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Shu Wu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 39 9609 9333 1214 1208 188 8370

Shu Wu publications per year

The chart shows the history of publications by Shu Wu between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Shu Wu published across 23 years, from 2003 to 2025, averaging 11.3 papers a year. Output peaked at 47 publications in 2023. 59 of the 260 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 47. Peak 47 publications in 2023. 2003: 1 publication 2004: 1 publication 2005: 0 publications 2006: 0 publications 2007: 0 publications 2008: 1 publication 2009: 0 publications 2010: 2 publications 2011: 5 publications 2012: 5 publications 2013: 3 publications 2014: 2 publications 2015: 12 publications 2016: 16 publications 2017: 13 publications 2018: 4 publications 2019: 15 publications 2020: 20 publications 2021: 31 publications 2022: 23 publications 2023: 47 publications 2024: 37 publications 2025: 22 publications
2003 2025

260 publications in total across all disciplines

View publications per year as a table
Shu Wu: publications per year, 2003 to 2025
Year Publications
2003 1
2004 1
2005 0
2006 0
2007 0
2008 1
2009 0
2010 2
2011 5
2012 5
2013 3
2014 2
2015 12
2016 16
2017 13
2018 4
2019 15
2020 20
2021 31
2022 23
2023 47
2024 37
2025 22
Total 260
Download as CSV

Shu Wu 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 Shu Wu 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, 182–191 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: 188 publications — 42nd percentile

42% 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
182–191 583 188
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
Download as CSV

Shu Wu 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 Shu Wu 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: 39 D-Index — 33rd percentile

33% 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 39
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
Download as CSV

Overview

Shu Wu is affiliated with the Chinese Academy of Sciences in China and has an extensive publication record primarily in the field of computer science, with a focus on artificial intelligence and related disciplines.

Their research spans multiple subfields, including artificial intelligence, information systems, computer vision and pattern recognition, sociology and political science, and statistical and nonlinear physics.

Shu Wu's contributions cover a variety of main topics such as:

  • Advanced Graph Neural Networks
  • Topic Modeling
  • Recommender Systems and Techniques
  • Misinformation and Its Impacts
  • Domain Adaptation and Few-Shot Learning
  • Complex Network Analysis Techniques
  • Natural Language Processing Techniques

Notable recent papers by Shu Wu include:

  • Deep Graph Contrastive Representation Learning, 2020, arXiv (Cornell University)
  • Dynamic Graph Neural Networks for Sequential Recommendation, 2022, IEEE Transactions on Knowledge and Data Engineering
  • Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation, 2022, IEEE Transactions on Knowledge and Data Engineering
  • Evidence-aware Fake News Detection with Graph Neural Networks, 2022, Proceedings of the ACM Web Conference 2022
  • Independence Promoted Graph Disentangled Networks, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Their frequent coauthors include Liang Wang, Qiang Liu, Yanqiao Zhu, Zeyu Cui, and Mengqi Zhang.

Shu Wu's work has been published in several venues repeatedly, with a particular focus on:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Pattern Recognition
  • Machine Intelligence Research

With over 200 publications, Shu Wu's research integrates areas such as graph neural networks, recommendation systems, misinformation detection, and computational techniques for complex networks and domain adaptation. Their scholarly output contributes to evolving methods and understanding within artificial intelligence and computer science broadly.

Best Publications

  • Session-Based Recommendation with Graph Neural Networks

    Shu Wu;Yuyuan Tang;Yanqiao Zhu;Liang Wang

  • Predicting the next location: a recurrent model with spatial and temporal contexts

    Qiang Liu;Shu Wu;Liang Wang;Tieniu Tan

  • Graph Contrastive Learning with Adaptive Augmentation

    Yanqiao Zhu;Yichen Xu;Feng Yu;Qiang Liu

  • A Dynamic Recurrent Model for Next Basket Recommendation

    Feng Yu;Qiang Liu;Shu Wu;Liang Wang

  • A convolutional approach for misinformation identification

    Feng Yu;Qiang Liu;Shu Wu;Liang Wang

  • Deep Graph Contrastive Representation Learning.

