World's Best Scientists 2026 revealed!
Yongfeng Huang

Yongfeng Huang

D-Index & Metrics

Computer Science

D-Index
53
Citations
9310
World Ranking
4898
National Ranking
657

Yongfeng Huang 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 Yongfeng Huang 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: 228 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Yongfeng Huang 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 Yongfeng Huang 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Yongfeng Huang is affiliated with Tsinghua University in China and has contributed extensively to the field of computer science, with a primary focus on artificial intelligence. Their research spans several subfields, including computer vision and pattern recognition, information systems, electrical and electronic engineering, and computer networks and communications.

The scientist's work addresses core topics such as topic modeling, recommender systems and techniques, advanced steganography and watermarking techniques, natural language processing techniques, internet traffic analysis and secure e-voting, advanced graph neural networks, and privacy-preserving technologies in data.

Yongfeng Huang has published numerous papers in multiple venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Knowledge-Based Systems
  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • IEEE Transactions on Information Forensics and Security
  • SSRN Electronic Journal

Recent research papers associated with Yongfeng Huang include:

  • "Communication-efficient federated learning via knowledge distillation" (2022, Nature Communications)
  • "A federated graph neural network framework for privacy-preserving personalization" (2022, Nature Communications)
  • "β-MnO2 with proton conversion mechanism in rechargeable zinc ion battery" (2020, Journal of Energy Chemistry)
  • "VAE-Stega: Linguistic Steganography Based on Variational Auto-Encoder" (2020, IEEE Transactions on Information Forensics and Security)
  • "Personalized News Recommendation: Methods and Challenges" (2022, ACM Transactions on Information Systems)

Yongfeng Huang frequently collaborates with a group of coauthors. The most frequent collaborators are:

  • Chuhan Wu
  • Fangzhao Wu
  • Tao Qi
  • Xing Xie
  • Zhongliang Yang

Their publications collectively contribute to a comprehensive understanding of the development and application of federated learning, graph neural networks, steganography, and recommendation systems, among other areas within computer science.

Best Publications

  • Neural News Recommendation with Multi-Head Self-Attention.

    Chuhan Wu;Fangzhao Wu;Suyu Ge;Tao Qi

  • RNN-Stega: Linguistic Steganography Based on Recurrent Neural Networks

    Zhong-Liang Yang;Xiao-Qing Guo;Zi-Ming Chen;Yong-Feng Huang

  • NPA: Neural News Recommendation with Personalized Attention

    Chuhan Wu;Fangzhao Wu;Mingxiao An;Jianqiang Huang

  • Dynamic-Hash-Table Based Public Auditing for Secure Cloud Storage

    Hui Tian;Yuxiang Chen;Chin-Chen Chang;Hong Jiang

  • Neural News Recommendation with Attentive Multi-View Learning.

    Chuhan Wu;Fangzhao Wu;Mingxiao An;Jianqiang Huang

  • TS-RNN: Text Steganalysis Based on Recurrent Neural Networks

    Zhongliang Yang;Ke Wang;Jian Li;Yongfeng Huang

  • Steganography in Inactive Frames of VoIP Streams Encoded by Source Codec

    Yong Feng Huang;Shanyu Tang;Jian Yuan

  • VAE-Stega: Linguistic Steganography Based on Variational Auto-Encoder

    Zhong-Liang Yang;Si-Yu Zhang;Yu-Ting Hu;Zhi-Wen Hu

  • Steganography Integration Into a Low-Bit Rate Speech Codec

    Yongfeng Huang;Chenghao Liu;Shanyu Tang;Sen Bai

  • Empowering News Recommendation with Pre-trained Language Models

    Chuhan Wu;Fangzhao Wu;Tao Qi;Yongfeng Huang

  • Privacy-Preserving News Recommendation Model Learning

    Tao Qi;Fangzhao Wu;Chuhan Wu;Yongfeng Huang

  • Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation

    Fangzhao Wu;Junxin Liu;Chuhan Wu;Yongfeng Huang

  • FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation.

    Chuhan Wu;Fangzhao Wu;Yang Cao;Yongfeng Huang

  • Graph Enhanced Representation Learning for News Recommendation

    Suyu Ge;Chuhan Wu;Fangzhao Wu;Tao Qi

  • A hybrid unsupervised method for aspect term and opinion target extraction

    Chuhan Wu;Fangzhao Wu;Sixing Wu;Zhigang Yuan

  • A Blockchain-based access control scheme with multiple attribute authorities for secure cloud data sharing

    Xuanmei Qin;Yongfeng Huang;Zhen Yang;Xing Li

  • Clinical Assistant Diagnosis for Electronic Medical Record Based on Convolutional Neural Network

    Zhongliang Yang;Yongfeng Huang;Yiran Jiang;Yuxi Sun

  • RNN-SM: Fast Steganalysis of VoIP Streams Using Recurrent Neural Network

    Zinan Lin;Yongfeng Huang;Jilong Wang

  • Neural News Recommendation with Topic-Aware News Representation.

    Chuhan Wu;Fangzhao Wu;Mingxiao An;Yongfeng Huang

  • Fairness-aware News Recommendation with Decomposed Adversarial Learning.

    Chuhan Wu;Fangzhao Wu;Xiting Wang;Yongfeng Huang

  • Towards building a high-quality microblog-specific Chinese sentiment lexicon

    Fangzhao Wu;Yongfeng Huang;Yangqiu Song;Shixia Liu

  • Privacy-preserving public auditing for secure data storage in fog-to-cloud computing

    Hui Tian;Fulin Nan;Chin-Chen Chang;Yongfeng Huang

  • Unsupervised pre-trained filter learning approach for efficient convolution neural network

    Sadaqat ur Rehman;Shanshan Tu;Muhammad Waqas;Yongfeng Huang

  • Optimization of CNN through Novel Training Strategy for Visual Classification Problems.

    Sadaqat Ur Rehman;Shanshan Tu;Obaid Ur Rehman;Yongfeng Huang

  • CSFL: A novel unsupervised convolution neural network approach for visual pattern classification

    Sadaqat ur Rehman;Shanshan Tu;Yongfeng Huang;Guojie Liu

Frequent Co-Authors

Chuhan Wu
Chuhan Wu Tsinghua University
Fangzhao Wu
Fangzhao Wu Microsoft Research Asia (China)
Xing Xie
Xing Xie Microsoft Research Asia (China)
Yu-Jin Zhang
Yu-Jin Zhang Tsinghua University
Chin-Chen Chang
Chin-Chen Chang Feng Chia University
Yangqiu Song
Yangqiu Song Hong Kong University of Science and Technology
Tian Wang
Tian Wang Beijing Normal University
Shixia Liu
Shixia Liu Tsinghua University
Liang Zheng
Liang Zheng Australian National University
Jun Yan
Jun Yan Microsoft (United States)

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