World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
9868
World Ranking
5367
National Ranking
2457

Qi 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 Qi 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: 210 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Qi 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 Qi 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Qi Zhao is affiliated with the University of Minnesota in the United States and has an extensive publication record spanning computer science and neuroscience domains. Their research integrates multiple disciplines primarily focusing on machine learning applications and neural engineering.

Their recent papers cover various specialized topics, including neuroprosthetics and visual social relationship recognition. Notable publications include:

  • "A bioelectric neural interface towards intuitive prosthetic control for amputees," 2020, Journal of Neural Engineering
  • "A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control," 2021, arXiv (Cornell University)
  • "Visual Social Relationship Recognition," 2020, International Journal of Computer Vision
  • "Deep Learning-Based Approaches for Decoding Motor Intent From Peripheral Nerve Signals," 2021, Frontiers in Neuroscience
  • "Comparative Study of 3D Point Cloud Compression Methods," 2021, 2021 IEEE International Conference on Big Data (Big Data)

Frequent collaborators in Qi Zhao's work include Ming Jiang, Mohan Kankanhalli, Zhi Yang, Shi Chen, and Jinhui Yang, indicating a diverse network of coauthors across related research fields.

The most common venues for their publications reflect a strong presence in leading journals and conferences in machine learning, neural engineering, and computer vision:

  • arXiv (Cornell University)
  • Journal of Neural Engineering
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • bioRxiv (Cold Spring Harbor Laboratory)

Qi Zhao's scholarly output primarily contributes to the fields of computer science and neuroscience. Their work within computer science frequently intersects with subfields such as computer vision and pattern recognition as well as artificial intelligence. In neuroscience, focus areas include cognitive neuroscience and biomedical engineering.

Within these areas, their research topics encompass a variety of specialized subjects, including:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Muscle activation and electromyography studies
  • Visual Attention and Saliency Detection
  • EEG and Brain-Computer Interfaces
  • Advanced Image and Video Retrieval Techniques
  • Neuroscience and Neural Engineering

Best Publications

  • SALICON: Saliency in Context

    Ming Jiang;Shengsheng Huang;Juanyong Duan;Qi Zhao

  • SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks

    Xun Huang;Chengyao Shen;Xavier Boix;Qi Zhao

  • Atypical Visual Saliency in Autism Spectrum Disorder Quantified through Model-Based Eye Tracking

    Shuo Wang;Ming Jiang;Xavier Morin Duchesne;Elizabeth A. Laugeson

  • Predicting human gaze beyond pixels

    Juan Xu;Ming Jiang;Shuo Wang;Mohan S. Kankanhalli

  • Co-Tracking Using Semi-Supervised Support Vector Machines

    Feng Tang;S. Brennan;Qi Zhao;Hai Tao

  • Learning a saliency map using fixated locations in natural scenes.

    Qi Zhao;Christof Koch;Christof Koch

  • Learning to Learn From Noisy Labeled Data

    Junnan Li;Yongkang Wong;Qi Zhao;Mohan S. Kankanhalli

  • Antibiotics in Drinking Water in Shanghai and Their Contribution to Antibiotic Exposure of School Children.

    Hexing Wang;Na Wang;Bin Wang;Qi Zhao

  • VisDrone-DET2021: The Vision Meets Drone Object Detection Challenge Results

    Yaru Cao;Zhijian He;Lujia Wang;Wenguan Wang

  • A Closed-Form Solution to Retinex with Nonlocal Texture Constraints

    Qi Zhao;Ping Tan;Qiang Dai;Li Shen

  • Probabilistic Graphlet Transfer for Photo Cropping

    Luming Zhang;Mingli Song;Qi Zhao;Xiao Liu

  • Foveation-based Mechanisms Alleviate Adversarial Examples

    Yan Luo;Xavier Boix;Gemma Roig;Tomaso A. Poggio

  • Learning Visual Attention to Identify People with Autism Spectrum Disorder

    Ming Jiang;Qi Zhao

  • Emotional Attention: A Study of Image Sentiment and Visual Attention

    Shaojing Fan;Zhiqi Shen;Ming Jiang;Bryan L. Koenig

  • Differential Earth Mover's Distance with Its Applications to Visual Tracking

    Qi Zhao;Zhi Yang;Hai Tao

  • Weakly Supervised Photo Cropping

    Luming Zhang;Mingli Song;Yi Yang;Qi Zhao

  • Learning to Detect Human-Object Interactions With Knowledge

    Bingjie Xu;Yongkang Wong;Junnan Li;Qi Zhao

  • Learning saliency-based visual attention: A review

    Qi Zhao;Christof Koch

  • Urinary Antibiotics of Pregnant Women in Eastern China and Cumulative Health Risk Assessment

    Hexing Wang;Na Wang;Junhua Qian;Lingyun Hu

  • Shallowing Deep Networks: Layer-Wise Pruning Based on Feature Representations

    Shi Chen;Qi Zhao

  • Estimation of intrinsic image sequences from image+depth video

    Kyong Joon Lee;Qi Zhao;Xin Tong;Minmin Gong

Frequent Co-Authors

Mohan S. Kankanhalli
Mohan S. Kankanhalli National University of Singapore
Christof Koch
Christof Koch Allen Institute for Brain Science
Barbara J. Sahakian
Barbara J. Sahakian University of Cambridge
Jiashi Feng
Jiashi Feng ByteDance
Mingli Song
Mingli Song Zhejiang University
Joo-Hwee Lim
Joo-Hwee Lim Agency for Science, Technology and Research
Jianfeng Feng
Jianfeng Feng Fudan University
Sven Hoffner
Sven Hoffner Karolinska Institute
Wentai Liu
Wentai Liu University of California, Los Angeles
Nawi Ng
Nawi Ng University of Gothenburg

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 opens numerous doors, but you might also consider alternative or supplemental online degrees. For tech-minded students seeking flexibility, a computer science degree online can be a fast, efficient route to essential skills and career growth in IT, software development, and data science.

Those interested in applying technology to solve environmental challenges could look into an environmental science degree. This field offers diverse career pathways in conservation, resource management, and sustainability.

Engineering is also a strong option. An environmental engineering degree online integrates engineering principles with environmental protection, qualifying graduates for impactful roles in eco-solutions and compliance.

For those drawn to design and innovation, consider an online degree for mechanical engineering. This pathway covers robotics, manufacturing, and product development—equipping you for a wide range of technical careers.

By exploring related online degrees, you can tailor your education to match your career goals—whether it’s in tech, engineering, or environmental solutions.

Best Scientists Citing Qi Zhao

Trending Scientists

Recently Published Articles