    Yanqiao Zhu;Yichen Xu;Feng Yu;Qiang Liu

  • Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks

    Yufeng Zhang;Xueli Yu;Zeyu Cui;Shu Wu

  • A Comprehensive Survey on Cross-modal Retrieval

    Kaiye Wang;Qiyue Yin;Wei Wang;Shu Wu

  • Mining Latent Structures for Multimedia Recommendation

    Jinghao Zhang;Yanqiao Zhu;Qiang Liu;Shu Wu

  • Mining Latent Structures for Multimedia Recommendation

    Jinghao Zhang;Yanqiao Zhu;Qiang Liu;Shu Wu

  • Context-Aware Sequential Recommendation

    Qiang Liu;Shu Wu;Diyi Wang;Zhaokang Li

  • Dynamic Graph Neural Networks for Sequential Recommendation.

    Mengqi Zhang;Shu Wu;Xueli Yu;Liang Wang

  • TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation

    Feng Yu;Yanqiao Zhu;Qiang Liu;Shu Wu

  • Information-Theoretic Outlier Detection for Large-Scale Categorical Data

    Shu Wu;Shengrui Wang

  • MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation

    Qiang Cui;Shu Wu;Qiang Liu;Wen Zhong

  • Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction

    Zekun Li;Zeyu Cui;Shu Wu;Xiaoyu Zhang

  • Graph Contrastive Learning with Adaptive Augmentation

    Yanqiao Zhu;Yichen Xu;Feng Yu;Qiang Liu

  • DeepStyle: Learning User Preferences for Visual Recommendation

    Qiang Liu;Shu Wu;Liang Wang

  • A Convolutional Click Prediction Model

    Qiang Liu;Feng Yu;Shu Wu;Liang Wang

  • Multi-view clustering via pairwise sparse subspace representation

    Qiyue Yin;Shu Wu;Ran He;Liang Wang

  • Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification.

    Fenyu Hu;Yanqiao Zhu;Shu Wu;Liang Wang

  • Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation

    Unknown

  • Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks

    Zeyu Cui;Zekun Li;Shu Wu;Xiao-Yu Zhang

  • Unified subspace learning for incomplete and unlabeled multi-view data

    Qiyue Yin;Shu Wu;Liang Wang

  • Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model

    Qiang Liu;Shu Wu;Liang Wang

  • Dynamic Graph Collaborative Filtering

    Xiaohan Li;Mengqi Zhang;Shu Wu;Zheng Liu

  • Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction

    Zekun Li;Zeyu Cui;Shu Wu;Xiaoyu Zhang

Frequent Co-Authors

Liang Wang
Liang Wang Chinese Academy of Sciences
Tieniu Tan
Tieniu Tan Chinese Academy of Sciences
Daqing Zhang
Daqing Zhang Peking University
Xing Xie
Xing Xie Microsoft Research Asia (China)
Ran He
Ran He Chinese Academy of Sciences
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Shuhui Wang
Shuhui Wang Chinese Academy of Sciences
Ke Xu
Ke Xu Beihang University
Yongzhen Huang
Yongzhen Huang Chinese Academy of Sciences
Yan Huang
Yan Huang Chinese Academy of Sciences

External Links

Personal website of Shu Wu

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Best Scientists Citing Shu Wu

Xiangnan He

Xiangnan He

University of Science and Technology of China

Publications: 32

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 26

Yong Li

Yong Li

Tsinghua University

Publications: 21

Hongzhi Yin

Hongzhi Yin

University of Queensland

Publications: 21

Wayne Xin Zhao

Wayne Xin Zhao

Renmin University of China

Publications: 17

Xiuqiang He

Xiuqiang He

Huawei Technologies (China)

Publications: 17

Enhong Chen

Enhong Chen

University of Science and Technology of China

Publications: 15

Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

Publications: 14

Longbing Cao

Longbing Cao

University of Technology Sydney

Publications: 13

Zi Huang

Zi Huang

University of Queensland

Publications: 13

Hui Xiong

Hui Xiong

Rutgers, The State University of New Jersey

Publications: 13

Maarten de Rijke

Maarten de Rijke

University of Amsterdam

Publications: 12

Weinan Zhang

Weinan Zhang

Shanghai Jiao Tong University

Publications: 12

Dietmar Jannach

Dietmar Jannach

University of Klagenfurt

Publications: 11

Yan Wang

Yan Wang

Macquarie University

Publications: 11

Depeng Jin

Depeng Jin

Tsinghua University

Publications: 10

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