World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
85
Citations
64484
World Ranking
785
National Ranking
425

Baining Guo 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 Baining Guo 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: 286 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Baining Guo 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 Baining Guo 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: 85 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2011 - ACM Fellow For contributions to computer graphics.
  • 2010 - IEEE Fellow For contributions to surface appearance modeling and rendering in computer graphics
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Baining Guo is a researcher affiliated with Microsoft in the United States. Their work spans multiple aspects of decision sciences, with a focus on statistical methods and engineering applications.

The main fields of study for Baining Guo include:

  • Decision Sciences

Within this broader area, their subfields of specialization incorporate:

  • Statistics, Probability and Uncertainty
  • Statistics and Probability
  • Control and Systems Engineering
  • Management Science and Operations Research
  • General Health Professions

Baining Guo's research topics cover:

  • Advanced Statistical Process Monitoring
  • Fault Detection and Control Systems
  • Scientific Measurement and Uncertainty Evaluation
  • Advanced Statistical Methods and Models
  • Statistical Distribution Estimation and Applications
  • Optimal Experimental Design Methods
  • Probabilistic and Robust Engineering Design

Their recent publications demonstrate engagement with statistical quality control and interval estimation methodologies. Some of the recent papers include:

  • "Generalized confidence intervals of quantile-based process capability indices for inverse Gaussian distribution," 2022, Quality Technology & Quantitative Management
  • "Generalized interval estimation of process capability indices for the Birnbaum-Saunders distribution," 2022, Quality and Reliability Engineering International
  • "Design of Shewhart-type control charts with estimated parameter for the Rayleigh distribution using frequentist and Bayesian approaches," 2022, Quality Technology & Quantitative Management
  • "Constructing exact tolerance intervals for the exponential distribution based on record values," 2020, Quality and Reliability Engineering International
  • "Exact two-sided tolerance interval controlling tail proportions for sample variances," 2020, Quality and Reliability Engineering International

The venues in which Baining Guo most frequently publishes include:

  • Quality and Reliability Engineering International
  • Quality Technology & Quantitative Management
  • SSRN Electronic Journal
  • Quality Engineering
  • PLoS ONE

Baining Guo has worked with a number of frequent coauthors, such as:

  • Qiming Xia
  • Wei Wang
  • Yingying Sun
  • Pingye Gong
  • Jie Xuan

Their research contributions have been recognized by fellowships in professional organizations including:

  • ACM Fellow in 2011 for contributions to computer graphics
  • IEEE Fellow in 2010 for contributions to surface appearance modeling and rendering in computer graphics
  • Membership in The Canadian Academy of Engineering

Best Publications

  • Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows

    Ze Liu;Yutong Lin;Yue Cao;Han Hu

  • Swin Transformer V2: Scaling Up Capacity and Resolution

    Unknown

  • Real-time texture synthesis by patch-based sampling

    Lin Liang;Ce Liu;Ying-Qing Xu;Baining Guo

  • Face X-Ray for More General Face Forgery Detection

    Lingzhi Li;Jianmin Bao;Ting Zhang;Hao Yang

  • Vector Quantized Diffusion Model for Text-to-Image Synthesis

    Unknown

  • Learning Texture Transformer Network for Image Super-Resolution

    Fuzhi Yang;Huan Yang;Jianlong Fu;Hongtao Lu

  • Real-time KD-tree construction on graphics hardware

    Kun Zhou;Qiming Hou;Rui Wang;Baining Guo

  • Mesh editing with poisson-based gradient field manipulation

    Yizhou Yu;Kun Zhou;Dong Xu;Xiaohan Shi

  • Large mesh deformation using the volumetric graph Laplacian

    Kun Zhou;Jin Huang;John Snyder;Xinguo Liu

  • Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting

    Yanhong Zeng;Jianlong Fu;Hongyang Chao;Baining Guo

  • Synthesis of bidirectional texture functions on arbitrary surfaces

    Xin Tong;Jingdan Zhang;Ligang Liu;Xi Wang

  • Subspace gradient domain mesh deformation

    Jin Huang;Xiaohan Shi;Xinguo Liu;Kun Zhou

  • Dynamic player groups for interest management in multi-character virtual environments

    Bo Zhang;Baining Guo;Heung-Yeung Shum

  • StyleSwin: Transformer-based GAN for High-resolution Image Generation

    Unknown

  • Chaos Mosaic: Fast and Memory Efficient Texture Synthesis

    Baining Guo;Harry Shum;Ying-Qing Xu

  • Synthesis of progressively-variant textures on arbitrary surfaces

    Jingdan Zhang;Kun Zhou;Luiz Velho;Baining Guo

  • An interactive approach to semantic modeling of indoor scenes with an RGBD camera

    Tianjia Shao;Weiwei Xu;Kun Zhou;Jingdong Wang

  • RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion

    Unknown

  • View-dependent displacement mapping

    Lifeng Wang;Xi Wang;Xin Tong;Stephen Lin

  • Kinect Identity: Technology and Experience

    T Leyvand;C Meekhof;Yi-Chen Wei;Jian Sun

  • Data-Parallel Octrees for Surface Reconstruction

    Kun Zhou;Minmin Gong;Xin Huang;Baining Guo

  • Unsupervised Extraction of Video Highlights via Robust Recurrent Auto-Encoders

    Huan Yang;Baoyuan Wang;Stephen Lin;David Wipf

  • Precomputed shadow fields for dynamic scenes

    Kun Zhou;Yaohua Hu;Stephen Lin;Baining Guo

  • Geometry-driven photorealistic facial expression synthesis

    Qingshan Zhang;Zicheng Liu;Baining Guo;Harry Shum

Frequent Co-Authors

Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)
Kun Zhou
Kun Zhou Zhejiang University
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Xin Tong
Xin Tong Microsoft Research Asia (China)
John Snyder
John Snyder Microsoft (United States)
Ying-Qing Xu
Ying-Qing Xu Tsinghua University
Hujun Bao
Hujun Bao Zhejiang University
Zicheng Liu
Zicheng Liu Microsoft (United States)
Yizhou Yu
Yizhou Yu University of Hong Kong
Yang Liu
Yang Liu Microsoft Research Asia (China)

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