World's Best Scientists 2026 revealed!
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Xiao Xiang Zhu
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Computer Science
Germany
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 77 1266 1225 50 50 691 24672

Xiao Xiang Zhu publications per year

The chart shows the history of publications by Xiao Xiang Zhu between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiao Xiang Zhu published across 32 years, from 1994 to 2025, averaging 30.4 papers a year. Output peaked at 150 publications in 2023. 167 of the 972 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 150. Peak 150 publications in 2023. 1994: 1 publication 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 1 publication 2006: 1 publication 2007: 3 publications 2008: 8 publications 2009: 14 publications 2010: 8 publications 2011: 20 publications 2012: 18 publications 2013: 23 publications 2014: 19 publications 2015: 34 publications 2016: 49 publications 2017: 41 publications 2018: 70 publications 2019: 55 publications 2020: 73 publications 2021: 108 publications 2022: 109 publications 2023: 150 publications 2024: 94 publications 2025: 73 publications
1994 2025

972 publications in total across all disciplines

View publications per year as a table
Xiao Xiang Zhu: publications per year, 1994 to 2025
Year Publications
1994 1
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 1
2006 1
2007 3
2008 8
2009 14
2010 8
2011 20
2012 18
2013 23
2014 19
2015 34
2016 49
2017 41
2018 70
2019 55
2020 73
2021 108
2022 109
2023 150
2024 94
2025 73
Total 972
Download as CSV

Xiao Xiang Zhu 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 Xiao Xiang Zhu 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, 682–691 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: 691 publications — 98th percentile

98% 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
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 14 691
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
Download as CSV

Xiao Xiang Zhu 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 Xiao Xiang Zhu 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, 76–77 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: 77 D-Index — 91st percentile

91% 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
74–75 165
76–77 139 77
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
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award
  • 2021 - IEEE Fellow For contributions to artificial intelligence and data science in Earth observation and global urban mapping

Overview

Xiao Xiang Zhu is affiliated with the Technical University of Munich in Germany. Their research spans multiple areas within computer science and engineering, with a strong focus on remote sensing and artificial intelligence.

Their recent publications highlight a diverse engagement with topics related to deep learning, remote sensing imagery, and data fusion techniques. Notable works include:

  • A survey of uncertainty in deep neural networks, 2023, Artificial Intelligence Review
  • Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks, 2023, Remote Sensing of Environment
  • Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives, 2021, IEEE Geoscience and Remote Sensing Magazine

Xiao Xiang Zhu has collaborated frequently with several researchers, including:

  • Lichao Mou
  • Yilei Shi
  • Sudipan Saha
  • Zhitong Xiong
  • Björn Lütjens

They have published extensively in prominent venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Geoscience and Remote Sensing
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
  • ISPRS Journal of Photogrammetry and Remote Sensing

Their main fields of study are computer science and engineering, with a specialization in various subfields including:

  • Computer Vision and Pattern Recognition
  • Media Technology
  • Artificial Intelligence
  • Atmospheric Science
  • Global and Planetary Change

The primary research topics covered by their work include:

  • Remote-Sensing Image Classification
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Remote Sensing and Land Use
  • Advanced Image Fusion Techniques

In 2021, Xiao Xiang Zhu was recognized as an IEEE Fellow for contributions to artificial intelligence and data science in Earth observation and global urban mapping.

Best Publications

  • Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • Deep learning in remote sensing: a review

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • Deep Recurrent Neural Networks for Hyperspectral Image Classification

    Unknown

  • A Survey of Uncertainty in Deep Neural Networks.

    Jakob Gawlikowski;Cedrique Rovile Njieutcheu Tassi;Mohsin Ali;Jongseok Lee

  • An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

    Danfeng Hong;Naoto Yokoya;Jocelyn Chanussot;Xiao Xiang Zhu

  • Tomographic SAR Inversion by $L_{1}$ -Norm Regularization—The Compressive Sensing Approach

    Xiao Xiang Zhu;Richard Bamler

  • Very High Resolution Spaceborne SAR Tomography in Urban Environment

    Xiao Xiang Zhu;Richard Bamler

  • A Sparse Image Fusion Algorithm With Application to Pan-Sharpening

    Xiao Xiang Zhu;Richard Bamler

  • Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks

    Unknown

  • Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion.

