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2025

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Rising Stars

D-Index
43
Citations
9196
World Ranking
512
National Ranking
172

Computer Science

D-Index
47
Citations
11344
World Ranking
6389
National Ranking
850

Xueyang Fu 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 Xueyang Fu 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: 155 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Xueyang Fu 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 Xueyang Fu 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: 47 D-Index — 56th percentile

56% 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

  • 2025 - Research.com Rising Stars Award

Overview

Xueyang Fu is affiliated with the University of Science and Technology of China in China. Their research spans a number of areas within computer science and engineering, with a particular emphasis on computer vision, image processing, and related fields.

Their work is frequently published in leading academic venues, including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Geoscience and Remote Sensing

Xueyang Fu's main research fields are:

  • Computer Science
  • Engineering

Within these, they focus on subfields such as:

  • Computer Vision and Pattern Recognition
  • Media Technology
  • Cognitive Neuroscience
  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design

The main research topics covered in their publications include:

  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Advanced Vision and Imaging
  • Video Surveillance and Tracking Methods
  • Generative Adversarial Networks and Image Synthesis

Recent papers authored or co-authored by Xueyang Fu demonstrate contributions across these topics:

  • "Image De-Raining Transformer", 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Underwater image enhancement with global-local networks and compressed-histogram equalization", 2020, Signal Processing Image Communication
  • "Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening", 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Rain Streak Removal via Dual Graph Convolutional Network", 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising", 2021, IEEE Transactions on Geoscience and Remote Sensing

Xueyang Fu has collaborated extensively with other researchers. Frequent co-authors include:

  • Zheng-Jun Zha
  • Aiping Liu
  • Yurui Zhu
  • Chengjie Ge
  • Man Zhou

Best Publications

  • Removing Rain from Single Images via a Deep Detail Network

    Xueyang Fu;Jiabin Huang;Delu Zeng;Yue Huang

  • A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation

    Xueyang Fu;Delu Zeng;Yue Huang;Xiao-Ping Zhang

  • Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal

    Xueyang Fu;Jiabin Huang;Xinghao Ding;Yinghao Liao

  • PanNet: A Deep Network Architecture for Pan-Sharpening

    Junfeng Yang;Xueyang Fu;Yuwen Hu;Yue Huang

  • A fusion-based enhancing method for weakly illuminated images

    Xueyang Fu;Delu Zeng;Yue Huang;Yinghao Liao

  • A retinex-based enhancing approach for single underwater image

    Xueyang Fu;Peixian Zhuang;Yue Huang;Yinghao Liao

  • A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation

    Xueyang Fu;Yinghao Liao;Delu Zeng;Yue Huang

  • Lightweight Pyramid Networks for Image Deraining

    Xueyang Fu;Borong Liang;Yue Huang;Xinghao Ding

  • Image De-Raining Transformer

    Unknown

  • Two-step approach for single underwater image enhancement

    Xueyang Fu;Zhiwen Fan;Mei Ling;Yue Huang

  • Underwater image enhancement with global–local networks and compressed-histogram equalization

    Xueyang Fu;Xiangyong Cao

  • A Variational Pan-Sharpening With Local Gradient Constraints

    Xueyang Fu;Zihuang Lin;Yue Huang;Xinghao Ding

  • Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI

    Yue Huang;John Paisley;Qin Lin;Xinghao Ding

  • Single-Image-Based Rain and Snow Removal Using Multi-guided Filter

    Xianhui Zheng;Yinghao Liao;Wei Guo;Xueyang Fu

  • Remote Sensing Image Enhancement Using Regularized-Histogram Equalization and DCT

    Xueyang Fu;Jiye Wang;Delu Zeng;Yue Huang

  • Residual-Guide Network for Single Image Deraining

    Zhiwen Fan;Huafeng Wu;Xueyang Fu;Yue Huang

  • Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening

    Xueyang Fu;Wu Wang;Yue Huang;Xinghao Ding

  • Rain Streak Removal via Dual Graph Convolutional Network.

    Xueyang Fu;Qi Qi;Zheng-Jun Zha;Yurui Zhu

  • Bijective Mapping Network for Shadow Removal

    Unknown

  • JPEG Artifacts Reduction via Deep Convolutional Sparse Coding

    Xueyang Fu;Zheng-Jun Zha;Feng Wu;Xinghao Ding

  • A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction

    Liyan Sun;Zhiwen Fan;Xueyang Fu;Yue Huang

  • A novel retinex based approach for image enhancement with illumination adjustment

    Xueyang Fu;Ye Sun;Minghui LiWang;Yue Huang

  • Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising

    Xiangyong Cao;Xueyang Fu;Chen Xu;Deyu Meng

  • Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI

    Yue Huang;John Paisley;Qin Lin;Xinghao Ding

Frequent Co-Authors

Xinghao Ding
Xinghao Ding Xiamen University
Yue Huang
Yue Huang Xiamen University
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
John Paisley
John Paisley Columbia University
Xiao-Ping Zhang
Xiao-Ping Zhang University of Birmingham
Feng Wu
Feng Wu University of Science and Technology of China
Dong Liu
Dong Liu University of Science and Technology of China
Richang Hong
Richang Hong Hefei University of Technology
Deyu Meng
Deyu Meng Xi'an Jiaotong University
Danfeng Hong
Danfeng Hong Chinese Academy of Sciences

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