World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5174
World Ranking
10850
National Ranking
4517

Yiyu Shi 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 Yiyu Shi 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: 335 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Yiyu Shi 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 Yiyu Shi 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Yiyu Shi is affiliated with the University of Notre Dame in the United States. Their research spans multiple interdisciplinary fields, primarily situated in computer science, medicine, and engineering. This cross-disciplinary approach is reflected in the range of topics and publication venues associated with their work.

The main fields of study covered by Yiyu Shi's publications include:

  • Computer Science
  • Medicine
  • Engineering

Within these fields, they have contributed extensively to several subfields such as:

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

The research topics frequently addressed by Yiyu Shi further illustrate their expertise in both computational and medical domains. These include:

  • Advanced Neural Network Applications
  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Quantum Computing Algorithms and Architecture
  • Domain Adaptation and Few-Shot Learning
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Image Segmentation Techniques

Their recent papers demonstrate a focus on hardware-software integration, neural architectures, and medical image analysis. Selected publications include:

  • "Hardware/Software Co-Exploration of Neural Architectures" (2020) in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators" (2020) in IEEE Transactions on Computers
  • "Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search With Hot Start" (2020) in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images" (2023) in Computerized Medical Imaging and Graphics
  • "The importance of resource awareness in artificial intelligence for healthcare" (2023) in Nature Machine Intelligence

Yiyu Shi has collaborated extensively with several other researchers, reflecting sustained partnerships in their field of work. Frequent co-authors include:

  • Jingtong Hu
  • Xiaowei Xu
  • Dewen Zeng
  • Weiwen Jiang
  • Meiping Huang

Their work has appeared prominently in venues including:

  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Medical Image Analysis
  • Nature Machine Intelligence
  • 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)

Best Publications

  • Scaling for edge inference of deep neural networks

    Xiaowei Xu;Yukun Ding;Sharon Xiaobo Hu;Michael Niemier

  • Hardware/Software Co-Exploration of Neural Architectures

    Weiwen Jiang;Lei Yang;Edwin Hsing-Mean Sha;Qingfeng Zhuge

  • Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search

    Weiwen Jiang;Xinyi Zhang;Edwin H.-M. Sha;Lei Yang

  • Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks

    Lei Yang;Zheyu Yan;Meng Li;Hyoukjun Kwon

  • Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

    Xiaowei Xu;Qing Lu;Lin Yang;Sharon Hu

  • Semi-supervised Contrastive Learning for Label-Efficient Medical Image Segmentation.

    Xinrong Hu;Dewen Zeng;Xiaowei Xu;Yiyu Shi

  • Thermal via allocation for 3D ICs considering temporally and spatially variant thermal power

    Hao Yu;Yiyu Shi;Lei He;Tanay Karnik

  • On Neural Architecture Search for Resource-Constrained Hardware Platforms.

    Qing Lu;Weiwen Jiang;Xiaowei Xu;Yiyu Shi

  • Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators

    Weiwen Jiang;Qiuwen Lou;Zheyu Yan;Lei Yang

  • Thermal-aware cell and through-silicon-via co-placement for 3D ICs

    Jason Cong;Guojie Luo;Yiyu Shi

  • Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search With Hot Start

    Weiwen Jiang;Lei Yang;Sakyasingha Dasgupta;Jingtong Hu

  • ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images

    Unknown

  • Positional Contrastive Learning for Volumetric Medical Image Segmentation

    Dewen Zeng;Yawen Wu;Xinrong Hu;Xiaowei Xu

  • A universal state-of-charge algorithm for batteries

    Bingjun Xiao;Yiyu Shi;Lei He

  • DAC-SDC Low Power Object Detection Challenge for UAV Applications

    Xiaowei Xu;Xinyi Zhang;Bei Yu;Xiaobo Sharon Hu

  • On the Efficacy of Through-Silicon-Via Inductors

    Umamaheswara Rao Tida;Rongbo Yang;Cheng Zhuo;Yiyu Shi

  • An Analytical Placement Framework for 3-D ICs and Its Extension on Thermal Awareness

    Guojie Luo;Yiyu Shi;J. Cong

  • Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching

    Xiaowei Xu;Tianchen Wang;Yiyu Shi;Haiyun Yuan

  • Distributed contrastive learning for medical image segmentation

    Unknown

  • Demand-Side Management of Domestic Electric Water Heaters Using Approximate Dynamic Programming

    Khalid Al-jabery;Zhezhao Xu;Wenjian Yu;Donald C. Wunsch

  • When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies

    Zheyu Yan;Yiyu Shi;Wang Liao;Masanori Hashimoto

  • Measurement and Evaluation of Power Analysis Attacks on Asynchronous S-Box

    Jun Wu;Yiyu Shi;Minsu Choi

  • From Layout to System: Early Stage Power Delivery and Architecture Co-Exploration

    Cheng Zhuo;Kassan Unda;Yiyu Shi;Wei-Kai Shih

  • Real-Time Adversarial Attacks

    Yuan Gong;Boyang Li;Christian Poellabauer;Yiyu Shi

  • Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference

    Weiwen Jiang;Edwin H.-M. Sha;Xinyi Zhang;Lei Yang

  • Federated Contrastive Learning for Volumetric Medical Image Segmentation.

    Yawen Wu;Dewen Zeng;Zhepeng Wang;Yiyu Shi

  • DAC-SDC Low Power Object Detection Challenge for UAV Applications

    Xiaowei Xu;Xinyi Zhang;Bei Yu;X. Sharon Hu

Frequent Co-Authors

Jinjun Xiong
Jinjun Xiong University at Buffalo, State University of New York
Jingtong Hu
Jingtong Hu University of Pittsburgh
Lei He
Lei He University of California, Los Angeles
Yu Hu
Yu Hu Institute Of Computing Technology
Hao Yu
Hao Yu South China University of Technology
Tsung-Yi Ho
Tsung-Yi Ho Chinese University of Hong Kong
Xiaobo Sharon Hu
Xiaobo Sharon Hu University of Notre Dame
Ulf Schlichtmann
Ulf Schlichtmann Technical University of Munich
Charles A. Kamhoua
Charles A. Kamhoua United States Army Research Laboratory
Meng Jiang
Meng Jiang University of Notre Dame

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