World's Best Scientists 2026 revealed!
Qibin Zhao

Qibin Zhao

Award Badge
Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
49
Citations
10778
World Ranking
5841
National Ranking
78

Qibin Zhao 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 Qibin Zhao 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: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Qibin Zhao 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 Qibin Zhao 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: 49 D-Index — 60th percentile

60% 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 Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Qibin Zhao is affiliated with RIKEN in Japan and has contributed extensively to research in computer science and engineering, with a focus on computational methods and applications. Their work encompasses a range of interdisciplinary fields and advanced techniques related to imaging, tensor decomposition, and neural data analysis.

Zhao's research has been published in various scientific venues, including a notable body of work appearing in arXiv (Cornell University), Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, Proceedings of the AAAI Conference on Artificial Intelligence, and SSRN Electronic Journal.

The scientist's main fields of study are:

  • Computer Science
  • Engineering

Within these domains, Zhao's subfields of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computational Mathematics
  • Computational Mechanics
  • Radiology, Nuclear Medicine and Imaging

The research topics Zhao has focused on are diverse, reflecting a strong computational and applied science orientation:

  • Tensor decomposition and applications
  • Sparse and Compressive Sensing Techniques
  • Advanced Neuroimaging Techniques and Applications
  • Image and Signal Denoising Methods
  • EEG and Brain-Computer Interfaces
  • Computational Physics and Python Applications
  • Face and Expression Recognition

Zhao has collaborated frequently with several co-authors:

  • Guoxu Zhou
  • Toshihisa Tanaka
  • Yuning Qiu
  • Shengli Xie
  • Zhenhao Huang

The scientist's recent papers include:

  • "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Image Restoration," 2020, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion," 2021, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Hyperspectral super-resolution via coupled tensor ring factorization," 2021, published in Pattern Recognition
  • "Topological Network Analysis of Early Alzheimer's Disease Based on Resting-State EEG," 2020, published in IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • "BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis," 2022, published in IEEE Transactions on Circuits and Systems for Video Technology

Best Publications

  • Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

    Andrzej Cichocki;Danilo Mandic;Lieven De Lathauwer;Guoxu Zhou

  • Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

    Qibin Zhao;Liqing Zhang;Andrzej Cichocki

  • Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis

    A. Cichocki;D. Mandic;A-H. Phan;C. Caiafa

  • Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1.

    Andrzej Cichocki;Namgil Lee;Ivan V. Oseledets;Anh Huy Phan

  • ECG Feature Extraction and Classification Using Wavelet Transform and Support Vector Machines

    Qibin Zhao;Liqing Zhang

  • Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

    Andrzej Cichocki;Namgil Lee;Ivan Oseledets;Anh-Huy Phan

  • Smooth PARAFAC Decomposition for Tensor Completion

    Tatsuya Yokota;Qibin Zhao;Andrzej Cichocki

  • Sparse Bayesian Classification of EEG for Brain–Computer Interface

    Yu Zhang;Guoxu Zhou;Jing Jin;Qibin Zhao

  • Bayesian Robust Tensor Factorization for Incomplete Multiway Data

    Qibin Zhao;Guoxu Zhou;Liqing Zhang;Andrzej Cichocki

  • Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives

    A. Cichocki;A-H. Phan;Q. Zhao;N. Lee

  • Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data

    Guoxu Zhou;Qibin Zhao;Yu Zhang;Tulay Adali

  • Multiway canonical correlation analysis for frequency components recognition in SSVEP-Based BCIs

    Yu Zhang;Guoxu Zhou;Qibin Zhao;Akinari Onishi

  • A novel BCI based on ERP components sensitive to configural processing of human faces

    Yu Zhang;Qibin Zhao;Jing Jin;Xingyu Wang

  • Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising

    Wei He;Quanming Yao;Chao Li;Naoto Yokoya

  • Noninvasive BCIs: Multiway Signal-Processing Array Decompositions

    A. Cichocki;Y. Washizawa;T. Rutkowski;H. Bakardjian

  • Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion

    Longhao Yuan;Chao Li;Danilo P. Mandic;Jianting Cao

  • Non-local Meets Global: An Integrated Paradigm for Hyperspectral Image Restoration.

    Wei He;Quanming Yao;Chao Li;Naoto Yokoya

  • Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method

    Qibin Zhao;C. F. Caiafa;D. P. Mandic;Z. C. Chao

  • Spatial-Temporal Discriminant Analysis for ERP-Based Brain-Computer Interface

    Yu Zhang;Guoxu Zhou;Qibin Zhao;Jing Jin

  • Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective

    Guoxu Zhou;Andrzej Cichocki;Qibin Zhao;Shengli Xie

  • EEG-based asynchronous BCI control of a car in 3D virtual reality environments

    QiBin Zhao;LiQing Zhang;Andrzej Cichocki

  • Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration

    Wei He;Quanming Yao;Chao Li;Naoto Yokoya

Frequent Co-Authors

Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Guoxu Zhou
Guoxu Zhou Guangdong University of Technology
Liqing Zhang
Liqing Zhang Shanghai Jiao Tong University
Danilo P. Mandic
Danilo P. Mandic Imperial College London
Shengli Xie
Shengli Xie Guangdong University of Technology
Tapani Ristaniemi
Tapani Ristaniemi University of Jyväskylä
Xingyu Wang
Xingyu Wang East China University of Science and Technology
Naoto Yokoya
Naoto Yokoya University of Tokyo
Jing Jin
Jing Jin East China University of Science and Technology
Asoke K. Nandi
Asoke K. Nandi Brunel University London

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

Considering your next steps in computer science? Online degree programs offer flexibility, affordability, and access to in-demand careers. For those looking to enter the workforce quickly, quickest masters degree online programs can help you earn an advanced credential in a shorter time—all while juggling work or family commitments.

If you want to ensure your investment pays off, explore masters degrees that are worth it. These programs focus on skills that employers value most, leading to strong job prospects and higher salaries in fields such as data science, cybersecurity, and AI.

Not ready for a full bachelor’s? An associate degree online can serve as a cost-effective entry point. These programs prepare you for entry-level tech jobs or further study in computer science.

Budget-conscious students should also consider affordable online degree programs to minimize debt and maximize return on investment. Explore your options to find a pathway that matches your goals and budget.

Best Scientists Citing Qibin Zhao

Trending Scientists