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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
88
Citations
27357
World Ranking
690
National Ranking
101

Zongben Xu 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 Zongben Xu 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: 446 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Zongben Xu 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 Zongben Xu 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: 88 D-Index — 95th percentile

95% 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

Overview

Zongben Xu is affiliated with Xi'an Jiaotong University in China and conducts research primarily in the fields of Computer Science and Engineering. Their work spans several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering.

The scientist's research topics include Remote-Sensing Image Classification, Domain Adaptation and Few-Shot Learning, Advanced Image Fusion Techniques, Generative Adversarial Networks and Image Synthesis, Advanced Neural Network Applications, Face and Expression Recognition, and Machine Learning and Data Classification.

Frequent co-authors collaborating with Zongben Xu include:

  • Deyu Meng (13 publications)
  • Jian Sun (7 publications)
  • Qian Zhao (4 publications)
  • Jing Yao (4 publications)
  • Danfeng Hong (4 publications)

Major venues in which the scientist has published are:

  • arXiv (Cornell University), 11 publications
  • IEEE Transactions on Geoscience and Remote Sensing, 4 publications
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, 2 publications
  • National Science Review, 2 publications
  • IEEE Transactions on Medical Imaging, 1 publication

Selected recent papers authored or co-authored by Zongben Xu include:

  • "MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN," 2020, IEEE Transactions on Medical Imaging
  • "Multimodal GANs: Toward Crossmodal Hyperspectral-Multispectral Image Segmentation," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field," 2020, IEEE Transactions on Image Processing
  • "Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing," 2021, IEEE Transactions on Geoscience and Remote Sensing

Best Publications

  • Image super-resolution using gradient profile prior

    Jian Sun;Zongben Xu;Heung-Yeung Shum

  • $L_{1/2}$ Regularization: A Thresholding Representation Theory and a Fast Solver

    Zongben Xu;Xiangyu Chang;Fengmin Xu;Hai Zhang

  • Deep ADMM-Net for compressive sensing MRI

    Yan Yang;Jian Sun;Huibin Li;Zongben Xu

  • Learning a convolutional neural network for non-uniform motion blur removal

    Jian Sun;Wenfei Cao;Zongben Xu;Jean Ponce

  • ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing

    Yan Yang;Jian Sun;Huibin Li;Zongben Xu

  • Image Inpainting by Patch Propagation Using Patch Sparsity

    Zongben Xu;Jian Sun

  • Model-Driven Deep Learning for Physical Layer Communications

    Hengtao He;Shi Jin;Chao-Kai Wen;Feifei Gao

  • Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

    Jun Shu;Qi Xie;Lixuan Yi;Qian Zhao

  • Determination of the spread parameter in the Gaussian kernel for classification and regression

    Wenjian Wang;Zongben Xu;Weizhen Lu;Xiaoyun Zhang

  • Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network

    Xiangyong Cao;Feng Zhou;Lin Xu;Deyu Meng

  • Clustering by scale-space filtering

    Yee Leung;Jiang-She Zhang;Zong-Ben Xu

  • Semi-Supervised Transfer Learning for Image Rain Removal

    Wei Wei;Deyu Meng;Qian Zhao;Zongben Xu

  • Characteristic inequalities of uniformly convex and uniformly smooth Banach spaces

    Zong-Ben Xu;G.F Roach

  • Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement

    Jian Sun;Zongben Xu;Heung-Yeung Shum

  • Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising

    Yi Peng;Deyu Meng;Zongben Xu;Chenqiang Gao

  • Hyperspectral Image Classification With Convolutional Neural Network and Active Learning

    Xiangyong Cao;Jing Yao;Zongben Xu;Deyu Meng

  • Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis

    Yee Leung;Yong Gao;Zong-Ben Xu

  • Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery

    Qi Xie;Qian Zhao;Deyu Meng;Zongben Xu

  • Fast Compressed Sensing SAR Imaging Based on Approximated Observation

    Jian Fang;Zongben Xu;Bingchen Zhang;Wen Hong

  • Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes

    Rui Zhang;Yuan Lan;Guang-Bin Huang;Zong-Ben Xu

  • Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

    Qi Xie;Minghao Zhou;Qian Zhao;Deyu Meng

Frequent Co-Authors

Deyu Meng
Deyu Meng Xi'an Jiaotong University
Qian Zhao
Qian Zhao Xi'an Jiaotong University
Jian Sun
Jian Sun Megvii
Kwong-Sak Leung
Kwong-Sak Leung Chinese University of Hong Kong
Yee Leung
Yee Leung Chinese University of Hong Kong
Yong Liang
Yong Liang Jianghan University
Jiangshe Zhang
Jiangshe Zhang Xi'an Jiaotong University
Jinghuai Gao
Jinghuai Gao Xi'an Jiaotong University
Hong Qiao
Hong Qiao Chinese Academy of Sciences
Ting-Zhu Huang
Ting-Zhu Huang University of Electronic Science and Technology of China

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