World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
10754
World Ranking
5087
National Ranking
689

Jingyi Yu 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 Jingyi Yu 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: 245 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Jingyi Yu 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 Jingyi Yu 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Jingyi Yu is affiliated with ShanghaiTech University in China. Their research primarily focuses on the fields of Computer Science and Engineering, with significant contributions in subfields such as Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Electrical and Electronic Engineering, and Artificial Intelligence.

The scientist's work spans multiple topics, including:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Human Pose and Action Recognition
  • Advanced Image Processing Techniques
  • Human Motion and Animation
  • Image Enhancement Techniques

Jingyi Yu has published extensively in a variety of venues, frequently contributing to the following publication platforms:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Among recent publications, key works include:

  • MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Structural basis for strychnine activation of human bitter taste receptor TAS2R46, 2022, Science
  • HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputs, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deep Coarse-to-Fine Dense Light Field Reconstruction With Flexible Sampling and Geometry-Aware Fusion, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

Jingyi Yu has collaborated frequently with several researchers, including Lan Xu, Qixuan Zhang, Minye Wu, Longwen Zhang, and Yingliang Zhang.

Best Publications

  • Saliency Detection on Light Field

    Nianyi Li;Jinwei Ye;Yu Ji;Haibin Ling

  • MVSNeRF: Fast Generalizable Radiance Field Reconstruction From Multi-View Stereo

    Anpei Chen;Zexiang Xu;Fuqiang Zhao;Xiaoshuai Zhang

  • Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging

    Ramesh Raskar;Kar-Han Tan;Rogerio Feris;Jingyi Yu

  • Salient Region Detection by UFO: Uniqueness, Focusness and Objectness

    Peng Jiang;Haibin Ling;Jingyi Yu;Jingliang Peng

  • Gaze Prediction in Dynamic 360° Immersive Videos

    Yanyu Xu;Yanbing Dong;Junru Wu;Zhengzhong Sun

  • Single-Image Vignetting Correction

    Yuanjie Zheng;S. Lin;C. Kambhamettu;Jingyi Yu

  • Image fusion for context enhancement and video surrealism

    Ramesh Raskar;Adrian Ilie;Jingyi Yu

  • General Linear Cameras

    Jingyi Yu;Jingyi Yu;Leonard McMillan

  • Spatial-Angular Interaction for Light Field Image Super-Resolution

    Yingqian Wang;Longguang Wang;Jungang Yang;Wei An

  • Line Assisted Light Field Triangulation and Stereo Matching

    Zhan Yu;Xinqing Guo;Haibing Ling;Andrew Lumsdaine

  • A hybrid camera for motion deblurring and depth map super-resolution

    Feng Li;Jingyi Yu;Jinxiang Chai

  • Light Field Stereo Matching Using Bilateral Statistics of Surface Cameras

    Can Chen;Haiting Lin;Zhan Yu;Sing Bing Kang

  • Detecting silhouette edges in images

    Ramesh Raskar;Jingyi Yu

  • Depth Recovery from Light Field Using Focal Stack Symmetry

    Haiting Lin;Can Chen;Sing Bing Kang;Jingyi Yu

  • Image fusion for context enhancement and video surrealism

    Ramesh Raskar;Adrian Ilie;Jingyi Yu

  • A weighted sparse coding framework for saliency detection

    Nianyi Li;Bilin Sun;Jingyi Yu

  • A new reconstruction filter for undersampled light fields

    J. Stewart;J. Yu;S. J. Gortler;L. McMillan

  • Editable free-viewpoint video using a layered neural representation

    Jiakai Zhang;Xinhang Liu;Xinyi Ye;Fuqiang Zhao

  • Importance filtering for image retargeting

    Yuanyuan Ding;Jing Xiao;Jingyi Yu

  • Blurred target tracking by Blur-driven Tracker

    Yi Wu;Haibin Ling;Jingyi Yu;Feng Li

  • Saliency Detection in 360\(^\circ \) Videos

    Ziheng Zhang;Yanyu Xu;Jingyi Yu;Shenghua Gao

Frequent Co-Authors

Leonard McMillan
Leonard McMillan University of North Carolina at Chapel Hill
Sing Bing Kang
Sing Bing Kang Zillow Group (United States)
Shenghua Gao
Shenghua Gao ShanghaiTech University
Haibin Ling
Haibin Ling Westlake University
Xiaogang Chen
Xiaogang Chen University of Manchester
Cathy H. Wu
Cathy H. Wu University of Delaware
Sam Kwong
Sam Kwong Lingnan University
Junhui Hou
Junhui Hou City University of Hong Kong
Chandra Kambhamettu
Chandra Kambhamettu University of Delaware

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