World's Best Scientists 2026 revealed!
Xudong Kang

Xudong Kang

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
40
Citations
10064
World Ranking
636
National Ranking
224

Computer Science

D-Index
47
Citations
11062
World Ranking
6399
National Ranking
852

Xudong Kang 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 Xudong Kang 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: 169 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Xudong Kang 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 Xudong Kang 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

Xudong Kang is affiliated with Hunan University in China and has made significant contributions to the fields of engineering and computer science, with a particular focus on media technology and computer vision and pattern recognition. Their research encompasses a broad range of topics related to remote sensing, image processing, and neural network applications.

The scientist's publication record reflects extensive work in advanced image analysis and remote sensing. Key topics in their research include:

  • Remote-Sensing Image Classification
  • Advanced Image Fusion Techniques
  • Remote Sensing and Land Use
  • Advanced Image and Video Retrieval Techniques
  • Image Enhancement Techniques
  • Advanced Neural Network Applications
  • Titanium Alloys Microstructure and Properties

Notable recent papers authored or coauthored by Xudong Kang include:

  • Regularizing Hyperspectral and Multispectral Image Fusion by CNN Denoiser, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection With an Isolation Forest-Guided Unsupervised Detector, 2023, IEEE Transactions on Geoscience and Remote Sensing
  • Interactformer: Interactive Transformer and CNN for Hyperspectral Image Super-Resolution, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • Self-supervised learning-based oil spill detection of hyperspectral images, 2022, Science China Technological Sciences
  • FSNet: Focus Scanning Network for Camouflaged Object Detection, 2023, IEEE Transactions on Image Processing

Xudong Kang frequently collaborates with several researchers, including:

  • Shutao Li
  • Puhong Duan
  • Zhuojun Xie
  • Xiaohui Wei
  • Zhaoxin Du

The scientist has published predominantly in the following venues:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • SSRN Electronic Journal
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Image Processing

Xudong Kang's research integrates advanced computational methods with practical applications in remote sensing and image processing, contributing to areas such as hyperspectral image fusion, oil spill detection, and camouflaged object detection. Their work includes a focus on neural networks and transformer-based approaches applied to high-dimensional imaging data.

Best Publications

  • Image Fusion With Guided Filtering

    Shutao Li;Xudong Kang;Jianwen Hu

  • Pixel-level image fusion

    Shutao Li;Xudong Kang;Leyuan Fang;Jianwen Hu

  • Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox

    Behnood Rasti;Danfeng Hong;Renlong Hang;Pedram Ghamisi

  • Spectral–Spatial Hyperspectral Image Classification With Edge-Preserving Filtering

    Xudong Kang;Shutao Li;Jon Atli Benediktsson

  • Hyperspectral Anomaly Detection With Attribute and Edge-Preserving Filters

    Xudong Kang;Xiangping Zhang;Shutao Li;Kenli Li

  • PCA-Based Edge-Preserving Features for Hyperspectral Image Classification

    Xudong Kang;Xuanlin Xiang;Shutao Li;Jon Atli Benediktsson

  • Spectral–Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation

    Leyuan Fang;Shutao Li;Xudong Kang;Jon Atli Benediktsson

  • Image matting for fusion of multi-focus images in dynamic scenes

    Shutao Li;Xudong Kang;Jianwen Hu;Bin Yang

  • Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering

    Xudong Kang;Shutao Li;Jon Atli Benediktsson

  • Fast multi-exposure image fusion with median filter and recursive filter

    Shutao Li;Xudong Kang

  • Regularizing Hyperspectral and Multispectral Image Fusion by CNN Denoiser

    Renwei Dian;Shutao Li;Xudong Kang

  • Spectral–Spatial Classification of Hyperspectral Images With a Superpixel-Based Discriminative Sparse Model

    Leyuan Fang;Shutao Li;Xudong Kang;Jon Atli Benediktsson

  • Intrinsic Image Decomposition for Feature Extraction of Hyperspectral Images

    Xudong Kang;Shutao Li;Leyuan Fang;Jón Atli Benediktsson

  • Spectral–Spatial Hyperspectral Image Classification Based on KNN

    Kunshan Huang;Shutao Li;Xudong Kang;Leyuan Fang

  • Hyperspectral Anomaly Detection With Kernel Isolation Forest

    Shutao Li;Kunzhong Zhang;Puhong Duan;Xudong Kang

  • Classification of Hyperspectral Images by Gabor Filtering Based Deep Network

    Xudong Kang;Chengchao Li;Shutao Li;Hui Lin

  • Extended Random Walker-Based Classification of Hyperspectral Images

    Xudong Kang;Shutao Li;Leyuan Fang;Meixiu Li

  • Hyperspectral Image Classification Via Shape-Adaptive Joint Sparse Representation

    Wei Fu;Shutao Li;Leyuan Fang;Xudong Kang

  • Interactformer: Interactive Transformer and CNN for Hyperspectral Image Super-Resolution

    Unknown

  • Self-supervised learning-based oil spill detection of hyperspectral images

    Unknown

  • Pansharpening With Matting Model

    Xudong Kang;Shutao Li;Jon Atli Benediktsson

  • Fusion of Multiple Edge-Preserving Operations for Hyperspectral Image Classification

    Puhong Duan;Xudong Kang;Shutao Li;Pedram Ghamisi

  • Fusion of Dual Spatial Information for Hyperspectral Image Classification

    Puhong Duan;Pedram Ghamisi;Xudong Kang;Behnood Rasti

Frequent Co-Authors

Shutao Li
Shutao Li Hunan University
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Pedram Ghamisi
Pedram Ghamisi Helmholtz-Zentrum Dresden-Rossendorf
Leyuan Fang
Leyuan Fang Hunan University
Jian Kang
Jian Kang University College London
Richard Gloaguen
Richard Gloaguen Helmholtz-Zentrum Dresden-Rossendorf
Antonio Plaza
Antonio Plaza University of Extremadura
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Danfeng Hong
Danfeng Hong Chinese Academy of Sciences
Joseph A. Izatt
Joseph A. Izatt Duke University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a variety of connected online degrees and career options. For those interested in advanced data analysis and AI, the best masters in data science online programs can boost your credentials and lead to roles in data analytics or machine learning.

If you prefer a managerial role in the growing construction industry, consider an accelerated online construction management degree. This path can prepare you for project oversight positions and is ideal for those looking to enter the workforce quickly.

For students seeking a broad business education, most affordable online mba programs integrate business and technology skills. These are versatile degrees that open up leadership opportunities in tech and beyond.

If time is a concern, check out options for a 1 year masters program. These accelerated offerings can fast-track your career or help you quickly pivot to new tech roles in computer science and related fields.

Best Scientists Citing Xudong Kang

Trending Scientists

Recently Published Articles