated with Hanyang University in South Korea and has contributed extensively to research in the fields of Computer Science and Engineering.

The scientist's work is concentrated in several subfields, most notably:

  • Computer Vision and Pattern Recognition
  • Media Technology
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Signal Processing

The main research topics covered by their publications include:

  • Image and Signal Denoising Methods
  • Advanced Image Processing Techniques
  • Error Correcting Code Techniques
  • Advanced Image Fusion Techniques
  • Image Processing Techniques and Applications
  • Advanced Wireless Communication Techniques
  • Blind Source Separation Techniques

Jechang Jeong has published multiple scientific papers in various peer-reviewed venues. Some recent papers are:

  • "Despeckling Algorithm for Removing Speckle Noise from Ultrasound Images" (2020), published in Symmetry
  • "Fast Soft Decision Decoding Algorithm for Linear Block Codes Using Permuted Generator Matrices" (2021), published in IEEE Communications Letters
  • "Novel blind interleaver parameters estimation based on Hamming weight distribution of linear codes" (2021), published in Digital Signal Processing
  • "Multi-Color Space Network for Salient Object Detection" (2022), published in Sensors
  • "Blind Interleaver Parameters Estimation Using Kolmogorov-Smirnov Test" (2021), published in Sensors

The scientist frequently publishes in the following venues:

  • Sensors
  • Electronics
  • arXiv (Cornell University)
  • Symmetry
  • IEEE Communications Letters

Collaborations play a substantial role in their research output. Frequent co-authors include:

  • Changryoul Choi
  • Seungwoo Wee
  • Kyungjun Lee
  • Jeonghwan Heo
  • Radu Timofte

Best Publications

  • Direction-oriented interpolation and its application to de-interlacing

    Hoon Yoo;Jechang Jeong

  • Deep Iterative Down-Up CNN for Image Denoising

    Songhyun Yu;Bumjun Park;Jechang Jeong

  • Fast motion estimation with modified diamond search for variable motion block sizes

    Woong Il Choi;Byeungwoo Jeon;Jechang Jeong

  • Novel Intra Deinterlacing Algorithm Using Content Adaptive Interpolation

    Wonki Kim;Soonjong Jin;Jechang Jeong

  • Densely Connected Hierarchical Network for Image Denoising

    Bumjun Park;Songhyun Yu;Jechang Jeong

  • Blocking artifacts reduction in image compression with block boundary discontinuity criterion

    Byeungwoo Jeon;Jechang Jeong

  • NTIRE 2019 Challenge on Real Image Denoising: Methods and Results

    Abdelrahman Abdelhamed;Radu Timofte;Michael S. Brown;Songhyun Yu

  • Fine directional de-interlacing algorithm using modified Sobel operation

    Soonjong Jin;Wonki Kim;Jechang Jeong

  • Adaptive Huffman coding of 2-D DCT coefficients for image sequence compression

    Jechang Jeong;Jae Moon Jo

  • Rough sets attributes reduction based expert system in interlaced video sequences

    G. Jeon;Donghyung Kim;Jechang Jeong

  • Concept of Linguistic Variable-Based Fuzzy Ensemble Approach: Application to Interlaced HDTV Sequences

    Gwanggil Jeon;M. Anisetti;Joohyun Lee;V. Bellandi

  • Speckle Noise Reduction Technique for SAR Images Using Statistical Characteristics of Speckle Noise and Discrete Wavelet Transform

    Hyunho Choi;Jechang Jeong

  • Designing of a type-2 fuzzy logic filter for improving edge-preserving restoration of interlaced-to-progressive conversion

    Gwanggil Jeon;Marco Anisetti;Valerio Bellandi;Ernesto Damiani

  • Huffman coding of DCT coefficients using dynamic codeword assignment and adaptive codebook selection

    Byeungwoo Jeon;Juha Park;Jechang Jeong

  • NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

    Abdelrahman Abdelhamed;Mahmoud Afifi;Radu Timofte;Michael S. Brown

  • Fine directional interpolation for spatial error concealment

    Wonki Kim;Jasung Koo;Jechang Jeong

  • Despeckling Images Using a Preprocessing Filter and Discrete Wavelet Transform-Based Noise Reduction Techniques

    Hyunho Choi;Jechang Jeong

  • Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing

    Gwanggil Jeon;Marco Anisetti;Donghyung Kim;Valerio Bellandi

  • Voting-Based Directional Interpolation Method and Its Application to Still Color Image Demosaicking

    Xiangdong Chen;Gwanggil Jeon;Jechang Jeong

  • Multidirectional Weighted Interpolation and Refinement Method for Bayer Pattern CFA Demosaicking

    Xiangdong Chen;Liwen He;Gwanggil Jeon;Jechang Jeong

Frequent Co-Authors

Gwanggil Jeon
Gwanggil Jeon Incheon National University
Ernesto Damiani
Ernesto Damiani Khalifa University
Byeungwoo Jeon
Byeungwoo Jeon Sungkyunkwan University
Radu Timofte
Radu Timofte University of Wurzburg
Licheng Jiao
Licheng Jiao Xidian University
Anand Paul
Anand Paul Kyungpook National University
Kook-Heui Lee
Kook-Heui Lee Samsung (South Korea)
Guangming Shi
Guangming Shi Xidian University
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Ales Leonardis
Ales Leonardis University of Birmingham

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