World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
12465
World Ranking
6362
National Ranking
2842

Stella X. 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 Stella X. 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: 161 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Stella X. 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 Stella X. 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Stella X. Yu is affiliated with the University of Michigan-Ann Arbor in the United States and conducts research primarily at the intersection of computer science and medicine. Their work spans a range of topics within computer vision, machine learning, and biomedical imaging.

The main fields of study for Stella X. Yu include:

  • Computer Science
  • Medicine

Their research is focused on several subfields, notably:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Biomedical Engineering
  • Biophysics

Stella X. Yu's work covers a spectrum of research topics, which include:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Multimodal Machine Learning Applications
  • Ocular Surface and Contact Lens

Their publication record includes multiple recent papers demonstrating applications of machine learning and computer vision in diverse areas:

  • Machine learning-based regional scale intelligent modeling of building information for natural hazard risk management (2020), published in Automation in Construction
  • Debiased Learning from Naturally Imbalanced Pseudo-Labels (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Rapid visual screening of soft-story buildings from street view images using deep learning classification (2020), published in Earthquake Engineering and Engineering Vibration
  • Quantifying Meibomian Gland Morphology Using Artificial Intelligence (2021), published in Optometry and Vision Science
  • Self-Supervised Feature Learning and Phenotyping for Assessing Age-Related Macular Degeneration Using Retinal Fundus Images (2021), published in Ophthalmology Retina

Frequent co-authors collaborating with Stella X. Yu include:

  • Xudong Wang
  • Jiayun Wang
  • Yunhui Guo
  • Zhihang Ren
  • Michael Lustig

Their publications frequently appear in the following venues:

  • arXiv (Cornell University)
  • Journal of Vision
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition
  • Nature Machine Intelligence

Best Publications

  • Unsupervised Feature Learning via Non-parametric Instance Discrimination

    Zhirong Wu;Yuanjun Xiong;Stella X. Yu;Dahua Lin

  • Large-Scale Long-Tailed Recognition in an Open World

    Ziwei Liu;Zhongqi Miao;Xiaohang Zhan;Jiayun Wang

  • Orthogonal Convolutional Neural Networks

    Jiayun Wang;Yubei Chen;Rudrasis Chakraborty;Stella X. Yu

  • Segmentation given partial grouping constraints

    S.X. Yu;Jianbo Shi

  • Adaptive Affinity Fields for Semantic Segmentation

    Tsung-Wei Ke;Jyh-Jing Hwang;Ziwei Liu;Stella X. Yu

  • Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories

    Jian Shi;Yue Dong;Hao Su;Stella X. Yu

  • Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

    Xudong Wang;Long Lian;Zhongqi Miao;Ziwei Liu

  • Cut and Learn for Unsupervised Object Detection and Instance Segmentation

    Unknown

  • Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

    Zhirong Wu;Yuanjun Xiong;Stella Yu;Dahua Lin

  • Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression

    Takuya Narihira;Michael Maire;Stella X. Yu

  • FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences

    Tinghui Zhou;Yong Jae Lee;Stella X. Yu;Alexei A. Efros

  • Better than real: Complex-valued neural nets for MRI fingerprinting

    Patrick Virtue;Stella X. Yu;Michael Lustig

  • Convolutional Random Walk Networks for Semantic Image Segmentation

    Gedas Bertasius;Lorenzo Torresani;Stella X. Yu;Jianbo Shi

  • Concurrent Object Recognition and Segmentation by Graph Partitioning

    Stella X. Yu;Ralph Gross;Jianbo Shi

  • Improving Generalization via Scalable Neighborhood Component Analysis

    Zhirong Wu;Alexei A. Efros;Stella X. Yu

  • Adaptive Affinity Field for Semantic Segmentation.

    Tsung-Wei Ke;Jyh-Jing Hwang;Ziwei Liu;Stella X. Yu

  • SegSort: Segmentation by Discriminative Sorting of Segments

    Jyh-Jing Hwang;Stella Yu;Jianbo Shi;Maxwell Collins

  • Insights and approaches using deep learning to classify wildlife.

    Zhongqi Miao;Kaitlyn M. Gaynor;Jiayun Wang;Ziwei Liu

  • Object-specific figure-ground segregation

    S.U. Yu;Jianbo Shi

  • Debiased Learning from Naturally Imbalanced Pseudo-Labels

    Unknown

  • Grouping with Bias

    Stella X. Yu;Jianbo Shi

  • Open Compound Domain Adaptation

    Ziwei Liu;Zhongqi Miao;Xingang Pan;Xiaohang Zhan

Frequent Co-Authors

Jianbo Shi
Jianbo Shi University of Pennsylvania
Ziwei Liu
Ziwei Liu Nanyang Technological University
Michael Maire
Michael Maire University of Chicago
Kincho H. Law
Kincho H. Law Stanford University
Michael Lustig
Michael Lustig University of California, Berkeley
Wayne M. Getz
Wayne M. Getz University of California, Berkeley
Ertugrul Taciroglu
Ertugrul Taciroglu University of California, Los Angeles
David Whitney
David Whitney University of California, Berkeley
Boqing Gong
Boqing Gong Google (United States)
Dahua Lin
Dahua Lin Chinese University of Hong Kong

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