World's Best Scientists 2026 revealed!
Yansong Feng

Yansong Feng

D-Index & Metrics

Computer Science

D-Index
39
Citations
6546
World Ranking
9759
National Ranking
1225

Yansong Feng 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 Yansong Feng 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: 119 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Yansong Feng 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 Yansong Feng 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Yansong Feng is affiliated with Peking University in China and has contributed extensively to the field of computer science, with a primary research focus on artificial intelligence.

The scientist's main areas of study include:

  • Computer Science

Within this broad field, their subfields of study are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Automotive Engineering
  • Management Science and Operations Research

The main topics covered in their research are:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks
  • Text Readability and Simplification
  • Speech and dialogue systems
  • Semantic Web and Ontologies

The scientist has published papers in several notable venues, including:

  • arXiv (Cornell University)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Information Forensics and Security
  • Knowledge-Based Systems

Some recent publications by Yansong Feng include:

  • Combining Graph-Based Learning With Automated Data Collection for Code Vulnerability Detection, 2020, IEEE Transactions on Information Forensics and Security
  • Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Multi-turn intent determination and slot filling with neural networks and regular expressions, 2020, Knowledge-Based Systems
  • Paraphrase Generation with Latent Bag of Words, 2020, arXiv (Cornell University)
  • Lawyer LLaMA Technical Report, 2023, arXiv (Cornell University)

The scientist frequently collaborates with several co-authors, including:

  • Dongyan Zhao
  • Quzhe Huang
  • Yuxuan Lai
  • Mingxu Tao
  • Xiao Liu

Best Publications

  • 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

  • Question Answering on Freebase via Relation Extraction and Textual Evidence

    Kun Xu;Siva Reddy;Yansong Feng;Songfang Huang

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

    Kun Xu;Yansong Feng;Songfang Huang;Dongyan Zhao

  • Combining Graph-Based Learning With Automated Data Collection for Code Vulnerability Detection

    Huanting Wang;Guixin Ye;Zhanyong Tang;Shin Hwei Tan

  • Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

    Kun Xu;Liwei Wang;Mo Yu;Yansong Feng

  • Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks

    Kun Xu;Lingfei Wu;Zhiguo Wang;Yansong Feng

  • CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction

    Chaojun Xiao;Haoxi Zhong;Zhipeng Guo;Cunchao Tu

  • Jointly Learning Entity and Relation Representations for Entity Alignment

    Yuting Wu;Xiao Liu;Yansong Feng;Zheng Wang

  • Topic Models for Image Annotation and Text Illustration

    Yansong Feng;Mirella Lapata

  • Automatic Caption Generation for News Images

    Yansong Feng;M. Lapata

  • Visual Information in Semantic Representation

    Yansong Feng;Mirella Lapata

  • Yet Another Text Captcha Solver: A Generative Adversarial Network Based Approach

    Guixin Ye;Zhanyong Tang;Dingyi Fang;Zhanxing Zhu

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

    Zhiliang Tian;Rui Yan;Lili Mou;Yiping Song

  • A Convolution BiLSTM Neural Network Model for Chinese Event Extraction

    Ying Zeng;Honghui Yang;Yansong Feng;Zheng Wang

  • Neighborhood Matching Network for Entity Alignment

    Yuting Wu;Xiao Liu;Yansong Feng;Zheng Wang

  • Answering Natural Language Questions via Phrasal Semantic Parsing

    Kun Xu;Sheng Zhang;Yansong Feng;Dongyan Zhao

  • How Many Words Is a Picture Worth? Automatic Caption Generation for News Images

    Yansong Feng;Mirella Lapata

  • Automatic Image Annotation Using Auxiliary Text Information

    Yansong Feng;Mirella Lapata

Frequent Co-Authors

Dongyan Zhao
Dongyan Zhao Peking University
Kun Xu
Kun Xu Beijing University of Posts and Telecommunications
Rui Yan
Rui Yan Renmin University of China
Mirella Lapata
Mirella Lapata University of Edinburgh
Min-Yen Kan
Min-Yen Kan National University of Singapore
Dong Yu
Dong Yu Tencent (China)
Maosong Sun
Maosong Sun Tsinghua University
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Xuanjing Huang
Xuanjing Huang Fudan University
Liwei Wang
Liwei Wang Peking University

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