World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
14728
World Ranking
4244
National Ranking
566

Xiaoyan Zhu 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 Xiaoyan Zhu 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: 220 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Xiaoyan Zhu 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 Xiaoyan Zhu 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Xiaoyan Zhu is affiliated with Tsinghua University in China and has contributed extensively to the fields of Computer Science and Engineering, with a focus on Artificial Intelligence, Safety, Risk, Reliability and Quality, Software, Computer Vision and Pattern Recognition, and Statistics and Probability.

The scientist's research encompasses a diverse range of topics including:

  • Reliability and Maintenance Optimization
  • Software Reliability and Analysis Research
  • Topic Modeling
  • Natural Language Processing Techniques
  • Statistical Distribution Estimation and Applications
  • Advanced Battery Technologies Research
  • Speech and dialogue systems

Recent notable publications include:

  • CPM: A large-scale generative Chinese Pre-trained language model (2021, AI Open)
  • Joint optimization of condition-based maintenance and inventory control for a k-out-of-n:F system of multi-state degrading components (2020, European Journal of Operational Research)
  • On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark (2022, Findings of the Association for Computational Linguistics: ACL 2022)
  • A Joint Long Short-Term Memory and AdaBoost regression approach with application to remaining useful life estimation (2020, Measurement)
  • Dynamic maintenance policy for systems with repairable components subject to mutually dependent competing failure processes (2020, Computers & Industrial Engineering)

Frequent co-authors collaborating with Xiaoyan Zhu include:

  • Pei Ke
  • Hao Zhou
  • Minlie Huang
  • Ping Zhang

Xiaoyan Zhu has published multiple papers in prominent venues such as:

  • Reliability Engineering & System Safety
  • European Journal of Operational Research
  • arXiv (Cornell University)
  • Computers & Industrial Engineering
  • Transportation Research Part E Logistics and Transportation Review

The body of work demonstrates a consistent engagement with maintenance optimization and reliability issues in engineering systems alongside contributions to software reliability and natural language processing, particularly focused on Chinese language models and safety in conversational AI systems.

Best Publications

  • Attention-based LSTM for Aspect-level Sentiment Classification

    Yequan Wang;Minlie Huang;xiaoyan zhu;Li Zhao

  • Movie review mining and summarization

    Li Zhuang;Feng Jing;Xiao-Yan Zhu

  • Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

    Hao Zhou;Minlie Huang;Tianyang Zhang;Xiaoyan Zhu

  • Commonsense Knowledge Aware Conversation Generation with Graph Attention

    Hao Zhou;Tom Young;Minlie Huang;Haizhou Zhao

  • Learning to identify review spam

    Fangtao Li;Minlie Huang;Yi Yang;Xiaoyan Zhu

  • TransG : A Generative Model for Knowledge Graph Embedding

    Han Xiao;Minlie Huang;Xiaoyan Zhu

  • Structure-Aware Review Mining and Summarization

    Fangtao Li;Chao Han;Minlie Huang;Xiaoyan Zhu

  • Reinforcement Learning for Relation Classification From Noisy Data

    Jun Feng;Minlie Huang;Li Zhao;Yang Yang

  • Discovering patterns to extract protein--protein interactions from full texts

    Minlie Huang;Xiaoyan Zhu;Yu Hao;Donald G. Payan

  • Challenges in Building Intelligent Open-domain Dialog Systems

    Minlie Huang;Xiaoyan Zhu;Jianfeng Gao

  • Sentiment analysis with global topics and local dependency

    Fangtao Li;Minlie Huang;Xiaoyan Zhu

  • A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation

    Jian Guan;Fei Huang;Zhihao Zhao;Xiaoyan Zhu

  • Building Disease-Specific Drug-Protein Connectivity Maps from Molecular Interaction Networks and PubMed Abstracts

    Jiao Li;Xiaoyan Zhu;Jake Yue Chen;Jake Yue Chen

  • Sentiment Analysis by Capsules

    Yequan Wang;Aixin Sun;Jialong Han;Ying Liu

  • Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation

    Qiao Qian;Minlie Huang;Haizhou Zhao;Jingfang Xu

  • Cross-Domain Co-Extraction of Sentiment and Topic Lexicons

    Fangtao Li;Sinno Jialin Pan;Ou Jin;Qiang Yang

  • Learning to Link Entities with Knowledge Base

    Zhicheng Zheng;Fangtao Li;Minlie Huang;Xiaoyan Zhu

  • Contextual Combinatorial Bandit and its Application on Diversified Online Recommendation.

    Lijing Qin;Shouyuan Chen;Xiaoyan Zhu

  • Recent Advances and Challenges in Task-oriented Dialog System

    Zheng Zhang;Ryuichi Takanobu;Minlie Huang;Xiaoyan Zhu

  • Linguistically Regularized LSTM for Sentiment Classification.

    Qiao Qian;Minlie Huang;Jinhao Lei;Xiaoyan Zhu

  • SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions.

    Han Xiao;Minlie Huang;Lian Meng;Xiaoyan Zhu

Frequent Co-Authors

Minlie Huang
Minlie Huang Tsinghua University
Hao Zhou
Hao Zhou Tsinghua University
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Jie Zhang
Jie Zhang Nanyang Technological University
Kaizhu Huang
Kaizhu Huang Duke Kunshan University
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Bin Ma
Bin Ma University of Waterloo
Aixin Sun
Aixin Sun Nanyang Technological University
Hang Li
Hang Li ByteDance
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology

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