World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
15461
World Ranking
3063
National Ranking
411

Qixiang Ye 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 Qixiang Ye 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: 240 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Qixiang Ye 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 Qixiang Ye 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: 61 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

Qixiang Ye is affiliated with the Chinese Academy of Sciences in China. Their research primarily falls within the field of computer science, with a focus on topics related to computer vision and pattern recognition. The scientist has contributed extensively to subfields including artificial intelligence, aerospace engineering, media technology, and electrical and electronic engineering.

Their work covers a range of main topics, such as:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Visual Attention and Saliency Detection

Qixiang Ye has frequently published in several venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Pattern Recognition

Their recent notable publications include:

  • Conformer: Local Features Coupling Global Representations for Visual Recognition, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • VMamba: Visual State Space Model, 2024, arXiv (Cornell University)
  • TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Learning to Match Anchors for Visual Object Detection, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors collaborating with Qixiang Ye include:

  • Jianbin Jiao
  • Rongrong Ji
  • Zhenjun Han
  • Fang Wan
  • Lingxi Xie

Best Publications

  • Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification

    Weijian Deng;Liang Zheng;Qixiang Ye;Guoliang Kang

  • Text Detection and Recognition in Imagery: A Survey

    Qixiang Ye;David Doermann

  • Conformer: Local Features Coupling Global Representations for Visual Recognition

    Zhiliang Peng;Wei Huang;Shanzhi Gu;Lingxi Xie

  • Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

    Shaohui Lin;Rongrong Ji;Chenqian Yan;Baochang Zhang

  • Fast and robust text detection in images and video frames

    Qixiang Ye;Qingming Huang;Wen Gao;Debin Zhao

  • Orientation robust object detection in aerial images using deep convolutional neural network

    Haigang Zhu;Xiaogang Chen;Weiqun Dai;Kun Fu

  • Prototype Mixture Models for Few-Shot Semantic Segmentation

    Boyu Yang;Chang Liu;Bohao Li;Jianbin Jiao

  • Scale Match for Tiny Person Detection

    Xuehui Yu;Yuqi Gong;Nan Jiang;Qixiang Ye

  • Weakly Supervised Instance Segmentation Using Class Peak Response

    Yanzhao Zhou;Yi Zhu;Qixiang Ye;Qiang Qiu

  • AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification

    Yunpeng Zhai;Shijian Lu;Qixiang Ye;Xuebo Shan

  • SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images

    Caijing Miao;Lingxi Xie;Fang Wan;Chi Su

  • Oriented Response Networks

    Yanzhao Zhou;Qixiang Ye;Qiang Qiu;Jianbin Jiao

  • FreeAnchor: Learning to Match Anchors for Visual Object Detection

    Xiaosong Zhang;Fang Wan;Chang Liu;Rongrong Ji

  • Selective Sparse Sampling for Fine-Grained Image Recognition

    Yao Ding;Yanzhao Zhou;Yi Zhu;Qixiang Ye

  • A configurable method for multi-style license plate recognition

    Jianbin Jiao;Qixiang Ye;Qingming Huang

  • BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

    Unknown

  • C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

    Fang Wan;Chang Liu;Wei Ke;Xiangyang Ji

  • Learning to Match Anchors for Visual Object Detection.

    Xiaosong Zhang;Fang Wan;Chang Liu;Xiangyang Ji

  • Min-Entropy Latent Model for Weakly Supervised Object Detection

    Fang Wan;Pengxu Wei;Jianbin Jiao;Zhenjun Han

  • Beyond Bounding-Box: Convex-hull Feature Adaptation for Oriented and Densely Packed Object Detection

    Zonghao Guo;Chang Liu;Xiaosong Zhang;Jianbin Jiao

  • Multiple Expert Brainstorming for Domain Adaptive Person Re-Identification

    Yunpeng Zhai;Qixiang Ye;Shijian Lu;Mengxi Jia

  • Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning

    Yuan Yao;Chang Liu;Dezhao Luo;Yu Zhou

Frequent Co-Authors

Jianbin Jiao
Jianbin Jiao University of Chinese Academy of Sciences
Rongrong Ji
Rongrong Ji Xiamen University
Baochang Zhang
Baochang Zhang Beihang University
Wei Ke
Wei Ke University of Chinese Academy of Sciences
Wen Gao
Wen Gao Peking University
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
David Doermann
David Doermann University at Buffalo, State University of New York
Yonghong Tian
Yonghong Tian Peking University
Qi Tian
Qi Tian Huawei Technologies (China)
Jianzhuang Liu
Jianzhuang Liu Shenzhen Institutes of Advanced Technology

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