    Andrea Meraner;Patrick Ebel;Xiao Xiang Zhu;Xiao Xiang Zhu;Michael Schmitt

  • Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery

    Lichao Mou;Lorenzo Bruzzone;Xiao Xiang Zhu

  • Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SAR

    Xiao Xiang Zhu;Richard Bamler

  • Building instance classification using street view images

    Jian Kang;Marco Körner;Yuanyuan Wang;Hannes Taubenböck

  • Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation

    Yuxing Xie;Jiaojiao Tian;Xiao Xiang Zhu

  • Self-Supervised Learning in Remote Sensing: A review

    Unknown

  • Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks

    Michael Wurm;Thomas Stark;Xiao Xiang Zhu;Xiao Xiang Zhu;Matthias Weigand;Matthias Weigand

  • SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION

    Michael Schmitt;Lloyd Haydn Hughes;Chunping Qiu;Xiao Xiang Zhu;Xiao Xiang Zhu

  • Data Fusion and Remote Sensing: An ever-growing relationship

    Michael Schmitt;Xiao Xiang Zhu

  • Unsupervised Spectral–Spatial Feature Learning via Deep Residual Conv–Deconv Network for Hyperspectral Image Classification

    Lichao Mou;Pedram Ghamisi;Xiao Xiang Zhu

  • Deep Learning Meets SAR: Concepts, Models, Pitfalls, and Perspectives

    Xiaoxiang Zhu;Sina Montazeri;Mohsin Ali;Yuansheng Hua

  • THE SEN1-2 DATASET FOR DEEP LEARNING IN SAR-OPTICAL DATA FUSION

    Michael Schmitt;Lloyd Haydn Hughes;Xiao Xiang Zhu;Xiao Xiang Zhu

  • Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model.

    Danfeng Hong;Jingliang Hu;Jing Yao;Jocelyn Chanussot;Jocelyn Chanussot

  • Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification

    Danfeng Hong;Naoto Yokoya;Nan Ge;Jocelyn Chanussot

  • Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification

    Lichao Mou;Xiaoqiang Lu;Xuelong Li;Xiao Xiang Zhu

  • Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural Network

    Pedram Ghamisi;Bernhard Hofle;Xiao Xiang Zhu

  • Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery

    Lichao Mou;Lorenzo Bruzzone;Xiao Xiang Zhu

  • Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

    Danfeng Hong;Xin Wu;Pedram Ghamisi;Jocelyn Chanussot

  • A Review of Point Cloud Semantic Segmentation

    Yuxing Xie;Jiaojiao Tian;Xiao Xiang Zhu

Frequent Co-Authors

Richard Bamler
Richard Bamler German Aerospace Center
Lichao Mou
Lichao Mou Technical University of Munich
Danfeng Hong
Danfeng Hong Chinese Academy of Sciences
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Naoto Yokoya
Naoto Yokoya University of Tokyo
Jian Kang
Jian Kang University College London
Pedram Ghamisi
Pedram Ghamisi Helmholtz-Zentrum Dresden-Rossendorf
Hannes Taubenböck
Hannes Taubenböck German Aerospace Center
Michael Eineder
Michael Eineder German Aerospace Center
Peter Reinartz
Peter Reinartz German Aerospace Center

External Links

Personal website of Xiao Xiang Zhu Google Scholar page

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Best Scientists Citing Xiao Xiang Zhu

Jocelyn Chanussot

Jocelyn Chanussot

Grenoble Alpes University

Publications: 64

Pedram Ghamisi

Pedram Ghamisi

Helmholtz-Zentrum Dresden-Rossendorf

Publications: 61

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 42

Danfeng Hong

Danfeng Hong

Chinese Academy of Sciences

Publications: 33

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 31

Gianfranco Fornaro

Gianfranco Fornaro

National Research Council (CNR)

Publications: 31

Devis Tuia

Devis Tuia

École Polytechnique Fédérale de Lausanne

Publications: 29

Naoto Yokoya

Naoto Yokoya

University of Tokyo

Publications: 26

Uwe Stilla

Uwe Stilla

Technical University of Munich

Publications: 26

Wei Li

Wei Li

Beijing Institute of Technology

Publications: 25

Qian Du

Qian Du

Mississippi State University

Publications: 25

Shutao Li

Shutao Li

Hunan University

Publications: 25

Jon Atli Benediktsson

Jon Atli Benediktsson

University of Iceland

Publications: 24

Antonio Plaza

Antonio Plaza

University of Extremadura

Publications: 23

Hannes Taubenböck

Hannes Taubenböck

German Aerospace Center

Publications: 21

Huanfeng Shen

Huanfeng Shen

Wuhan University

Publications: 21

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