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Yo-Sung Ho

D-Index & Metrics

Computer Science

D-Index
37
Citations
5730
World Ranking
10767
National Ranking
125

Yo-Sung Ho 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 Yo-Sung Ho 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: 424 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Yo-Sung Ho 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 Yo-Sung Ho 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Yo-Sung Ho is affiliated with the Gwangju Institute of Science and Technology in South Korea. Their research primarily falls within the field of Computer Science, with a strong focus on Computer Vision and Pattern Recognition. Their body of work spans 115 publications, reflecting specialization in areas such as Image Enhancement Techniques, Visual Attention and Saliency Detection, and Image and Video Quality Assessment.

The scientist's work addresses advanced topics including:

  • Image Enhancement Techniques
  • Visual Attention and Saliency Detection
  • Image and Video Quality Assessment
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Advanced Image Fusion Techniques
  • Optical measurement and interference techniques

Their frequent coauthors include:

  • Feng Shao (30 joint publications)
  • Qiuping Jiang (27 joint publications)
  • Xiongli Chai (19 joint publications)
  • Hangwei Chen (16 joint publications)
  • Gangyi Jiang (14 joint publications)

Yo-Sung Ho has contributed extensively to several notable publication venues, including:

  • IEEE Transactions on Circuits and Systems for Video Technology (12 publications)
  • IEEE Transactions on Multimedia (12 publications)
  • IEEE Transactions on Instrumentation and Measurement (7 publications)
  • IEEE Transactions on Image Processing (2 publications)
  • Information Fusion (2 publications)

Among the recent publications associated with Yo-Sung Ho are:

  • "Cross-Modality Double Bidirectional Interaction and Fusion Network for RGB-T Salient Object Detection" (2023) published in IEEE Transactions on Circuits and Systems for Video Technology
  • "Modality-Induced Transfer-Fusion Network for RGB-D and RGB-T Salient Object Detection" (2022) published in IEEE Transactions on Circuits and Systems for Video Technology
  • "CGMDRNet: Cross-Guided Modality Difference Reduction Network for RGB-T Salient Object Detection" (2022) published in IEEE Transactions on Circuits and Systems for Video Technology
  • "Blind Image Quality Measurement by Exploiting High-Order Statistics With Deep Dictionary Encoding Network" (2020) published in IEEE Transactions on Instrumentation and Measurement
  • "Stitched Wide Field of View Light Field Image Quality Assessment: Benchmark Database and Objective Metric" (2023) published in IEEE Transactions on Multimedia

The research extensively covers topics related to saliency detection involving multiple imaging modalities such as RGB-Thermal and RGB-Depth data fusion. The work also explores techniques in image quality measurement and light field image quality assessment, reflecting expertise in both classical and evolving imaging technologies.

Best Publications

  • Hole filling method using depth based in-painting for view synthesis in free viewpoint television and 3-D video

    Kwan-Jung Oh;Sehoon Yea;Yo-Sung Ho

  • A VOP generation tool: automatic segmentation of moving objects in image sequences based on spatio-temporal information

    Munchurl Kim;Jae Gark Choi;Daehee Kim;Hyung Lee

  • Reversiblee Image Authentication Based on Watermarking

    Sang-Kwang Lee;Young-Ho Suh;Yo-Sung Ho

  • Method and apparatus for generating multi-viewpoint depth map, method for generating disparity of multi-viewpoint image

    Yo-Sung Ho;Eun-Kyung Lee;Sung-Yeol Kim

  • Content-based event retrieval using semantic scene interpretation for automated traffic surveillance

    Young-Kee Jung;Kyu-Won Lee;Yo-Sung Ho

  • Automatic liver segmentation for volume measurement in CT Images

    Unknown

  • Apparatus and method of depth coding using prediction mode

    Il Soon Lim;Yo Sung Ho;Jae Joon Lee;Min Koo Kang

  • Unified No-Reference Quality Assessment of Singly and Multiply Distorted Stereoscopic Images

    Qiuping Jiang;Feng Shao;Wei Gao;Zhuo Chen

  • Device and method for estimating depth map, and method for generating intermediate image and method for encoding multi-view video using the same

    Yo Sung Ho;Sang Beom Lee;Kwang Jung Oh

  • Depth Reconstruction Filter and Down/Up Sampling for Depth Coding in 3-D Video

    Kwan-Jung Oh;Sehoon Yea;A. Vetro;Yo-Sung Ho

  • Asymmetric Coding of Multi-View Video Plus Depth Based 3-D Video for View Rendering

