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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
18368
World Ranking
1615
National Ranking
46

Xiuping Jia 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 Xiuping Jia 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: 351 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Xiuping Jia 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 Xiuping Jia 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: 73 D-Index — 89th percentile

89% 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 Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2021 - IEEE Fellow For contributions to feature mining and classification of hyperspectral images

Overview

Xiuping Jia is affiliated with the University of New South Wales in Australia and has a significant research presence in the fields of Engineering and Computer Science. Their research contributions span various subfields including Media Technology, Computer Vision and Pattern Recognition, Atmospheric Science, Artificial Intelligence, and Ecology.

The scientist's work primarily focuses on topics such as Remote-Sensing Image Classification, Advanced Image Fusion Techniques, Remote Sensing and Land Use, Advanced Image and Video Retrieval Techniques, Advanced Neural Network Applications, Image and Signal Denoising Methods, and Remote Sensing in Agriculture.

Jia has published numerous papers across multiple prestigious venues. Frequent publication locations include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • arXiv (Cornell University)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • IEEE Transactions on Image Processing
  • Remote Sensing

Among recent publications, several papers illustrate their focus on remote sensing and image processing:

  • "SpectralGPT: Spectral Remote Sensing Foundation Model," 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery," 2021, ISPRS Journal of Photogrammetry and Remote Sensing
  • "X-Shaped Interactive Autoencoders With Cross-Modality Mutual Learning for Unsupervised Hyperspectral Image Super-Resolution," 2023, IEEE Transactions on Geoscience and Remote Sensing
  • "Enhanced Autoencoders With Attention-Embedded Degradation Learning for Unsupervised Hyperspectral Image Super-Resolution," 2023, IEEE Transactions on Geoscience and Remote Sensing
  • "Hyperspectral Image Classification With Multi-Attention Transformer and Adaptive Superpixel Segmentation-Based Active Learning," 2023, IEEE Transactions on Image Processing

Jia has collaborated extensively with several coauthors, including:

  • Aizhu Zhang
  • Genyun Sun
  • Jocelyn Chanussot
  • Sen Jia
  • Jinchang Ren

In addition to journal articles, Jia has contributed to book publications, including a volume published by SPIE titled "Field Guide to Hyperspectral/Multispectral Image Processing" in 2022.

Recognition of Jia's work includes the IEEE Fellow award received in 2021 for contributions to feature mining and classification of hyperspectral images.

Best Publications

  • Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

    Yushi Chen;Hanlu Jiang;Chunyang Li;Xiuping Jia

  • Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network

    Yushi Chen;Xing Zhao;Xiuping Jia

  • Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification

    Xiuping Jia;J.A. Richards

  • Feature Mining for Hyperspectral Image Classification

    Xiuping Jia;Bor-Chen Kuo;M. M. Crawford

  • Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network

    Yushi Chen;Lin Zhu;Pedram Ghamisi;Xiuping Jia

  • Nonlinear Multiple Kernel Learning With Multiple-Structure-Element Extended Morphological Profiles for Hyperspectral Image Classification

    Yanfeng Gu;Tianzhu Liu;Xiuping Jia;Jon Atli Benediktsson

  • Multiple Kernel Learning for Hyperspectral Image Classification: A Review

    Yanfeng Gu;Jocelyn Chanussot;Xiuping Jia;Jon Atli Benediktsson

  • Deep Fusion of Remote Sensing Data for Accurate Classification

    Yushi Chen;Chunyang Li;Pedram Ghamisi;Xiuping Jia

  • Adaptive Markov Random Field Approach for Classification of Hyperspectral Imagery

    Bing Zhang;Shanshan Li;Xiuping Jia;Lianru Gao

  • Efficient maximum likelihood classification for imaging spectrometer data sets

    Xiuping Jia;J.A. Richards

  • Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning

    Qishuo Gao;Samsung Lim;Xiuping Jia

  • Foreword to the Special Issue on Spectral Unmixing of Remotely Sensed Data

    Antonio Plaza;Qian Du;José M. Bioucas-Dias;Xiuping Jia

  • Enhanced Autoencoders With Attention-Embedded Degradation Learning for Unsupervised Hyperspectral Image Super-Resolution

    Unknown

  • Hyperspectral Image Classification With Multi-Attention Transformer and Adaptive Superpixel Segmentation-Based Active Learning

    Unknown

  • X-Shaped Interactive Autoencoders With Cross-Modality Mutual Learning for Unsupervised Hyperspectral Image Super-Resolution

    Unknown

  • Graph-in-Graph Convolutional Network for Hyperspectral Image Classification.

    Unknown

  • An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery

    Xuan Yang;Shanshan Li;Zhengchao Chen;Jocelyn Chanussot

  • Deep Learning Ensemble for Hyperspectral Image Classification

    Yushi Chen;Ying Wang;Yanfeng Gu;Xin He

  • Remote Sensing Image Super-Resolution Using Novel Dense-Sampling Networks

    Xiaoyu Dong;Xu Sun;Xiuping Jia;Zhihong Xi

  • Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review

    Unknown

  • Integration of Soft and Hard Classifications Using Extended Support Vector Machines

    Liguo Wang;Xiuping Jia

  • A Novel MKL Model of Integrating LiDAR Data and MSI for Urban Area Classification

    Yanfeng Gu;Qingwang Wang;Xiuping Jia;Jon Atli Benediktsson

  • A Novel Semisupervised Active-Learning Algorithm for Hyperspectral Image Classification

    Zengmao Wang;Bo Du;Lefei Zhang;Liangpei Zhang

  • A comparison of information value and logistic regression models in landslide susceptibility mapping by using GIS

    Tao Chen;Ruiqing Niu;Xiuping Jia

  • Cloud Removal Based on Sparse Representation via Multitemporal Dictionary Learning

    Meng Xu;Xiuping Jia;Mark R. Pickering;Antonio J. Plaza

  • Collinearity and orthogonality of endmembers in linear spectral unmixing

    Freek D. Van der Meer;Xiuping Jia

Frequent Co-Authors

Jiankun Hu
Jiankun Hu University of New South Wales
Jun Zhou
Jun Zhou Griffith University
Sen Jia
Sen Jia Shenzhen University
Jinchang Ren
Jinchang Ren Robert Gordon University
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Ngaiming Kwok
Ngaiming Kwok University of New South Wales
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Yanfeng Gu
Yanfeng Gu Harbin Institute of Technology
Qingquan Li
Qingquan Li Shenzhen University
Antonio Plaza
Antonio Plaza University of Extremadura

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