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2025

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Rising Stars

D-Index
45
Citations
14586
World Ranking
434
National Ranking
148

Computer Science

D-Index
45
Citations
16285
World Ranking
7003
National Ranking
936

Duyu Tang 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 Duyu Tang 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: 96 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Duyu Tang 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 Duyu Tang 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: 45 D-Index — 51st percentile

51% 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

  • 2025 - Research.com Rising Stars Award

Overview

Duyu Tang is affiliated with Fudan University in China and has contributed extensively to the field of Computer Science with a focus on Artificial Intelligence. Their research spans multiple subfields including Computer Vision and Pattern Recognition, Information Systems, Molecular Biology, and Software.

The scientist's prominent topics of work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Software Engineering Research
  • Text Readability and Simplification
  • Advanced Graph Neural Networks
  • Software Testing and Debugging Techniques

Duyu Tang has frequently published in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Findings of the Association for Computational Linguistics: ACL 2022
  • Nature Machine Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)

Some recent papers by Duyu Tang include:

  • scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data (2022), published in Nature Machine Intelligence
  • CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation (2021), published in arXiv (Cornell University)
  • CodeBERT: A Pre-Trained Model for Programming and Natural Languages (2020), published in arXiv (Cornell University)
  • CodeBLEU: a Method for Automatic Evaluation of Code Synthesis (2020), published in arXiv (Cornell University)
  • Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators include Nan Duan, Xiaocheng Feng, Daxin Jiang, Ming Zhou, and Bing Qin. Their collaborations highlight a network of researchers involved in similar fields and joint projects.

Best Publications

  • CodeBERT: A Pre-Trained Model for Programming and Natural Languages

    Zhangyin Feng;Daya Guo;Duyu Tang;Nan Duan

  • Document Modeling with Gated Recurrent Neural Network for Sentiment Classification

    Duyu Tang;Bing Qin;Ting Liu

  • Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

    Duyu Tang;Furu Wei;Nan Yang;Ming Zhou

  • Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification

    Li Dong;Furu Wei;Chuanqi Tan;Duyu Tang

  • Aspect Level Sentiment Classification with Deep Memory Network

    Duyu Tang;Bing Qin;Ting Liu

  • Effective LSTMs for Target-Dependent Sentiment Classification

    Duyu Tang;Bing Qin;Xiaocheng Feng;Ting Liu

  • K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

    Ruize Wang;Duyu Tang;Nan Duan;zhongyu wei

  • GraphCodeBERT: Pre-training Code Representations with Data Flow

    Daya Guo;Shuo Ren;Shuai Lu;Zhangyin Feng

  • CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

    Shuai Lu;Daya Guo;Shuo Ren;Junjie Huang

  • Learning Semantic Representations of Users and Products for Document Level Sentiment Classification

    Duyu Tang;Bing Qin;Ting Liu

  • Sentiment Embeddings with Applications to Sentiment Analysis

    Duyu Tang;Furu Wei;Bing Qin;Nan Yang

  • Coooolll: A Deep Learning System for Twitter Sentiment Classification

    Duyu Tang;Furu Wei;Bing Qin;Ting Liu

  • Question Generation for Question Answering

    Nan Duan;Duyu Tang;Peng Chen;Ming Zhou

  • A language-independent neural network for event detection

    Xiaocheng Feng;Bing Qin;Ting Liu

  • A Language-Independent Neural Network for Event Detection.

    Xiaocheng Feng;Lifu Huang;Duyu Tang;Heng Ji

  • Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach

    Duyu Tang;Furu Wei;Bing Qin;Ming Zhou

  • Question Answering and Question Generation as Dual Tasks

    Duyu Tang;Nan Duan;Tao Qin;Zhao Yan

  • Modeling mention, context and entity with neural networks for entity disambiguation

    Yaming Sun;Lei Lin;Duyu Tang;Nan Yang

  • Deep learning for sentiment analysis: successful approaches and future challenges

    Duyu Tang;Bing Qin;Ting Liu

  • Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering

    Shangwen Lv;Daya Guo;Jingjing Xu;Duyu Tang

  • CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

    Shuo Ren;Daya Guo;Shuai Lu;Long Zhou

Frequent Co-Authors

Nan Duan
Nan Duan Microsoft Research Asia (China)
Ming Zhou
Ming Zhou Langboat Technology
Bing Qin
Bing Qin Harbin Institute of Technology
Daxin Jiang
Daxin Jiang Microsoft (United States)
Ting Liu
Ting Liu Harbin Institute of Technology
Shujie Liu
Shujie Liu Microsoft Research Asia (China)
Furu Wei
Furu Wei Microsoft (United States)
Zhongyu Wei
Zhongyu Wei Fudan University
Xuanjing Huang
Xuanjing Huang Fudan University
Li Dong
Li Dong Microsoft (United States)

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