World's Best Scientists 2026 revealed!
Dongyan Zhao

Dongyan Zhao

D-Index & Metrics

Computer Science

D-Index
52
Citations
11645
World Ranking
5052
National Ranking
682

Dongyan Zhao 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 Dongyan Zhao 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 309 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Dongyan Zhao 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 Dongyan Zhao sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Dongyan Zhao is affiliated with Peking University in China. Their research primarily falls within the field of Computer Science, with a significant focus on Artificial Intelligence.

The scientist has published extensively, with key contributions in topics related to Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, and Speech and Dialogue Systems. Additional areas of interest include Advanced Text Analysis Techniques, Domain Adaptation and Few-Shot Learning, as well as Video Analysis and Summarization.

Frequent publication venues for Dongyan Zhao include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Information Systems
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Several recent papers showcase the scope of their work:

  • Low-Resource Knowledge-Grounded Dialogue Generation, 2020, arXiv (Cornell University)
  • Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • A Character-Centric Neural Model for Automated Story Generation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Multi-Granularity Structural Knowledge Distillation for Language Model Compression, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Meaningful Answer Generation of E-Commerce Question-Answering, 2021, ACM Transactions on Information Systems

Dongyan Zhao frequently collaborates with other researchers, including:

  • Rui Yan
  • Yansong Feng
  • Xiuying Chen
  • Shen Gao
  • Chongyang Tao

The scientist's work emphasizes advancements in dialogue generation, context-response understanding, story generation, language model compression, and e-commerce question answering. Their publication history reflects both theoretical and applied research across these interconnected domains.

Best Publications

  • Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges

    Feiyu Xu;Hans Uszkoreit;Yangzhou Du;Wei Fan

  • Style Transfer in Text: Exploration and Evaluation

    Zhenxin Fu;Xiaoye Tan;Nanyun Peng;Dongyan Zhao

  • Multi-grained Attention Network for Aspect-Level Sentiment Classification

    Feifan Fan;Yansong Feng;Dongyan Zhao

  • Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs

    Yuting Wu;Xiao Liu;Yansong Feng;Zheng Wang

  • Learning to Predict Charges for Criminal Cases with Legal Basis

    Bingfeng Luo;Yansong Feng;Jianbo Xu;Xiang Zhang

  • Plan-And-Write: Towards Better Automatic Storytelling

    Lili Yao;Nanyun Peng;Ralph M. Weischedel;Kevin Knight

  • Question Answering on Freebase via Relation Extraction and Textual Evidence

    Kun Xu;Siva Reddy;Yansong Feng;Songfang Huang

  • gStore: answering SPARQL queries via subgraph matching

    Lei Zou;Jinghui Mo;Lei Chen;M. Tamer Özsu

  • Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling

    Kun Xu;Yansong Feng;Songfang Huang;Dongyan Zhao

  • Natural language question answering over RDF: a graph data driven approach

    Lei Zou;Ruizhe Huang;Haixun Wang;Jeffrey Xu Yu

  • Answering Natural Language Questions by Subgraph Matching over Knowledge Graphs

    Sen Hu;Lei Zou;Jeffrey Xu Yu;Haixun Wang

  • gStore: a graph-based SPARQL query engine

    Lei Zou;M. Tamer Özsu;Lei Chen;Xuchuan Shen

  • RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems

    Chongyang Tao;Lili Mou;Dongyan Zhao;Rui Yan

  • Jointly Learning Entity and Relation Representations for Entity Alignment

    Yuting Wu;Xiao Liu;Yansong Feng;Zheng Wang

  • Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism

    Chongyang Tao;Shen Gao;Mingyue Shang;Wei Wu

  • One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues.

    Chongyang Tao;Wei Wu;Can Xu;Wenpeng Hu

  • How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models

    Zhiliang Tian;Rui Yan;Lili Mou;Yiping Song

  • Knowledge-Grounded Dialogue Generation with Pre-trained Language Models

    Xueliang Zhao;Wei Wu;Can Xu;Chongyang Tao

  • Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots

    Chongyang Tao;Wei Wu;Can Xu;Wenpeng Hu

  • A Convolution BiLSTM Neural Network Model for Chinese Event Extraction

    Ying Zeng;Honghui Yang;Yansong Feng;Zheng Wang

Frequent Co-Authors

Rui Yan
Rui Yan Renmin University of China
Yansong Feng
Yansong Feng Peking University
Lei Chen
Lei Chen Hong Kong University of Science and Technology
Kun Xu
Kun Xu Beijing University of Posts and Telecommunications
M. Tamer Özsu
M. Tamer Özsu University of Waterloo
C. Robin Buell
C. Robin Buell University of Georgia
Bing Liu
Bing Liu University of Illinois at Chicago
Ning Jiang
Ning Jiang Michigan State University
Lidong Bing
Lidong Bing Carnegie Mellon University
Dong Wang
Dong Wang University of Notre Dame

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