World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
12430
World Ranking
3462
National Ranking
466

Ce Zhu 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 Ce Zhu 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: 317 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Ce Zhu 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 Ce Zhu 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: 59 D-Index — 77th percentile

77% 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

  • 2017 - IEEE Fellow For contributions to video coding and communications

Overview

Ce Zhu is affiliated with the University of Electronic Science and Technology of China. The primary fields of their research work are Computer Science and Engineering, with a total of 308 publications in Computer Science and 111 in Engineering. Their research spans several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing, and Computational Mathematics.

Their work covers various main topics such as Advanced Image Processing Techniques, Advanced Vision and Imaging, Tensor Decomposition and Applications, Image and Signal Denoising Methods, Sparse and Compressive Sensing Techniques, Image Processing Techniques and Applications, and Advanced Neuroimaging Techniques and Applications.

Frequent publication venues for their research include:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Broadcasting
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Some of their recent papers are:

  • Real-world single image super-resolution: A brief review, 2021, Information Fusion
  • Siamese Network for RGB-D Salient Object Detection and Beyond, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Deep embedded multi-view clustering with collaborative training, 2021, Information Sciences
  • Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Video Coding Optimization for Virtual Reality 360-Degree Source, 2020, IEEE Journal of Selected Topics in Signal Processing

Frequent coauthors collaborating with Ce Zhu include:

  • Yipeng Liu
  • Zhiyuan Zha
  • Bihan Wen
  • Mao Ye
  • Xin Yuan

Ce Zhu was awarded the title of IEEE Fellow in 2017 for contributions to video coding and communications.

Best Publications

  • Hexagon-based search pattern for fast block motion estimation

    Ce Zhu;Xiao Lin;Lap-Pui Chau

  • Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

    Shuai Li;Wanqing Li;Chris Cook;Ce Zhu

  • Distribution-Aware Coordinate Representation for Human Pose Estimation

    Feng Zhang;Xiatian Zhu;Hanbin Dai;Mao Ye

  • AMP-Net: Denoising-Based Deep Unfolding for Compressive Image Sensing

    Zhonghao Zhang;Yipeng Liu;Jiani Liu;Fei Wen

  • Real-World Single Image Super-Resolution: A Brief Review

    Honggang Chen;Xiaohai He;Linbo Qing;Yuanyuan Wu

  • Fast crowd density estimation with convolutional neural networks

    Min Fu;Pei Xu;Xudong Li;Qihe Liu

  • Siamese Network for RGB-D Salient Object Detection and Beyond

    Keren Fu;Deng-Ping Fan;Ge-Peng Ji;Qijun Zhao

  • Enhanced hexagonal search for fast block motion estimation

    Ce Zhu;Xiao Lin;L. Chau;Lai-Man Po

  • Deep embedded multi-view clustering with collaborative training

    Jie Xu;Yazhou Ren;Guofeng Li;Lili Pan

  • A novel hexagon-based search algorithm for fast block motion estimation

    Ce Zhu;Xiao Lin;Lap-Pui Chau;Keng-Pang Lim

  • Automated Detection of Parkinson’s Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network

    Liaqat Ali;Ce Zhu;Zhonghao Zhang;Yipeng Liu

  • A Deep Learning Approach for Multi-Frame In-Loop Filter of HEVC

    Tianyi Li;Mai Xu;Ce Zhu;Ren Yang

  • DaST: Data-Free Substitute Training for Adversarial Attacks

    Mingyi Zhou;Jing Wu;Yipeng Liu;Shuaicheng Liu

  • Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection

    Liaqat Ali;Liaqat Ali;Ce Zhu;Mingyi Zhou;Yipeng Liu

  • Low rank tensor completion for multiway visual data

    Zhen Long;Yipeng Liu;Longxi Chen;Ce Zhu

  • Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection.

    Yingjie Zhou;Xucheng Song;Yanru Zhang;Fanxing Liu

  • Video Coding Optimization for Virtual Reality 360-Degree Source

    Yimin Zhou;Ling Tian;Ce Zhu;Xin Jin

  • Improved Robust Tensor Principal Component Analysis via Low-Rank Core Matrix

    Yipeng Liu;Longxi Chen;Ce Zhu

  • Image Restoration via Simultaneous Nonlocal Self-Similarity Priors

    Zhiyuan Zha;Xin Yuan;Jiantao Zhou;Ce Zhu

  • Binocular Just-Noticeable-Difference Model for Stereoscopic Images

    Yin Zhao;Zhenzhong Chen;Ce Zhu;Yap-Peng Tan

  • 3D-TV System with Depth-Image-Based Rendering

    Ce Zhu;Yin Zhao;Lu Yu;Masayuki Tanimoto

  • A high payload steganographic algorithm based on edge detection

    Junlan Bai;Chin-Chen Chang;Thai-Son Nguyen;Ce Zhu

Frequent Co-Authors

Bihan Wen
Bihan Wen Nanyang Technological University
Jiantao Zhou
Jiantao Zhou University of Macau
Xin Yuan
Xin Yuan Nanyang Technological University
Yao Zhao
Yao Zhao Beijing Jiaotong University
Lap-Pui Chau
Lap-Pui Chau Hong Kong Polytechnic University
Zhengguo Li
Zhengguo Li Institute for Infocomm Research
Frederic Dufaux
Frederic Dufaux CentraleSupélec
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Shuaicheng Liu
Shuaicheng Liu University of Electronic Science and Technology of China
Weisi Lin
Weisi Lin Nanyang Technological University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science can open doors to various high-growth fields. Many students are now considering online education for its flexibility and accessibility. If you're interested in strong career prospects, take a look at some of the highest paying online degrees. These programs span areas like data science, software development, and cybersecurity—each in high demand across industries.

Artificial Intelligence is a particularly fast-growing domain, and you can get started with online degrees in AI. These degrees offer specialized training in machine learning, data analytics, and robotics, setting you up for cutting-edge tech roles.

Unsure which direction to take? Reviewing the college majors with strong career outcomes can help you choose a field that matches your interests and the current job market.

If you're considering postgraduate study, you can also explore the easiest online master's degree options. These programs provide a quicker path to credentials and career advancement—without sacrificing quality.

Best Scientists Citing Ce Zhu

Trending Scientists

Recently Published Articles