World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 63 2746 2664 374 371 267 16709

Shiming Xiang publications per year

The chart shows the history of publications by Shiming Xiang between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Shiming Xiang published across 21 years, from 2005 to 2025, averaging 15.5 papers a year. Output peaked at 38 publications in 2024. 57 of the 325 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 38. Peak 38 publications in 2024. 2005: 1 publication 2006: 4 publications 2007: 8 publications 2008: 8 publications 2009: 11 publications 2010: 5 publications 2011: 10 publications 2012: 11 publications 2013: 19 publications 2014: 15 publications 2015: 19 publications 2016: 13 publications 2017: 18 publications 2018: 17 publications 2019: 26 publications 2020: 13 publications 2021: 25 publications 2022: 22 publications 2023: 23 publications 2024: 38 publications 2025: 19 publications
2005 2025

325 publications in total across all disciplines

View publications per year as a table
Shiming Xiang: publications per year, 2005 to 2025
Year Publications
2005 1
2006 4
2007 8
2008 8
2009 11
2010 5
2011 10
2012 11
2013 19
2014 15
2015 19
2016 13
2017 18
2018 17
2019 26
2020 13
2021 25
2022 22
2023 23
2024 38
2025 19
Total 325
Download as CSV

Shiming Xiang 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 Shiming Xiang 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, 262–271 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: 267 publications — 67th percentile

67% 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
262–271 301 267
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
Download as CSV

Shiming Xiang 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 Shiming Xiang 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, 62–63 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: 63 D-Index — 81st percentile

81% 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 63
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
Download as CSV

Overview

Shiming Xiang is affiliated with the Chinese Academy of Sciences in China and has an extensive publication record primarily in computer science and engineering. Their research encompasses several specialized areas with a focus on computer vision, artificial intelligence, and signal processing.

Their recent publications include the following papers:

  • "Spatio-Temporal Graph Structure Learning for Traffic Forecasting," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review," 2024, Remote Sensing
  • "Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction," 2021, Neurocomputing
  • "CAN," 2022, Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • "Pro-Tuning: Unified Prompt Tuning for Vision Tasks," 2023, IEEE Transactions on Circuits and Systems for Video Technology

The scientist collaborates frequently with several co-authors, including:

  • Chunhong Pan
  • Gaofeng Meng
  • Bolin Ni
  • Chunxia Zhang
  • Chunlei Huo

Shiming Xiang's work has been published notably in venues such as:

  • arXiv (Cornell University)
  • Neurocomputing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Geoscience and Remote Sensing Letters
  • Remote Sensing

The main fields of study are:

  • Computer Science
  • Engineering

Subfields of study within these disciplines include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Signal Processing
  • Atmospheric Science

The core research topics covered by Shiming Xiang involve:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Traffic Prediction and Management Techniques
  • Remote-Sensing Image Classification
  • Advanced Image Processing Techniques

Best Publications

  • Efficient Image Dehazing with Boundary Constraint and Contextual Regularization

    Gaofeng Meng;Ying Wang;Jiangyong Duan;Shiming Xiang

  • Relation-Shape Convolutional Neural Network for Point Cloud Analysis

    Yongcheng Liu;Bin Fan;Shiming Xiang;Chunhong Pan

  • Learning a Mahalanobis distance metric for data clustering and classification

    Shiming Xiang;Feiping Nie;Changshui Zhang

  • Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

    Xueyun Chen;Shiming Xiang;Cheng-Lin Liu;Chun-Hong Pan

  • Face detection based on multi-block LBP representation

    Lun Zhang;Rufeng Chu;Shiming Xiang;Shengcai Liao

  • AugFPN: Improving Multi-Scale Feature Learning for Object Detection

    Chaoxu Guo;Bin Fan;Qian Zhang;Shiming Xiang

  • Deep Adaptive Image Clustering

    Jianlong Chang;Lingfeng Wang;Gaofeng Meng;Shiming Xiang

  • Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

    Shiming Xiang;Feiping Nie;Gaofeng Meng;Chunhong Pan

  • Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network

    Guangliang Cheng;Ying Wang;Shibiao Xu;Hongzhen Wang

  • Trace ratio criterion for feature selection

    Feiping Nie;Shiming Xiang;Yangqing Jia;Changshui Zhang

  • DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing

    Yongcheng Liu;Bin Fan;Gaofeng Meng;Jiwen Lu

  • Spectral Unmixing via Data-Guided Sparsity

    Feiyun Zhu;Ying Wang;Bin Fan;Shiming Xiang

  • Semantic labeling in very high resolution images via a self-cascaded convolutional neural network

    Yongcheng Liu;Bin Fan;Lingfeng Wang;Jun Bai

  • Structured Sparse Method for Hyperspectral Unmixing

    Feiyun Zhu;Ying Wang;Shiming Xiang;Bin Fan

  • Learning Consistent Feature Representation for Cross-Modal Multimedia Retrieval

    Cuicui Kang;Shiming Xiang;Shengcai Liao;Changsheng Xu

  • Spatio-Temporal Graph Structure Learning for Traffic Forecasting

    Qi Zhang;Jianlong Chang;Gaofeng Meng;Shiming Xiang

  • A unified framework for semi-supervised dimensionality reduction

    Yangqiu Song;Feiping Nie;Changshui Zhang;Shiming Xiang

  • Gated Convolutional Neural Network for Semantic Segmentation in High-Resolution Images

    Hongzhen Wang;Ying Wang;Qian Zhang;Shiming Xiang

  • Edge-Directed Single-Image Super-Resolution Via Adaptive Gradient Magnitude Self-Interpolation

    Lingfeng Wang;Shiming Xiang;Gaofeng Meng;Huaiyu Wu

  • GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction.

    Shen Fang;Qi Zhang;Gaofeng Meng;Shiming Xiang

  • Data guided Sparse Method for Hyperspectral Unmixing.

    Feiyun Zhu;Ying Wang;Gaofeng Meng;Bin Fan

Frequent Co-Authors

Chunhong Pan
Chunhong Pan Chinese Academy of Sciences
Gaofeng Meng
Gaofeng Meng Chinese Academy of Sciences
Changshui Zhang
Changshui Zhang Tsinghua University
Feiping Nie
Feiping Nie Northwestern Polytechnical University
Bin Fan
Bin Fan Carnegie Mellon University
Yangqiu Song
Yangqiu Song Hong Kong University of Science and Technology
Shengcai Liao
Shengcai Liao United Arab Emirates University
Cheng-Lin Liu
Cheng-Lin Liu Chinese Academy of Sciences
Stan Z. Li
Stan Z. Li Westlake University
Pascal Fua
Pascal Fua École Polytechnique Fédérale de Lausanne

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 up a wealth of online education options and career pathways. Many students consider combining technical skills with business acumen. If you’re interested in leadership roles, earning an online mba cheap can help you gain management expertise without a hefty price tag.

For those looking to advance quickly, several one year graduate programs in tech- and business-related fields provide intensive, fast-track learning experiences. They offer a quick way to upskill and increase employability.

Speed and affordability are also key for many students. If you want to enter the workforce fast, you may want to explore the fastest degree to get online, many of which are offered by reputable institutions and lead to well-paid roles.

As artificial intelligence grows in importance across industries, pursuing the best online master's in artificial intelligence is a strategic move for future-focused candidates seeking advanced, affordable, and flexible learning options.

Best Scientists Citing Shiming Xiang

Trending Scientists

Recently Published Articles