World's Best Scientists 2026 revealed!
Zhaopeng Tu

Zhaopeng Tu

D-Index & Metrics

Computer Science

D-Index
42
Citations
6592
World Ranking
8470
National Ranking
1105

Zhaopeng Tu 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 Zhaopeng Tu 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: 154 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Zhaopeng Tu 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 Zhaopeng Tu 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Zhaopeng Tu is a researcher affiliated with Tencent in China, specializing in the field of computer science with a particular focus on artificial intelligence. Their work encompasses a broad spectrum of subfields including artificial intelligence, computer vision and pattern recognition, health informatics, information systems, and human-computer interaction.

The scientist's research primarily addresses topics such as topic modeling, natural language processing techniques, multimodal machine learning applications, text readability and simplification, speech recognition and synthesis, artificial intelligence in healthcare and education, and domain adaptation and few-shot learning.

Zhaopeng Tu has contributed extensively to academic literature, with numerous publications appearing in several notable venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • Neurocomputing
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Transactions of the Association for Computational Linguistics
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among the recent papers authored by or involving Zhaopeng Tu are the following:

  • Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine, 2023, arXiv (Cornell University)
  • On the diversity of multi-head attention, 2021, Neurocomputing
  • Context-aware Self-Attention Networks for Natural Language Processing, 2021, Neurocomputing
  • Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation, 2021, arXiv (Cornell University)
  • Understanding and Improving Lexical Choice in Non-Autoregressive Translation, 2020, arXiv (Cornell University)

Frequent collaborators include Longyue Wang, Shuming Shi, Wenxiang Jiao, Michael R. Lyu, and Jen-tse Huang, each having coauthored multiple works with Zhaopeng Tu over time. These partnerships have contributed to a body of research spanning diverse aspects of machine learning and natural language processing.

Best Publications

  • Modeling Coverage for Neural Machine Translation

    Zhaopeng Tu;Zhengdong Lu;Yang Liu;Xiaohua Liu

  • On the localness of software

    Zhaopeng Tu;Zhendong Su;Premkumar Devanbu

  • On the "naturalness" of buggy code

    Baishakhi Ray;Vincent Hellendoorn;Saheel Godhane;Zhaopeng Tu

  • Exploiting Cross-Sentence Context for Neural Machine Translation

    Longyue Wang;Zhaopeng Tu;Andy Way;Qun Liu

  • Neural Machine Translation with Reconstruction.

    Zhaopeng Tu;Yang Liu;Lifeng Shang;Xiaohua Liu

  • Modeling Localness for Self-Attention Networks

    Baosong Yang;Zhaopeng Tu;Derek F. Wong;Fandong Meng

  • Multi-Head Attention with Disagreement Regularization

    Jian Li;Zhaopeng Tu;Baosong Yang;Michael R. Lyu

  • Learning to Remember Translation History with a Continuous Cache

    Zhaopeng Tu;Yang Liu;Shuming Shi;Tong Zhang

  • Towards Robust Neural Machine Translation

    Yong Cheng;Zhaopeng Tu;Fandong Meng;Junjie Zhai

  • Modeling Source Syntax for Neural Machine Translation.

    Junhui Li;Deyi Xiong;Zhaopeng Tu;Muhua Zhu

  • Convolutional Self-Attention Networks

    Baosong Yang;Longyue Wang;Derek F. Wong;Lidia S. Chao

  • EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation.

    Qintong Li;Hongshen Chen;Zhaochun Ren;Pengjie Ren

  • Context Gates for Neural Machine Translation

    Zhaopeng Tu;Yang Liu;Zhengdong Lu;Xiaohua Liu

  • Context-Aware Self-Attention Networks

    Baosong Yang;Jian Li;Derek F. Wong;Lidia S. Chao

  • On the diversity of multi-head attention

    Jian Li;Xing Wang;Zhaopeng Tu;Michael R. Lyu

  • Exploiting Deep Representations for Neural Machine Translation

    Zi-Yi Dou;Zhaopeng Tu;Xing Wang;Shuming Shi

  • Neural machine translation advised by statistical machine translation

    Xing Wang;Zhengdong Lu;Zhaopeng Tu;Hang Li

  • Modeling Recurrence for Transformer

    Jie Hao;Xing Wang;Baosong Yang;Longyue Wang

  • Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

    Unknown

  • Self-Attention with Structural Position Representations.

    Xing Wang;Zhaopeng Tu;Longyue Wang;Shuming Shi

  • On the Inference Calibration of Neural Machine Translation

    Shuo Wang;Zhaopeng Tu;Shuming Shi;Yang Liu

  • Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework

    Deng Cai;Yan Wang;Wei Bi;Zhaopeng Tu

  • Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory

    Deng Cai;Yan Wang;Victoria Bi;Zhaopeng Tu

Frequent Co-Authors

Shuming Shi
Shuming Shi Tencent (China)
Qun Liu
Qun Liu Huawei Technologies (China)
Yang Liu
Yang Liu Tsinghua University
Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Zhengdong Lu
Zhengdong Lu Huawei Technologies (China)
Hang Li
Hang Li ByteDance
Andy Way
Andy Way Dublin City University
Tong Zhang
Tong Zhang University of Illinois at Urbana-Champaign
Dacheng Tao
Dacheng Tao Nanyang Technological University
Min Zhang
Min Zhang Tsinghua University

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