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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
100
Citations
46661
World Ranking
366
National Ranking
43

Xiang Bai 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 Xiang Bai 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 297 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Xiang Bai 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 Xiang Bai sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 100 D-Index — 97th percentile

97% 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

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to shape representation, contextual visual similarity, and camera-based document analysis

Overview

Xiang Bai is affiliated with Huazhong University of Science and Technology in China. Their research primarily focuses on the fields of computer science, with a strong emphasis on computer vision and pattern recognition, alongside notable contributions to artificial intelligence, media technology, electrical and electronic engineering, and radiology, nuclear medicine, and imaging.

The scientist has published extensively on various topics, including:

  • Handwritten Text Recognition Techniques
  • Advanced Image and Video Retrieval Techniques
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Image Processing and 3D Reconstruction
  • Image Retrieval and Classification Techniques

Xiang Bai's recent publications illustrate a focus on object detection, scene text detection, and driving perception tasks. Selected recent papers include:

  • Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Real-Time Scene Text Detection with Differentiable Binarization, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • End-to-End Semi-Supervised Object Detection with Soft Teacher, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • TANet: Robust 3D Object Detection from Point Clouds with Triple Attention, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • YOLOP: You Only Look Once for Panoptic Driving Perception, 2022, Machine Intelligence Research

The scientist frequently collaborates with several coauthors including Yuliang Liu, Dingkang Liang, Song Bai, Lianwen Jin, and Xiaoqing Ye. These collaborations often contribute to a significant share of Xiang Bai's research output.

Xiang Bai's work has been published extensively in well-known venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • SSRN Electronic Journal
  • IEEE Transactions on Image Processing
  • Science China Information Sciences

In 2020, Xiang Bai was recognized as a Fellow of the International Association for Pattern Recognition (IAPR) for contributions to shape representation, contextual visual similarity, and camera-based document analysis.

Best Publications

  • An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

    Baoguang Shi;Xiang Bai;Cong Yao

  • DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

    Gui-Song Xia;Xiang Bai;Jian Ding;Zhen Zhu

  • AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

    Gui-Song Xia;Jingwen Hu;Fan Hu;Baoguang Shi

  • AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification

    Gui-Song Xia;Jingwen Hu;Fan Hu;Baoguang Shi

  • TextBoxes: a fast text detector with a single deep neural network

    Minghui Liao;Baoguang Shi;Xiang Bai;Xinggang Wang

  • Detecting texts of arbitrary orientations in natural images

    Cong Yao;Xiang Bai;Wenyu Liu;Yi Ma

  • TextBoxes++: A Single-Shot Oriented Scene Text Detector.

    Minghui Liao;Baoguang Shi;Xiang Bai

  • Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection

    Yongchao Xu;Mingtao Fu;Qimeng Wang;Yukang Wang

  • Richer Convolutional Features for Edge Detection

    Yun Liu;Ming-Ming Cheng;Xiaowei Hu;Jia-Wang Bian

  • ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

    Baoguang Shi;Mingkun Yang;Xinggang Wang;Pengyuan Lyu

  • Real-Time Scene Text Detection with Differentiable Binarization

    Minghui Liao;Zhaoyi Wan;Cong Yao;Kai Chen

  • Detecting Oriented Text in Natural Images by Linking Segments

    Baoguang Shi;Xiang Bai;Serge Belongie

  • Robust Scene Text Recognition with Automatic Rectification

    Baoguang Shi;Xinggang Wang;Pengyuan Lyu;Cong Yao

  • Asymmetric Non-Local Neural Networks for Semantic Segmentation

    Zhen Zhu;Mengdu Xu;Song Bai;Tengteng Huang

  • Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation

    Zhuowen Tu;Xiang Bai

  • Multi-oriented Text Detection with Fully Convolutional Networks

    Zheng Zhang;Chengquan Zhang;Wei Shen;Cong Yao

  • DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection

    Wei Shen;Xinggang Wang;Yan Wang;Xiang Bai

  • Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution

    Xiang Bai;L.J. Latecki;Wen-Yu Liu

  • Rotation-Sensitive Regression for Oriented Scene Text Detection

    Minghui Liao;Zhen Zhu;Baoguang Shi;Gui-song Xia

  • Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

    Pengyuan Lyu;Minghui Liao;Cong Yao;Wenhao Wu

  • Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

    Minghui Liao;Pengyuan Lyu;Minghang He;Cong Yao

Frequent Co-Authors

Wenyu Liu
Wenyu Liu Huazhong University of Science and Technology
Song Bai
Song Bai ByteDance
Longin Jan Latecki
Longin Jan Latecki Temple University
Cong Yao
Cong Yao Alibaba Group (China)
Xinggang Wang
Xinggang Wang Huazhong University of Science and Technology
Zhuowen Tu
Zhuowen Tu University of California, San Diego
Wei Shen
Wei Shen Johns Hopkins University
Gui-Song Xia
Gui-Song Xia Wuhan University
Qi Tian
Qi Tian Huawei Technologies (China)
Zhaoxiang Zhang
Zhaoxiang Zhang Chinese Academy of Sciences

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