World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
90
Citations
42856
World Ranking
599
National Ranking
84

Yong Yu 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 Yong Yu sits on this spectrum.

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 publications 991+

This scientist: 436 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Yong Yu 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 Yong Yu sits on this spectrum.

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 D-Index 131+

This scientist: 90 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Yong Yu is affiliated with Shanghai Jiao Tong University in China and has contributed extensively to the field of computer science. Their work encompasses a wide range of subfields, especially in artificial intelligence and information systems, with significant publications also in computer vision and pattern recognition, management science and operations research, and computer science applications.

Their research topics include:

  • Recommender Systems and Techniques
  • Topic Modeling
  • Advanced Graph Neural Networks
  • Reinforcement Learning in Robotics
  • Online Learning and Analytics
  • Natural Language Processing Techniques
  • Advanced Bandit Algorithms Research

Yong Yu has published in numerous venues, showing a strong presence in both conferences and journals. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Access
  • ACM Transactions on Information Systems
  • IEEE Transactions on Knowledge and Data Engineering

Key recent papers by Yong Yu cover a variety of topics such as urban traffic prediction, neural machine translation, recommender systems, knowledge tracing, and optimization in mixed-integer programming. Notable papers include:

  • "Spatio-Temporal Meta Learning for Urban Traffic Prediction," 2020, IEEE Transactions on Knowledge and Data Engineering
  • "Towards Making the Most of BERT in Neural Machine Translation," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "How Can Recommender Systems Benefit from Large Language Models: A Survey," 2024, ACM Transactions on Information Systems
  • "Improving Knowledge Tracing with Collaborative Information," 2022, Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • "Learning to select cuts for efficient mixed-integer programming," 2021, Pattern Recognition

Yong Yu frequently collaborates with other researchers. Top co-authors include:

  • Weinan Zhang
  • Ruiming Tang
  • Weiwen Liu
  • Jianghao Lin
  • Xinyi Dai

The scientist's primary field is computer science, with 260 publications, reflecting a broad and deep engagement in this area.

Best Publications

  • Robust Recovery of Subspace Structures by Low-Rank Representation

    Guangcan Liu;Zhouchen Lin;Shuicheng Yan;Ju Sun

  • Seqgan: sequence generative adversarial nets with policy gradient

    Lantao Yu;Weinan Zhang;Jun Wang;Yong Yu

  • Boosting for transfer learning

    Wenyuan Dai;Qiang Yang;Gui-Rong Xue;Yong Yu

  • EigenTransfer: a unified framework for transfer learning

    Wenyuan Dai;Ou Jin;Gui-Rong Xue;Qiang Yang

  • Robust Subspace Segmentation by Low-Rank Representation

    Guangcan Liu;Zhouchen Lin;Yong Yu

  • Scalable collaborative filtering using cluster-based smoothing

    Gui-Rong Xue;Chenxi Lin;Qiang Yang;WenSi Xi

  • Wasserstein Distance Guided Representation Learning for Domain Adaptation

    Jian Shen;Yanru Qu;Weinan Zhang;Yong Yu

  • Optimizing web search using social annotations

    Shenghua Bao;Guirong Xue;Xiaoyuan Wu;Yong Yu

  • The Effect of Mandatory IFRS Adoption on Financial Analysts’ Information Environment

    Donal Byard;Ying Li;Yong Yu

  • Product-Based Neural Networks for User Response Prediction

    Yanru Qu;Han Cai;Kan Ren;Weinan Zhang

  • The Effect of Issuing Biased Earnings Forecasts on Analysts' Access to Management and Survival

    Bin Ke;Yong Yu

  • Exploring social annotations for the semantic web

    Xian Wu;Lei Zhang;Yong Yu

  • Efficient Architecture Search by Network Transformation

    Han Cai;Tianyao Chen;Weinan Zhang;Yong Yu

  • Long Text Generation via Adversarial Training with Leaked Information

    Jiaxian Guo;Sidi Lu;Han Cai;Weinan Zhang

  • Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning

    Zheyi Pan;Yuxuan Liang;Weifeng Wang;Yong Yu

  • Transferring naive bayes classifiers for text classification

    Wenyuan Dai;Gui-Rong Xue;Qiang Yang;Yong Yu

  • Texygen: A Benchmarking Platform for Text Generation Models

    Yaoming Zhu;Sidi Lu;Lei Zheng;Jiaxian Guo

  • Co-clustering based classification for out-of-domain documents

    Wenyuan Dai;Gui-Rong Xue;Qiang Yang;Yong Yu

  • Heterogeneous transfer learning for image classification

    Yin Zhu;Yuqiang Chen;Zhongqi Lu;Sinno Jialin Pan

  • Exploring folksonomy for personalized search

    Shengliang Xu;Shenghua Bao;Ben Fei;Zhong Su

  • The Effect of Mandatory IFRS Adoption on Financial Analysts’ Information Environment

    Donal Byard;Ying Li Compton;Ying Li Compton;Ying Li Compton;Yong Yu

Frequent Co-Authors

Weinan Zhang
Weinan Zhang Shanghai Jiao Tong University
Gui-Rong Xue
Gui-Rong Xue Alibaba Group (China)
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Zhong Su
Zhong Su Alibaba Group (China)
Zheng Chen
Zheng Chen Microsoft Research Asia (China)
Hua-Jun Zeng
Hua-Jun Zeng Rulai, Inc.
Guangcan Liu
Guangcan Liu Southeast University
Xiuqiang He
Xiuqiang He Huawei Technologies (China)
Hsiao-Wuen Hon
Hsiao-Wuen Hon Microsoft Research Asia (China)
Wei-Ying Ma
Wei-Ying Ma Tsinghua University

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