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Computer Science
Australia
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 73 1615 1568 46 46 351 18368

Xiuping Jia publications per year

The chart shows the history of publications by Xiuping Jia between 1993 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiuping Jia published across 33 years, from 1993 to 2025, averaging 15.3 papers a year. Output peaked at 129 publications in 2022. 27 of the 506 publications appeared in the last two years.

No. of publications
25 50 75 100 125
Bar chart. Horizontal axis: year, 1993 to 2025. Vertical axis: number of publications, 0 to 129. Peak 129 publications in 2022. 1993: 1 publication 1994: 2 publications 1995: 0 publications 1996: 0 publications 1997: 1 publication 1998: 1 publication 1999: 2 publications 2000: 2 publications 2001: 2 publications 2002: 4 publications 2003: 4 publications 2004: 1 publication 2005: 3 publications 2006: 4 publications 2007: 9 publications 2008: 10 publications 2009: 9 publications 2010: 15 publications 2011: 15 publications 2012: 16 publications 2013: 15 publications 2014: 11 publications 2015: 13 publications 2016: 22 publications 2017: 27 publications 2018: 33 publications 2019: 40 publications 2020: 14 publications 2021: 45 publications 2022: 129 publications 2023: 29 publications 2024: 12 publications 2025: 15 publications
1993 2025

506 publications in total across all disciplines

View publications per year as a table
Xiuping Jia: publications per year, 1993 to 2025
Year Publications
1993 1
1994 2
1995 0
1996 0
1997 1
1998 1
1999 2
2000 2
2001 2
2002 4
2003 4
2004 1
2005 3
2006 4
2007 9
2008 10
2009 9
2010 15
2011 15
2012 16
2013 15
2014 11
2015 13
2016 22
2017 27
2018 33
2019 40
2020 14
2021 45
2022 129
2023 29
2024 12
2025 15
Total 506
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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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 342–351 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208 351
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
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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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 72–73 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189 73
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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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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