World's Best Scientists 2026 revealed!
Changqing Zhang

Changqing Zhang

D-Index & Metrics

Computer Science

D-Index
53
Citations
11982
World Ranking
4805
National Ranking
642

Changqing Zhang 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 Changqing Zhang 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: 121 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Changqing Zhang 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 Changqing Zhang 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Changqing Zhang is affiliated with Tianjin University in China and has contributed extensively to the field of computer science, focusing on artificial intelligence and computer vision. Their research spans a variety of subfields, including radiology, nuclear medicine and imaging, media technology, and ophthalmology.

The scientist's recent publications demonstrate engagement with multi-view learning, medical imaging, and trustworthy multimodal classification. Key recent papers include:

  • Trusted Multi-View Classification With Dynamic Evidential Fusion, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning, 2020, IEEE Transactions on Medical Imaging
  • Deep Partial Multi-View Learning, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Tensorized Multi-view Subspace Representation Learning, 2020, International Journal of Computer Vision
  • Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their work frequently appears in venues such as arXiv, Proceedings of the AAAI Conference on Artificial Intelligence, Medical Image Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, and IEEE Transactions on Medical Imaging.

Their research topics cover a range of areas, including:

  • Domain Adaptation and Few-Shot Learning
  • Anomaly Detection Techniques and Applications
  • Machine Learning and Data Classification
  • Retinal Imaging and Analysis
  • Adversarial Robustness in Machine Learning
  • Advanced Neural Network Applications
  • Remote-Sensing Image Classification

Changqing Zhang has collaborated frequently with several researchers, notably:

  • Huazhu Fu
  • Qinghua Hu
  • Zongbo Han
  • Joey Tianyi Zhou
  • Bingzhe Wu

The body of work includes 127 publications in computer science, with 74 related to artificial intelligence and 37 focusing on computer vision and pattern recognition. The breadth of study also extends into applications within radiology and imaging sciences.

Best Publications

  • Diversity-induced Multi-view Subspace Clustering

    Xiaochun Cao;Changqing Zhang;Huazhu Fu;Si Liu

  • Generalized Latent Multi-View Subspace Clustering

    Changqing Zhang;Huazhu Fu;Qinghua Hu;Xiaochun Cao

  • Low-Rank Tensor Constrained Multiview Subspace Clustering

    Changqing Zhang;Huazhu Fu;Si Liu;Guangcan Liu

  • Latent Multi-view Subspace Clustering

    Changqing Zhang;Qinghua Hu;Huazhu Fu;Pengfei Zhu

  • Graph Learning for Multiview Clustering

    Kun Zhan;Changqing Zhang;Junpeng Guan;Junsheng Wang

  • Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image

    Huazhu Fu;Jun Cheng;Yanwu Xu;Changqing Zhang

  • Trusted Multi-View Classification With Dynamic Evidential Fusion

    Unknown

  • Consistent and Specific Multi-view Subspace Clustering

    Shirui Luo;Changqing Zhang;Wei Zhang;Xiaochun Cao

  • Exclusivity-Consistency Regularized Multi-view Subspace Clustering

    Xiaobo Wang;Xiaojie Guo;Zhen Lei;Changqing Zhang

  • Learning a Joint Affinity Graph for Multiview Subspace Clustering

    Chang Tang;Xinzhong Zhu;Xinwang Liu;Miaomiao Li

  • Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning

    Hengyuan Kang;Liming Xia;Fuhua Yan;Zhibin Wan

  • Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion

    Runmin Cong;Jianjun Lei;Changqing Zhang;Qingming Huang

  • AE2-Nets: Autoencoder in Autoencoder Networks

    Changqing Zhang;Yeqing Liu;Huazhu Fu

  • Deep Partial Multi-View Learning.

    Changqing Zhang;Yajie Cui;Zongbo Han;Joey Tianyi Zhou

  • Subspace clustering guided unsupervised feature selection

    Pengfei Zhu;Wencheng Zhu;Qinghua Hu;Changqing Zhang

  • Multi-view subspace clustering with intactness-aware similarity

    Xiaobo Wang;Zhen Lei;Xiaojie Guo;Changqing Zhang

  • Graph Structure Fusion for Multiview Clustering

    Kun Zhan;Chaoxi Niu;Changlu Chen;Feiping Nie

  • Multi-label feature selection with missing labels

    Pengfei Zhu;Qian Xu;Qinghua Hu;Changqing Zhang

  • SketchNet: Sketch Classification with Web Images

    Hua Zhang;Si Liu;Changqing Zhang;Wenqi Ren

  • Dual Shared-Specific Multiview Subspace Clustering

    Tao Zhou;Changqing Zhang;Xi Peng;Harish Bhaskar

  • Flexible Multi-View Dimensionality Co-Reduction

    Changqing Zhang;Huazhu Fu;Qinghua Hu;Pengfei Zhu

  • Flexible Multi-View Representation Learning for Subspace Clustering

    Ruihuang Li;Changqing Zhang;Changqing Zhang;Qinghua Hu;Pengfei Zhu

Frequent Co-Authors

Qinghua Hu
Qinghua Hu Tianjin University
Pengfei Zhu
Pengfei Zhu Tianjin University
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Xiaochun Cao
Xiaochun Cao Sun Yat-sen University
Joey Tianyi Zhou
Joey Tianyi Zhou Agency for Science, Technology and Research
Dinggang Shen
Dinggang Shen ShanghaiTech University
Jinggui Fang
Jinggui Fang Nanjing Agricultural University
Xi Peng
Xi Peng Sichuan University
Xiaojie Guo
Xiaojie Guo Tianjin University
Feng Shi
Feng Shi United Imaging Intelligence (China)

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