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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
91
Citations
27583
World Ranking
586
National Ranking
82

Yong 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 Yong 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: 402 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Yong 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 Yong 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: 91 D-Index — 96th percentile

96% 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

Yong Xu is affiliated with the Harbin Institute of Technology in China and has contributed extensively to the fields of medicine and neuroscience. Their research largely focuses on cognitive neuroscience, radiology, nuclear medicine and imaging, psychiatry and mental health, molecular biology, and cardiology and cardiovascular medicine.

The scientist's work centers on topics including functional brain connectivity studies, schizophrenia research and treatment, advanced neuroimaging techniques and applications, neural dynamics and brain function, advanced MRI techniques and applications, mental health research topics, and neuroscience and music perception.

Among recent published papers are:

  • The Efficacy of Computerized Cognitive Behavioral Therapy for Depressive and Anxiety Symptoms in Patients With COVID-19: Randomized Controlled Trial, 2021, Journal of Medical Internet Research
  • Depression and cardiovascular disease: Shared molecular mechanisms and clinical implications, 2020, Psychiatry Research
  • Facial Emotion Recognition in Schizophrenia, 2021, Frontiers in Psychiatry
  • Identifying canonical and replicable multi-scale intrinsic connectivity networks in 100k+ resting-state fMRI datasets, 2023, Human Brain Mapping
  • Reward Processing in Novelty Seekers: A Transdiagnostic Psychiatric Imaging Biomarker, 2021, Biological Psychiatry

Frequent coauthors working with Yong Xu include:

  • Sha Liu
  • Chuanjun Zhuo
  • Hongjun Tian
  • Xinrong Li
  • Wentao Zhao

Yong Xu's publications are often found in the following venues:

  • Frontiers in Neuroscience
  • Frontiers in Psychiatry
  • Brain Imaging and Behavior
  • Translational Psychiatry
  • Journal of Psychiatric Research

Best Publications

  • LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking

    Heng Fan;Haibin Ling;Liting Lin;Fan Yang

  • A Survey of Sparse Representation: Algorithms and Applications

    Zheng Zhang;Yong Xu;Jian Yang;Xuelong Li

  • Deep learning on image denoising: An overview.

    Chunwei Tian;Lunke Fei;Wenxian Zheng;Yong Xu

  • Removing Rain from a Single Image via Discriminative Sparse Coding

    Yu Luo;Yong Xu;Hui Ji

  • Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation

    Hongliang Yan;Yukang Ding;Peihua Li;Qilong Wang

  • Attention-guided CNN for image denoising.

    Chunwei Tian;Yong Xu;Zuoyong Li;Wangmeng Zuo

  • A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition

    Yong Xu;D. Zhang;Jian Yang;Jing-Yu Yang

  • Image denoising using deep CNN with batch renormalization.

    Chunwei Tian;Yong Xu;Wangmeng Zuo

  • Image retrieval based on micro-structure descriptor

    Guang-Hai Liu;Zuo-Yong Li;Lei Zhang;Yong Xu

  • Viewpoint Invariant Texture Description Using Fractal Analysis

    Yong Xu;Hui Ji;Cornelia Fermüller

  • Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes

    Jian Yang;Lei Luo;Jianjun Qian;Ying Tai

  • Robust Sparse Linear Discriminant Analysis

    Jie Wen;Xiaozhao Fang;Jinrong Cui;Lunke Fei

  • Incomplete Multiview Spectral Clustering With Adaptive Graph Learning

    Jie Wen;Yong Xu;Hong Liu

  • Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation

    Yong Xu;Xiaozhao Fang;Jian Wu;Xuelong Li

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

    Wenhan Yang;Ye Yuan;Wenqi Ren;Jiaying Liu

  • Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement

    Yong Xu;Jie Wen;Lunke Fei;Zheng Zhang

  • Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning

    Jingwen Wang;Wenhao Jiang;Lin Ma;Wei Liu

  • LPP solution schemes for use with face recognition

    Yong Xu;Aini Zhong;Jian Yang;David Zhang

  • A New Discriminative Sparse Representation Method for Robust Face Recognition via $l_{2}$ Regularization

    Yong Xu;Zuofeng Zhong;Jian Yang;Jane You

  • Multilinear Sparse Principal Component Analysis

    Zhihui Lai;Yong Xu;Qingcai Chen;Jian Yang

  • Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering

    Jie Wen;Zheng Zhang;Yong Xu;Bob Zhang

  • Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition

    Jian Yang;Delin Chu;Lei Zhang;Yong Xu

  • LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking

    Heng Fan;Liting Lin;Fan Yang;Peng Chu

Frequent Co-Authors

David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Jian Yang
Jian Yang University of Birmingham
Zhihui Lai
Zhihui Lai Shenzhen University
Lunke Fei
Lunke Fei Guangdong University of Technology
Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Bob Zhang
Bob Zhang University of Macau
Xuelong Li
Xuelong Li China Telecom (China)
Chun-Hou Zheng
Chun-Hou Zheng Qufu Normal University
Wai Keung Wong
Wai Keung Wong Hong Kong Polytechnic University

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