    Feng Shao;Gangyi Jiang;Mei Yu;Ken Chen

  • Depth Coding Using a Boundary Reconstruction Filter for 3-D Video Systems

    Kwan-Jung Oh;A Vetro;Yo-Sung Ho

  • H.264-Based Depth Map Sequence Coding Using Motion Information of Corresponding Texture Video

    Unknown

  • Classified transform coding of images using vector quantization

    Y.-S. Ho;A. Gersho

  • CGMDRNet: Cross-Guided Modality Difference Reduction Network for RGB-T Salient Object Detection

    Unknown

  • Cross-Modality Double Bidirectional Interaction and Fusion Network for RGB-T Salient Object Detection

    Unknown

  • Modality-Induced Transfer-Fusion Network for RGB-D and RGB-T Salient Object Detection

    Unknown

  • Bit allocation for MPEG-4 video coding with spatio-temporal tradeoffs

    Jeong-Woo Lee;A. Vetro;Yao Wang;Yo-Sung Ho

  • Traffic parameter extraction using video-based vehicle tracking

    Unknown

  • Variable-rate multi-stage vector quantization for image coding

    Y.-S. Ho;A. Gersho

  • Overview of Multi-view Video Coding

    Unknown

  • A Framework for Haptic Broadcasting

    Jongeun Cha;Yo-Sung Ho;Yeongmi Kim;Jeha Ryu

  • Virtual view synthesis method and self‐evaluation metrics for free viewpoint television and 3D video

    Kwan‐Jung Oh;Sehoon Yea;Anthony Vetro;Yo‐Sung Ho

  • An efficient image rectification method for parallel multi-camera arrangement

    Unknown

  • Advances in Multimedia Information Processing - PCM 2005

    Yo-Sung Ho;Hyoung Joong Kim

  • Motion-compensated compression of 3D animation models

    Jeong Hwan Ahn;Chang Su Kim;C. C. Jay Kuo;Yo Sung Ho

  • Multiple Color and Depth Video Coding Using a Hierarchical Representation

    Unknown

  • An Efficient Rectification Algorithm for Multi-View Images in Parallel Camera Array

    Unknown

  • Blind Image Quality Measurement by Exploiting High-Order Statistics With Deep Dictionary Encoding Network

    Qiuping Jiang;Wei Gao;Shiqi Wang;Guanghui Yue

  • Automated Quality Assessment of Fundus Images via Analysis of Illumination, Naturalness and Structure

    Feng Shao;Yan Yang;Qiuping Jiang;Gangyi Jiang

  • Method of computing disparity, method of synthesizing interpolation view, method of encoding and decoding multi-view video using the same, and encoder and decoder using the same

    Yo Sung Ho;Cheon Lee;Kwan Jung Oh;Byeong Ho Choi

Frequent Co-Authors

Feng Shao
Feng Shao Ningbo University
Hyoung Joong Kim
Hyoung Joong Kim Korea University
Sam Kwong
Sam Kwong Lingnan University
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
Chang-Su Kim
Chang-Su Kim Korea University
Woontack Woo
Woontack Woo Korea Advanced Institute of Science and Technology
Eun-Soo Kim
Eun-Soo Kim Kwangwoon University
Ke Gu
Ke Gu Beijing University of Technology
Yao Wang
Yao Wang New York University
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California

External Links

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Best Scientists Citing Yo-Sung Ho

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Publications: 16

Ce Zhu

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Publications: 14

Gene Cheung

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York University

Publications: 13

Yao Zhao

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Beijing Jiaotong University

Publications: 13

Sam Kwong

Sam Kwong

Lingnan University

Publications: 11

Pascal Frossard

Pascal Frossard

École Polytechnique Fédérale de Lausanne

Publications: 11

Weisi Lin

Weisi Lin

Nanyang Technological University

Publications: 10

Miska Hannuksela

Miska Hannuksela

Nokia (Finland)

Publications: 10

Shao-Yi Chien

Shao-Yi Chien

National Taiwan University

Publications: 9

Morteza Gharib

Morteza Gharib

California Institute of Technology

Publications: 9

Liang-Gee Chen

Liang-Gee Chen

National Taiwan University

Publications: 9

Anthony Vetro

Anthony Vetro

Mitsubishi Electric (United States)

Publications: 8

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Anastasios Doulamis

National Technical University of Athens

Publications: 8

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