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Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 36 788 786 261 261 73 6466
Computer Science 38 10110 9824 1259 1253 116 7392

Xiu-Shen Wei publications per year

The chart shows the history of publications by Xiu-Shen Wei between 2008 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiu-Shen Wei published across 18 years, from 2008 to 2025, averaging 7.7 papers a year. Output peaked at 23 publications in 2023. 27 of the 138 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2008 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2023. 2008: 1 publication 2009: 1 publication 2010: 0 publications 2011: 0 publications 2012: 0 publications 2013: 0 publications 2014: 1 publication 2015: 4 publications 2016: 5 publications 2017: 8 publications 2018: 5 publications 2019: 8 publications 2020: 18 publications 2021: 22 publications 2022: 15 publications 2023: 23 publications 2024: 11 publications 2025: 16 publications
2008 2025

138 publications in total across all disciplines

View publications per year as a table
Xiu-Shen Wei: publications per year, 2008 to 2025
Year Publications
2008 1
2009 1
2010 0
2011 0
2012 0
2013 0
2014 1
2015 4
2016 5
2017 8
2018 5
2019 8
2020 18
2021 22
2022 15
2023 23
2024 11
2025 16
Total 138
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Xiu-Shen Wei 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 Xiu-Shen Wei 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, 112–121 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: 116 publications — 13th percentile

13% 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
112–121 497 116
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
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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Xiu-Shen Wei 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 Xiu-Shen Wei 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, 38–39 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: 38 D-Index — 30th percentile

30% 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 38
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
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 Rising Stars Award

Overview

Xiu-Shen Wei is affiliated with Southeast University in China and has a research focus within the field of Computer Science. Their scholarly activity primarily centers on the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Industrial and Manufacturing Engineering, and Electrical and Electronic Engineering.

The scientist has contributed extensively to topics including:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Machine Learning and Data Classification
  • Multimodal Machine Learning Applications
  • Video Surveillance and Tracking Methods
  • Image Retrieval and Classification Techniques

Their publication record includes research outputs in frequent venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Image Processing
  • International Journal of Computer Vision

Some recent papers authored or co-authored by Xiu-Shen Wei include:

  • Delving deep into spatial pooling for squeeze-and-excitation networks, 2021, Pattern Recognition
  • Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Learning Semantically Enhanced Feature for Fine-Grained Image Classification, 2020, IEEE Signal Processing Letters
  • Structure-aware human pose estimation with graph convolutional networks, 2020, Pattern Recognition
  • Learning Graph Convolutional Networks for Multi-Label Recognition and Applications, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

Xiu-Shen Wei has frequently collaborated with several co-authors, including:

  • Yazhou Yao
  • Peng Wang
  • Yuxin Peng
  • Yang Shen
  • Jianxin Wu

In addition to journal and conference papers, Xiu-Shen Wei has contributed to book publications. One such example is the book titled Fine-Grained Image Analysis: Modern Approaches, published in 2023 by Morgan & Claypool Publishers.

Best Publications

  • Multi-Label Image Recognition With Graph Convolutional Networks

    Zhao-Min Chen;Xiu-Shen Wei;Peng Wang;Yanwen Guo

  • BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition

    Boyan Zhou;Quan Cui;Xiu-Shen Wei;Zhao-Min Chen

  • Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval

    Xiu-Shen Wei;Jian-Hao Luo;Jianxin Wu;Zhi-Hua Zhou

  • Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation

    Yu Chen;Chunhua Shen;Xiu-Shen Wei;Lingqiao Liu

  • Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization

    Xiu-Shen Wei;Chen-Wei Xie;Jianxin Wu;Chunhua Shen

  • Exploring Categorical Regularization for Domain Adaptive Object Detection

    Chang-Dong Xu;Xing-Ran Zhao;Xin Jin;Xiu-Shen Wei

  • Fine-Grained Image Analysis with Deep Learning: A Survey

    Xiu-Shen Wei;Yi-Zhe Song;Oisin Mac Aodha;Jianxin Wu

  • Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification

    Peng Wang;Kai Han;Xiu-Shen Wei;Lei Zhang

  • Delving deep into spatial pooling for squeeze-and-excitation networks

    Xin Jin;Yanping Xie;Xiu-Shen Wei;Xiu-Shen Wei;Bo-Rui Zhao

  • Weakly Supervised Fine-Grained Categorization With Part-Based Image Representation

    Yu Zhang;Xiu-Shen Wei;Jianxin Wu;Jianfei Cai

  • Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples

    Xiu-Shen Wei;Peng Wang;Lingqiao Liu;Chunhua Shen

  • Scalable Algorithms for Multi-Instance Learning

    Xiu-Shen Wei;Jianxin Wu;Zhi-Hua Zhou

  • Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition

    Xiu-Shen Wei;Chen-Wei Xie;Jianxin Wu

  • RPC: A Large-Scale Retail Product Checkout Dataset.

    Xiu-Shen Wei;Quan Cui;Lei Yang;Peng Wang

  • Deep Label Distribution Learning for Apparent Age Estimation

    Xu Yang;Bin-Bin Gao;Chao Xing;Zeng-Wei Huo

  • Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks.

    Yongshun Zhang;Xiu-Shen Wei;Boyan Zhou;Jianxin Wu

  • Unsupervised object discovery and co-localization by deep descriptor transformation

    Xiu-Shen Wei;Chen-Lin Zhang;Jianxin Wu;Chunhua Shen

  • Deep Bimodal Regression for Apparent Personality Analysis

    Chen-Lin Zhang;Hao Zhang;Xiu-Shen Wei;Jianxin Wu

  • Learning Semantically Enhanced Feature for Fine-Grained Image Classification

    Wei Luo;Hengmin Zhang;Jun Li;Xiu-Shen Wei

  • Weakly Supervised Fine-Grained Image Categorization

    Yu Zhang;Xiu-Shen Wei;Jianxin Wu;Jianfei Cai

  • Learning Graph Convolutional Networks for Multi-Label Recognition and Applications

    Zhaomin Chen;Xiu Shen Wei;Peng Wang;Yanwen Guo

  • Structure-aware human pose estimation with graph convolutional networks

    Yanrui Bin;Zhao-Min Chen;Xiu-Shen Wei;Xinya Chen

  • Deep Age Distribution Learning for Apparent Age Estimation

    Zengwei Huo;Xu Yang;Chao Xing;Ying Zhou

Frequent Co-Authors

Jianxin Wu
Jianxin Wu Nanjing University
Chunhua Shen
Chunhua Shen Zhejiang University
Zhi-Hua Zhou
Zhi-Hua Zhou Nanjing University
Yazhou Yao
Yazhou Yao Nanjing University of Science and Technology
Lingqiao Liu
Lingqiao Liu University of Adelaide
Jian Zhang
Jian Zhang University of Technology Sydney
Jian Yang
Jian Yang University of Birmingham
Fumin Shen
Fumin Shen University of Electronic Science and Technology of China
Jianfei Cai
Jianfei Cai Monash University
Serge Belongie
Serge Belongie University of Copenhagen

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