World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
10027
World Ranking
5118
National Ranking
71

Joey Tianyi Zhou 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 Joey Tianyi Zhou 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: 161 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Joey Tianyi Zhou 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 Joey Tianyi Zhou 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Joey Tianyi Zhou is affiliated with the Agency for Science, Technology and Research in Singapore. Their research broadly spans the field of Computer Science, with a total of 364 publications recorded. Within this domain, their work primarily focuses on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, and Biomedical Engineering.

The scientist's research topics include Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Human Pose and Action Recognition, Anomaly Detection Techniques and Applications, Advanced Neural Network Applications, Topic Modeling, and Video Surveillance and Tracking Methods.

Among the notable recent papers authored or co-authored by them are:

  • Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Contrastive Clustering, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Trusted Multi-View Classification With Dynamic Evidential Fusion, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network, 2021, International Journal of Computer Vision
  • Deep Partial Multi-View Learning, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

Joey Tianyi Zhou frequently collaborates with several researchers, including Yang Xiao, Rick Siow Mong Goh, Zhiguo Cao, Zhiwen Fang, and Huazhu Fu.

Their publications are concentrated in several key venues, highlighted by a significant number in arXiv (Cornell University) with 96 publications, followed by IEEE Transactions on Neural Networks and Learning Systems (12), IEEE Transactions on Pattern Analysis and Machine Intelligence (11), Proceedings of the AAAI Conference on Artificial Intelligence (6), and IEEE Transactions on Image Processing (5).

Best Publications

  • Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

    Di Jin;Zhijing Jin;Joey Tianyi Zhou;Peter Szolovits

  • Contrastive Clustering

    Yunfan Li;Peng Hu;Zitao Liu;Dezhong Peng

  • Trusted Multi-View Classification With Dynamic Evidential Fusion

    Unknown

  • Structured AutoEncoders for Subspace Clustering.

    Xi Peng;Jiashi Feng;Shijie Xiao;Wei-Yun Yau

  • AnomalyNet: An Anomaly Detection Network for Video Surveillance

    Joey Tianyi Zhou;Jiawei Du;Hongyuan Zhu;Xi Peng

  • Multi-graph fusion for multi-view spectral clustering

    Zhao Kang;Guoxin Shi;Shudong Huang;Wenyu Chen

  • Span-based Localizing Network for Natural Language Video Localization

    Hao Zhang;Aixin Sun;Wei Jing;Joey Tianyi Zhou

  • Partition level multiview subspace clustering.

    Zhao Kang;Xinjia Zhao;Chong Peng;Hongyuan Zhu

  • You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network

    Boyun Li;Yuanbiao Gou;Shuhang Gu;Jerry Zitao Liu

  • Deep Partial Multi-View Learning.

    Changqing Zhang;Yajie Cui;Zongbo Han;Joey Tianyi Zhou

  • A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation From a Single Depth Image

    Fu Xiong;Boshen Zhang;Yang Xiao;Zhiguo Cao

  • Hybrid heterogeneous transfer learning through deep learning

    Joey Tianyi Zhou;Sinno Jialin Pan;Ivor W. Tsang;Yan Yan

  • Exploit Bounding Box Annotations for Multi-Label Object Recognition

    Hao Yang;Joey Tianyi Zhou;Yu Zhang;Bin-Bin Gao

  • Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment

    Di Jin;Zhijing Jin;Joey Tianyi Zhou;Peter Szolovits

  • Zero-Shot Image Dehazing

    Boyun Li;Yuanbiao Gou;Jerry Zitao Liu;Hongyuan Zhu

  • Hierarchical Graph Neural Networks for Few-Shot Learning

    Cen Chen;Kenli Li;Wei Wei;Joey Tianyi Zhou

  • Heterogeneous Domain Adaptation for Multiple Classes

    Joey Tianyi Zhou;Ivor W. Tsang;Sinno Jialin Pan;Mingkui Tan

  • Deep Clustering With Sample-Assignment Invariance Prior

    Xi Peng;Hongyuan Zhu;Jiashi Feng;Chunhua Shen

  • Deep Subspace Clustering

    Xi Peng;Jiashi Feng;Joey Tianyi Zhou;Yingjie Lei

  • Attention-Driven Loss for Anomaly Detection in Video Surveillance

    Joey Tianyi Zhou;Le Zhang;Zhiwen Fang;Jiawei Du

  • COMIC: Multi-view Clustering Without Parameter Selection

    Xi Peng;Zhenyu Huang;Jiancheng Lv;Hongyuan Zhu

  • Multi-view Spectral Clustering Network

    Zhenyu Huang;Joey Tianyi Zhou;Xi Peng;Changqing Zhang

  • CPM-Nets: Cross Partial Multi-View Networks

    Changqing Zhang;Zongbo Han;yajie cui;Huazhu Fu

Frequent Co-Authors

Xi Peng
Xi Peng Sichuan University
Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Zhiguo Cao
Zhiguo Cao Huazhong University of Science and Technology
Changqing Zhang
Changqing Zhang Tianjin University
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Sinno Jialin Pan
Sinno Jialin Pan Chinese University of Hong Kong
Qinghua Hu
Qinghua Hu Tianjin University
Jiashi Feng
Jiashi Feng ByteDance
Aixin Sun
Aixin Sun Nanyang Technological University
Jianfei Cai
Jianfei Cai Monash 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 online education is a smart way to advance your Computer Science career in the USA. Many students seek out the quickest masters degree online to boost their credentials without spending years in school. These accelerated programs let you gain specialized knowledge in less time, helping you enter the workforce or advance in your job more quickly.

When weighing your options, it’s important to choose graduate degrees that are worth it. Look for programs that align with current industry needs and offer strong job prospects after graduation. This strategic approach can open doors to lucrative tech roles.

For those starting out, 1 year associate degree programs online provide a fast and flexible way to gain foundational skills in IT or computer science. These programs are a cost-effective step toward entry-level positions or further study.

Affordability is crucial, especially for international and budget-conscious students. Researching the most affordable online colleges ensures you get a quality education without a heavy financial burden. With so many flexible pathways, you can find an option that best fits your goals and resources.

Best Scientists Citing Joey Tianyi Zhou

Trending Scientists

Recently Published Articles