World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
4229
World Ranking
11816
National Ranking
1468

Jingyu Yang 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 Jingyu Yang 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: 145 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Jingyu Yang 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 Jingyu Yang 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Jingyu Yang is affiliated with Tianjin University in China and focuses on research primarily within computer science and engineering. Their research contributions span several subfields, including computer vision and pattern recognition, media technology, biomedical engineering, artificial intelligence, and aerospace engineering.

The scientist's work addresses topics related to advanced vision and imaging, advanced image processing techniques, image enhancement techniques, image processing techniques and applications, image and signal denoising methods, remote-sensing image classification, and advanced image fusion techniques.

Jingyu Yang has published numerous papers, with recent works including:

  • CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • PMBANet: Progressive Multi-Branch Aggregation Network for Scene Depth Super-Resolution, 2020, IEEE Transactions on Image Processing
  • RSDehazeNet: Dehazing Network With Channel Refinement for Multispectral Remote Sensing Images, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Intra-Inter View Interaction Network for Light Field Image Super-Resolution, 2021, IEEE Transactions on Multimedia
  • Sign Language/Gesture Recognition Based on Cumulative Distribution Density Features Using UWB Radar, 2021, IEEE Transactions on Instrumentation and Measurement

Their frequent co-authors include Huanjing Yue, Kun Li, Yu-Kun Lai, Gaosheng Liu, and Xin Liu.

Jingyu Yang has contributed extensively to various publication venues, with a significant number of works appearing in:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Multimedia
  • Academy of Management Proceedings
  • IEEE Transactions on Geoscience and Remote Sensing

Their substantial contributions to research in image processing and remote sensing reflect an ongoing engagement with topics related to both theoretical development and practical applications within these domains.

Best Publications

  • Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model

    Jingyu Yang;Xinchen Ye;Kun Li;Chunping Hou

  • CDnet: CNN-Based Cloud Detection for Remote Sensing Imagery

    Jingyu Yang;Jianhua Guo;Huanjing Yue;Zhiheng Liu

  • Landmark Image Super-Resolution by Retrieving Web Images

    Huanjing Yue;Xiaoyan Sun;Jingyu Yang;Feng Wu

  • PISE: Person Image Synthesis and Editing with Decoupled GAN

    Jinsong Zhang;Kun Li;Yu-Kun Lai;Jingyu Yang

  • Contrast Enhancement Based on Intrinsic Image Decomposition

    Huanjing Yue;Jingyu Yang;Xiaoyan Sun;Feng Wu

  • Cloud-Based Image Coding for Mobile Devices—Toward Thousands to One Compression

    Huanjing Yue;Xiaoyan Sun;Jingyu Yang;Feng Wu

  • Foreground–Background Separation From Video Clips via Motion-Assisted Matrix Restoration

    Xinchen Ye;Jingyu Yang;Xin Sun;Kun Li

  • Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes

    Huanjing Yue;Cong Cao;Lei Liao;Ronghe Chu

  • CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence

    Jianhua Guo;Jingyu Yang;Huanjing Yue;Hai Tan

  • Image Denoising by Exploring External and Internal Correlations

    Huanjing Yue;Xiaoyan Sun;Jingyu Yang;Feng Wu

  • PMBANet: Progressive Multi-Branch Aggregation Network for Scene Depth Super-Resolution

    Xinchen Ye;Baoli Sun;Zhihui Wang;Jingyu Yang

  • Image Coding Using Dual-Tree Discrete Wavelet Transform

    Jingyu Yang;Yao Wang;Wenli Xu;Qionghai Dai

  • Polarimetric image recovery in turbid media employing circularly polarized light

    Haofeng Hu;Lin Zhao;Xiaobo Li;Hui Wang

  • Depth recovery using an adaptive color-guided auto-regressive model

    Jingyu Yang;Xinchen Ye;Kun Li;Chunping Hou

  • RSDehazeNet: Dehazing Network With Channel Refinement for Multispectral Remote Sensing Images

    Jianhua Guo;Jingyu Yang;Huanjing Yue;Hai Tan

  • Transferred deep learning based waveform recognition for cognitive passive radar

    Qing Wang;Panfei Du;Jingyu Yang;Guohua Wang

  • Image and Video Denoising Using Adaptive Dual-Tree Discrete Wavelet Packets

    Jingyu Yang;Yao Wang;Wenli Xu;Qionghai Dai

  • Sign Language/Gesture Recognition Based on Cumulative Distribution Density Features Using UWB Radar

    Beichen Li;Jingyu Yang;Yang Yang;Chen Li

  • Ways to sparse representation: An overview

    JingYu Yang;YiGang Peng;WenLi Xu;QiongHai Dai

  • Learning-based denoising for polarimetric images

    Xiaobo Li;Haiyu Li;Yang Lin;Jianhua Guo

Frequent Co-Authors

Chunping Hou
Chunping Hou Tianjin University
Yu-Kun Lai
Yu-Kun Lai Cardiff University
Feng Wu
Feng Wu University of Science and Technology of China
Qionghai Dai
Qionghai Dai Tsinghua University
Xiaoyan Sun
Xiaoyan Sun University of Science and Technology of China
Yao Wang
Yao Wang New York University
Jianmin Jiang
Jianmin Jiang Shenzhen University
Wenjun Zeng
Wenjun Zeng Microsoft (United States)
Yebin Liu
Yebin Liu Tsinghua University
Cuiling Lan
Cuiling Lan Microsoft (United States)

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