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D-Index & Metrics

Computer Science

D-Index
30
Citations
26886
World Ranking
13793
National Ranking
5470

Wenzhe 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 Wenzhe 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: 97 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Wenzhe 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 Wenzhe 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Wenzhe Shi is a researcher affiliated with Twitter in the United States, with a primary focus on computer science and its various subfields. Their body of work spans 21 publications primarily within computer science, including significant contributions to computer vision and pattern recognition, information systems, computer networks and communications, as well as interdisciplinary areas such as surgery and immunology.

Their research topics include:

  • Recommender Systems and Techniques
  • Advanced Image Processing Techniques
  • Mobile Crowdsensing and Crowdsourcing
  • PAPR reduction in OFDM
  • Bioactive Compounds in Plants
  • Wireless Communication Networks Research
  • Drug Transport and Resistance Mechanisms

Wenzhe Shi has published papers in a variety of academic venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Genes
  • IEEE Transactions on Broadcasting
  • Frontiers in Medicine
  • The Visual Computer

Some notable recent publications by Wenzhe Shi include:

  • "Lossy Image Compression with Compressive Autoencoders," 2020, Apollo (University of Cambridge)
  • "A Novel Conversion Vector-Based Low-Complexity SLM Scheme for PAPR Reduction in FBMC/OQAM Systems," 2020, IEEE Transactions on Broadcasting
  • "Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline," 2020, arXiv (Cornell University)
  • "Bile acids affect intestinal barrier function through FXR and TGR5," 2025, Frontiers in Medicine
  • "Deep Bayesian Bandits: Exploring in Online Personalized Recommendations," 2020, arXiv (Cornell University)

Throughout their career, Wenzhe Shi has collaborated frequently with several colleagues, including:

  • Jonathan J. Hunt
  • Guangyao Song
  • Yuxiao Xie
  • Lanlan Yi
  • Hao Jia

This collaboration network suggests an interdisciplinary approach bridging multiple domains within computer science and related fields.

Best Publications

  • Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

    Christian Ledig;Lucas Theis;Ferenc Huszar;Jose Caballero

  • Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

    Wenzhe Shi;Jose Caballero;Ferenc Huszar;Johannes Totz

  • Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

    Christian Ledig;Lucas Theis;Ferenc Huszar;Jose Caballero

  • Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation

    Jose Caballero;Christian Ledig;Andrew Aitken;Alejandro Acosta

  • Lossy Image Compression with Compressive Autoencoders

    Lucas Theis;Wenzhe Shi;Andrew Cunningham;Ferenc Huszár

  • Fast Face-Swap Using Convolutional Neural Networks

    Iryna Korshunova;Wenzhe Shi;Joni Dambre;Lucas Theis

  • Amortised MAP Inference for Image Super-resolution

    Casper Kaae Sønderby;Jose Caballero;Lucas Theis;Wenzhe Shi

  • Lossy Image Compression with Compressive Autoencoders

    Lucas Theis;Wenzhe Shi;Andrew Cunningham;Ferenc Huszár

  • Cardiac image super-resolution with global correspondence using multi-atlas patchmatch.

    Wenzhe Shi;Jose Caballero;Christian Ledig;Xiahai Zhuang

  • Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

    Wenzhe Shi;Jose Caballero;Ferenc Huszár;Johannes Totz

  • A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images

    Wenjia Bai;Wenzhe Shi;D. P. O'Regan;Tong Tong

  • Right ventricle segmentation from cardiac MRI: a collation study.

    Caroline Petitjean;Maria A. Zuluaga;Wenjia Bai;Jean Nicolas Dacher

  • Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study.

    Timothy J W Dawes;Antonio de Marvao;Wenzhe Shi;Tristan Fletcher

  • Evaluation of current algorithms for segmentation of scar tissue from late Gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challenge

    Rashed Karim;R. James Housden;Mayuragoban Balasubramaniam;Zhong Chen

  • Benchmarking framework for myocardial tracking and deformation algorithms: an open access database.

    C. Tobon-Gomez;M. De Craene;M. De Craene;K. McLeod;L. Tautz

  • Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize

    Andrew P. Aitken;Christian Ledig;Lucas Theis;Jose Caballero

  • A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion

    Wenjia Bai;Wenzhe Shi;Antonio M. Simoes Monteiro de Marvao;Timothy J. W. Dawes

  • Multi-atlas segmentation with augmented features for cardiac MR images

    Wenjia Bai;Wenzhe Shi;Christian Ledig;Daniel Rueckert

  • The estimation of patient-specific cardiac diastolic functions from clinical measurements

    Jiahe Xi;Jiahe Xi;Pablo Lamata;Pablo Lamata;Steven Niederer;Steven Niederer;Sander Land;Sander Land

  • ENHANCING VISUAL DATA USING UPDATED NEURAL NETWORKS

    Wang Zehan;Bishop Robert David;Shi Wenzhe;Caballero Jose

  • Is the deconvolution layer the same as a convolutional layer

    Wenzhe Shi;Jose Caballero;Lucas Theis;Ferenc Huszar

  • Super resolution using a generative adversarial network

    Wenzhe Shi;Christian Ledig;Zehan Wang;Lucas Theis

  • A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration

    Wenzhe Shi;Xiahai Zhuang;Haiyan Wang;S. Duckett

  • Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection.

    Xiahai Zhuang;Wenjia Bai;Jingjing Song;Songhua Zhan

Frequent Co-Authors

Daniel Rueckert
Daniel Rueckert Technical University of Munich
Stuart A. Cook
Stuart A. Cook Duke NUS Graduate Medical School
Xiahai Zhuang
Xiahai Zhuang Fudan University
Wenjia Bai
Wenjia Bai Imperial College London
Sebastien Ourselin
Sebastien Ourselin King's College London
Reza Razavi
Reza Razavi King's College London
Christian Ledig
Christian Ledig University of Bamberg
Michael M. Bronstein
Michael M. Bronstein University of Oxford
Kawal Rhode
Kawal Rhode King's College London
Ewan Birney
Ewan Birney European Molecular Biology Laboratory

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