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Computer Science
China
2025

D-Index & Metrics

Computer Science

D-Index
87
Citations
68816
World Ranking
698
National Ranking
105

Stephen Lin 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 Stephen Lin 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: 241 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Stephen Lin 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 Stephen Lin 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: 87 D-Index — 95th percentile

95% 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

  • 2025 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Stephen Lin is affiliated with Microsoft Research Asia (China) and works across interdisciplinary domains combining computer science and medicine. Their research focuses heavily on topics related to computer vision, medical imaging, and disease mechanisms.

The main fields of study for Stephen Lin include Computer Science and Medicine. Within these areas, their subfields of specialization span:

  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Immunology and Allergy
  • Pulmonary and Respiratory Medicine

Lin's primary research topics cover:

  • Cell Adhesion Molecules Research
  • Human Pose and Action Recognition
  • 3D Shape Modeling and Analysis
  • 3D Surveying and Cultural Heritage
  • Prostate Cancer Treatment and Research
  • Extracellular Vesicles in Disease
  • Medical Imaging Techniques and Applications

Key recent papers authored or co-authored by Stephen Lin include:

  • A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Targeting the αVβ3/NgR2 pathway in neuroendocrine prostate cancer, 2023, Matrix Biology
  • Expression of the αVβ3 integrin affects prostate cancer sEV cargo and density and promotes sEV pro-tumorigenic activity in vivo through a GPI-anchored receptor, NgR2, 2024, Journal of Extracellular Vesicles
  • The NOGO receptor NgR2, a novel αVβ3 integrin effector, induces neuroendocrine differentiation in prostate cancer, 2022, Scientific Reports
  • The pharmacokinetics, pharmacodynamics, and short-term safety of cilofexor, a nonsteroidal farnesoid X receptor agonist, in subjects with hepatic impairment, 2020, Journal of Hepatology

The venues where Stephen Lin frequently publishes reflect the multidisciplinary nature of their work, including:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Matrix Biology
  • Journal of Extracellular Vesicles
  • Scientific Reports

Stephen Lin collaborates regularly with several researchers, with frequent co-authors including:

  • Fabio Quaglia
  • Christopher D. Shields
  • William Kevin Kelly
  • Dario C. Altieri
  • Lucia R. Languino

Best Publications

  • Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows

    Ze Liu;Yutong Lin;Yue Cao;Han Hu

  • Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

    Shuicheng Yan;Dong Xu;Benyu Zhang;Hong-Jiang Zhang

  • Video Swin Transformer

    Unknown

  • Deformable ConvNets V2: More Deformable, Better Results

    Xizhou Zhu;Han Hu;Stephen Lin;Jifeng Dai

  • GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond

    Yue Cao;Jiarui Xu;Stephen Lin;Fangyun Wei

  • RepPoints: Point Set Representation for Object Detection

    Ze Yang;Shaohui Liu;Han Hu;Liwei Wang

  • A High-Quality Denoising Dataset for Smartphone Cameras

    Abdelrahman Abdelhamed;Stephen Lin;Michael S. Brown

  • An Empirical Study of Spatial Attention Mechanisms in Deep Networks

    Xizhou Zhu;Dazhi Cheng;Zheng Zhang;Stephen Lin

  • Local Relation Networks for Image Recognition

    Han Hu;Zheng Zhang;Zhenda Xie;Stephen Lin

  • DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field

    Huazhu Fu;Yanwu Xu;Stephen Lin;Damon Wing Kee Wong

  • 3D shape regression for real-time facial animation

    Chen Cao;Yanlin Weng;Stephen Lin;Kun Zhou

  • Super resolution using edge prior and single image detail synthesis

    Yu-Wing Tai;Shuaicheng Liu;Michael S. Brown;Stephen Lin

  • Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring

    Changyin Zhou;Stephen Lin;Shree K. Nayar

  • Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning

    Zhenda Xie;Yutong Lin;Zheng Zhang;Yue Cao

  • Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content- Based Image Retrieval

    Dong Xu;Shuicheng Yan;Dacheng Tao;S. Lin

  • Discriminant Locally Linear Embedding With High-Order Tensor Data

    Xuelong Li;S. Lin;Shuicheng Yan;Dong Xu

  • Disentangled Non-local Neural Networks

    Minghao Yin;Zhuliang Yao;Yue Cao;Xiu Li

  • Exposure: A White-Box Photo Post-Processing Framework

    Yuanming Hu;Hao He;Chenxi Xu;Baoyuan Wang

  • Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning

    Xinting Gao;Stephen Lin;Tien Yin Wong

  • Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world

    Xun Cao;Tao Yue;Xing Lin;Stephen Lin

  • View-dependent displacement mapping

    Lifeng Wang;Xi Wang;Xin Tong;Stephen Lin

  • Semantic colorization with internet images

    Alex Yong-Sang Chia;Shaojie Zhuo;Raj Kumar Gupta;Yu-Wing Tai

Frequent Co-Authors

Baining Guo
Baining Guo Microsoft (United States)
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)
Xin Tong
Xin Tong Microsoft Research Asia (China)
Kun Zhou
Kun Zhou Zhejiang University
Dong Xu
Dong Xu University of Hong Kong
Ping Tan
Ping Tan Simon Fraser University
Jiang Liu
Jiang Liu Southern University of Science and Technology
Sing Bing Kang
Sing Bing Kang Zillow Group (United States)
Kwanghoon Sohn
Kwanghoon Sohn Yonsei University
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research

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