World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
31218
World Ranking
5459
National Ranking
732

Xiaojuan Qi 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 Xiaojuan Qi 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: 118 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Xiaojuan Qi 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 Xiaojuan Qi 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Xiaojuan Qi is affiliated with the University of Hong Kong in China and specializes in the field of Computer Science, with a focus on Computer Vision and Pattern Recognition.

Their research spans multiple subfields, including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Health, Toxicology and Mutagenesis
  • Food Science
  • Electrical and Electronic Engineering

Major topics covered in their work include:

  • Advanced Neural Network Applications
  • 3D Shape Modeling and Analysis
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques

Xiaojuan Qi has contributed frequently to several publication venues such as:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Environment International
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Foods

Significant recent papers include:

  • The Liver Tumor Segmentation Benchmark (LiTS), 2022, Medical Image Analysis
  • Stratified Transformer for 3D Point Cloud Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • Unifying Voxel-based Representation with Transformer for 3D Object Detection, 2022, arXiv (Cornell University)

They have collaborated frequently with coauthors including:

  • Jiming Zhang
  • Jikai Wang
  • Zhijun Zhou
  • Jianqiu Guo
  • Chunhua Wu

Best Publications

  • Pyramid Scene Parsing Network

    Hengshuang Zhao;Jianping Shi;Xiaojuan Qi;Xiaogang Wang

  • H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

    Xiaomeng Li;Hao Chen;Xiaojuan Qi;Qi Dou

  • ICNet for Real-Time Semantic Segmentation on High-Resolution Images

    Hengshuang Zhao;Xiaojuan Qi;Xiaoyong Shen;Jianping Shi

  • The Liver Tumor Segmentation Benchmark (LiTS)

    Patrick Bilic;Patrick Ferdinand Christ;Eugene Vorontsov;Grzegorz Chlebus

  • Gland segmentation in colon histology images: The GlaS challenge contest

    Korsuk Sirinukunwattana;Josien P.W. Pluim;Hao Chen;Xiaojuan Qi

  • DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

    Hao Chen;Xiaojuan Qi;Lequan Yu;Pheng-Ann Heng

  • Stratified Transformer for 3D Point Cloud Segmentation

    Unknown

  • DCAN: Deep contour-aware networks for object instance segmentation from histology images

    Hao Chen;Xiaojuan Qi;Lequan Yu;Qi Dou

  • 3D Graph Neural Networks for RGBD Semantic Segmentation

    Xiaojuan Qi;Renjie Liao;Jiaya Jia;Sanja Fidler

  • PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

    Mutian Xu;Runyu Ding;Hengshuang Zhao;Xiaojuan Qi

  • VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking

    Unknown

  • GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation

    Xiaojuan Qi;Renjie Liao;Zhengzhe Liu;Raquel Urtasun

  • Global Texture Enhancement for Fake Face Detection in the Wild

    Zhengzhe Liu;Xiaojuan Qi;Philip H.S. Torr

  • ManiGAN: Text-Guided Image Manipulation

    Bowen Li;Xiaojuan Qi;Thomas Lukasiewicz;Philip H.S. Torr

  • Image inpainting via generative multi-column convolutional neural networks

    Yi Wang;Xin Tao;Xiaojuan Qi;Xiaoyong Shen

  • Referring Image Segmentation via Recurrent Refinement Networks

    Ruiyu Li;Kaican Li;Yi-Chun Kuo;Michelle Shu

  • Unifying Voxel-based Representation with Transformer for 3D Object Detection

    Unknown

  • Controllable Text-to-Image Generation

    Bowen Li;Xiaojuan Qi;Thomas Lukasiewicz;Philip H. S. Torr

  • ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection

    Jihan Yang;Shaoshuai Shi;Zhe Wang;Hongsheng Li

  • Fully Convolutional Networks for Panoptic Segmentation

    Yanwei Li;Hengshuang Zhao;Xiaojuan Qi;Liwei Wang

  • Semi-Parametric Image Synthesis

    Xiaojuan Qi;Qifeng Chen;Jiaya Jia;Vladlen Koltun

  • Few-Shot Action Recognition with Permutation-Invariant Attention

    Hongguang Zhang;Li Zhang;Xiaojuan Qi;Xiaojuan Qi;Hongdong Li

  • Deep contextual networks for neuronal structure segmentation

    Hao Chen;Xiaojuan Qi;Jie-Zhi Cheng;Pheng-Ann Heng

  • Augmented Feedback in Semantic Segmentation Under Image Level Supervision

    Xiaojuan Qi;Zhengzhe Liu;Jianping Shi;Hengshuang Zhao

Frequent Co-Authors

Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Pheng-Ann Heng
Pheng-Ann Heng Chinese University of Hong Kong
Hengshuang Zhao
Hengshuang Zhao University of Hong Kong
Chi-Wing Fu
Chi-Wing Fu Chinese University of Hong Kong
Xiaoyong Shen
Xiaoyong Shen SmartMore Corporation
Jianping Shi
Jianping Shi SenseTime
Thomas Lukasiewicz
Thomas Lukasiewicz University of Oxford
Hao Chen
Hao Chen Chinese University of Hong Kong
Qi Dou
Qi Dou Chinese University of Hong Kong

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 degree options can open a wide range of career opportunities in computer science and related fields. For students concerned about academic requirements, there are resources highlighting the best colleges for low gpa, providing more accessible pathways to a degree.

If you’re interested in exploring further career options, you may want to see what jobs can you get with an environmental science degree, as technology skills are increasingly relevant in environmental sectors.

For those seeking to accelerate their studies, a fast track computer science degree allows students to graduate sooner and enter the workforce more quickly.

Additionally, if you are drawn to the intersection of technology and sustainability, exploring an environmental engineer degree online offers affordable and flexible options in an evolving field.

Best Scientists Citing Xiaojuan Qi

Trending Scientists

Recently Published Articles