World's Best Scientists 2026 revealed!
Fuzhen Zhuang

Fuzhen Zhuang

D-Index & Metrics

Computer Science

D-Index
53
Citations
16700
World Ranking
4712
National Ranking
631

Fuzhen Zhuang 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 Fuzhen Zhuang 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: 226 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Fuzhen Zhuang 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 Fuzhen Zhuang 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

Fuzhen Zhuang is affiliated with Beihang University in China and has a substantial body of research primarily within the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Transportation, and Building and Construction.

Their research topics cover a range of areas with notable focus on:

  • Recommender Systems and Techniques
  • Topic Modeling
  • Advanced Graph Neural Networks
  • Domain Adaptation and Few-Shot Learning
  • Sentiment Analysis and Opinion Mining
  • Text and Document Classification Technologies
  • Traffic Prediction and Management Techniques

Zhuang has published research extensively in academic venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Neural Networks
  • SSRN Electronic Journal
  • Frontiers of Computer Science

Frequent co-authorship has been with colleagues including:

  • Deqing Wang
  • Qing He
  • Dongbo Xi
  • Hui Xiong
  • Zhao Zhang

Among their published papers, key contributions include:

  • "A Comprehensive Survey on Transfer Learning," 2020, Proceedings of the IEEE
  • "LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "User-Centric Conversational Recommendation with Multi-Aspect User Modeling," 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "Real-time measurement of total nitrogen for agricultural runoff based on multiparameter sensors and intelligent algorithms," 2021, Water Research
  • "Market-oriented job skill valuation with cooperative composition neural network," 2021, Nature Communications

Best Publications

  • A Comprehensive Survey on Transfer Learning

    Fuzhen Zhuang;Zhiyuan Qi;Keyu Duan;Dongbo Xi

  • Deep Subdomain Adaptation Network for Image Classification

    Yongchun Zhu;Fuzhen Zhuang;Jindong Wang;Guolin Ke

  • A Survey on Knowledge Graph-Based Recommender Systems

    Qingyu Guo;Fuzhen Zhuang;Chuan Qin;Hengshu Zhu

  • Graph contextualized self-attention network for session-based recommendation

    Chengfeng Xu;Pengpeng Zhao;Yanchi Liu;Victor S. Sheng

  • Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

    Pengpeng Zhao;Anjing Luo;Yanchi Liu;Fuzhen Zhuang

  • Sequential recommender system based on hierarchical attention network

    Haochao Ying;Fuzhen Zhuang;Fuzheng Zhang;Yanchi Liu

  • Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources

    Yongchun Zhu;Fuzhen Zhuang;Deqing Wang

  • Supervised representation learning: transfer learning with deep autoencoders

    Fuzhen Zhuang;Xiaohu Cheng;Ping Luo;Sinno Jialin Pan

  • Multi-representation adaptation network for cross-domain image classification.

    Yongchun Zhu;Fuzhen Zhuang;Jindong Wang;Jingwu Chen

  • Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

    Pengpeng Zhao;Haifeng Zhu;Yanchi Liu;Jiajie Xu

  • PromptBERT: Improving BERT Sentence Embeddings with Prompts

    Unknown

  • Personalized Transfer of User Preferences for Cross-domain Recommendation

    Yongchun Zhu;Zhenwei Tang;Yudan Liu;Fuzhen Zhuang

  • Parallel extreme learning machine for regression based on MapReduce

    Qing He;Tianfeng Shang;Fuzhen Zhuang;Zhongzhi Shi

  • Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion

    Zhao Zhang;Fuzhen Zhuang;Hengshu Zhu;Zhiping Shi

  • Exploiting associations between word clusters and document classes for cross-domain text categorization

    Fuzhen Zhuang;Ping Luo;Hui Xiong;Qing He

  • Transfer learning from multiple source domains via consensus regularization

    Ping Luo;Fuzhen Zhuang;Hui Xiong;Yuhong Xiong

  • Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users

    Yongchun Zhu;Kaikai Ge;Fuzhen Zhuang;Ruobing Xie

  • Learning deep representations via extreme learning machines

    Wenchao Yu;Fuzhen Zhuang;Qing He;Zhongzhi Shi

  • FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition

    Unknown

  • Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks

    Yongchun Zhu;Ruobing Xie;Fuzhen Zhuang;Kaikai Ge

  • Clustering in extreme learning machine feature space

    Qing He;Xin Jin;Changying Du;Fuzhen Zhuang

  • Energy model for rumor propagation on social networks

    Shuo Han;Fuzhen Zhuang;Qing He;Zhongzhi Shi

  • Representation learning via Dual-Autoencoder for recommendation.

    Fuzhen Zhuang;Zhiqiang Zhang;Mingda Qian;Chuan Shi

  • Parallel implementation of classification algorithms based on MapReduce

    Qing He;Fuzhen Zhuang;Jincheng Li;Zhongzhi Shi

Frequent Co-Authors

Qing He
Qing He University of Chinese Academy of Sciences
Zhongzhi Shi
Zhongzhi Shi Chinese Academy of Sciences
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Chuan Shi
Chuan Shi Beijing University of Posts and Telecommunications
Victor S. Sheng
Victor S. Sheng Texas Tech University
Ruobing Xie
Ruobing Xie Tencent (China)
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Xing Xie
Xing Xie Microsoft Research Asia (China)
Sinno Jialin Pan
Sinno Jialin Pan Chinese University of Hong Kong
Bin Wu
Bin Wu Beijing University of Posts and Telecommunications

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