World's Best Scientists 2026 revealed!
Houfeng Wang

Houfeng Wang

D-Index & Metrics

Computer Science

D-Index
37
Citations
6049
World Ranking
10731
National Ranking
1320

Houfeng Wang 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 Houfeng Wang 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: 156 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Houfeng Wang 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 Houfeng Wang 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Houfeng Wang is affiliated with Peking University in China and contributes extensively to the field of Computer Science, having published 89 works. Their research focuses predominantly on Artificial Intelligence, with subfields that include Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems, and Environmental Engineering.

The scientist's main topics of research are diverse within the domain of text and language processing. These topics include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Sentiment Analysis and Opinion Mining
  • Speech and Dialogue Systems
  • Advanced Text Analysis Techniques
  • Text Readability and Simplification
  • Text and Document Classification Technologies

Houfeng Wang has collaborated frequently with several coauthors. The most recurrent collaborators are Peiyi Wang, Lianzhe Huang, Feifan Song, Furu Wei, and Guangyue Peng.

The scientist's publication record spans various prestigious venues. Frequent publication venues include:

  • arXiv (Cornell University) with 27 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 5 publications
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Engineering
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Some recent papers authored or coauthored by Houfeng Wang include:

  • Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification (2022), presented at the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking (2020), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • Graph LSTM with Context-Gated Mechanism for Spoken Language Understanding (2020), also in the Proceedings of the AAAI Conference on Artificial Intelligence
  • Preference Ranking Optimization for Human Alignment (2024), in the Proceedings of the AAAI Conference on Artificial Intelligence
  • Flow-Electrode Microbial Electrosynthesis for Increasing Production Rates and Lowering Energy Consumption (2021), published in Engineering

Best Publications

  • Interactive attention networks for aspect-level sentiment classification

    Dehong Ma;Sujian Li;Xiaodong Zhang;Houfeng Wang

  • SGM: Sequence Generation Model for Multi-label Classification

    Pengcheng Yang;Xu Sun;Wei Li;Shuming Ma

  • Text Level Graph Neural Network for Text Classification.

    Lianzhe Huang;Dehong Ma;Sujian Li;Xiaodong Zhang

  • A joint model of intent determination and slot filling for spoken language understanding

    Xiaodong Zhang;Houfeng Wang

  • A Dependency-Based Neural Network for Relation Classification

    Yang Liu;Furu Wei;Sujian Li;Heng Ji

  • Bidirectional Recurrent Convolutional Neural Network for Relation Classification

    Rui Cai;Xiaodong Zhang;Houfeng Wang

  • Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach

    Jingjing Xu;Xu Sun;Qi Zeng;Xiaodong Zhang

  • Entity-centric topic-oriented opinion summarization in twitter

    Xinfan Meng;Furu Wei;Xiaohua Liu;Ming Zhou

  • Learning Entity Representation for Entity Disambiguation

    Zhengyan He;Shujie Liu;Mu Li;Ming Zhou

  • Learning Summary Prior Representation for Extractive Summarization

    Ziqiang Cao;Furu Wei;Sujian Li;Wenjie Li

  • meProp: sparsified back propagation for accelerated deep learning with reduced overfitting

    Xu Sun;Xuancheng Ren;Shuming Ma;Houfeng Wang

  • Exploring Sequence-to-Sequence Learning in Aspect Term Extraction

    Dehong Ma;Sujian Li;Fangzhao Wu;Xing Xie

  • Bootstrapping Both Product Features and Opinion Words from Chinese Customer Reviews with Cross-Inducing

    Bo Wang;Houfeng Wang

  • Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection

    Xu Sun;Houfeng Wang;Wenjie Li

  • Cross-Lingual Mixture Model for Sentiment Classification

    Xinfan Meng;Furu Wei;Xiaohua Liu;Ming Zhou

  • A Two-Stage Parsing Method for Text-Level Discourse Analysis

    Yizhong Wang;Sujian Li;Houfeng Wang

  • Using pointwise mutual information to identify implicit features in customer reviews

    Qi Su;Kun Xiang;Houfeng Wang;Bin Sun

  • Build Chinese Emotion Lexicons Using A Graph-based Algorithm and Multiple Resources

    Ge Xu;Xinfan Meng;Houfeng Wang

  • Attentive Interactive Neural Networks for Answer Selection in Community Question Answering

    Xiaodong Zhang;Sujian Li;Lei Sha;Houfeng Wang

  • Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach

    Jingjing Xu;Xu Sun;Qi Zeng;Xuancheng Ren

Frequent Co-Authors

Xu Sun
Xu Sun Peking University
Sujian Li
Sujian Li Peking University
Shuming Ma
Shuming Ma Peking University
Wenjie Li
Wenjie Li Hong Kong Polytechnic University
Ming Zhou
Ming Zhou Langboat Technology
Furu Wei
Furu Wei Microsoft (United States)
Mu Li
Mu Li Amazon (United States)
Shujie Liu
Shujie Liu Microsoft Research Asia (China)
Lintao Zhang
Lintao Zhang Microsoft (United States)
Jing Jiang
Jing Jiang Singapore Management University

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