World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
22672
World Ranking
1490
National Ranking
201

Fei Wu 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 Fei Wu 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: 471 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Fei Wu 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 Fei Wu 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: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Fei Wu is affiliated with Zhejiang University in China and has contributed extensively to the field of Computer Science, with a strong focus on Artificial Intelligence. Their research spans multiple subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistics and Probability, and Electrical and Electronic Engineering.

The topics addressed in Fei Wu's body of work include:

  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Recommender Systems and Techniques
  • Human Pose and Action Recognition

Fei Wu's recent publications reflect a focus on advancing artificial intelligence and its applications. Notable papers include:

  • Towards a new generation of artificial intelligence in China, 2020, Nature Machine Intelligence
  • Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting, 2020, Alexandria Engineering Journal

Frequent collaborators in Fei Wu's research include Kun Kuang, Zhou Zhao, Shengyu Zhang, Shiliang Pu, and Yuxian Meng, with collaboration counts ranging from 23 to 95 joint works.

Their work has appeared in several prominent publication venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Knowledge and Data Engineering, SSRN Electronic Journal, and IEEE Transactions on Image Processing.

Fei Wu has contributed to book publications primarily through Springer Science+Business Media. Among these are several editions of the title Pattern Recognition and Computer Vision published in 2021, as well as Health Information Processing and related evaluation track papers published between 2023 and 2024.

Best Publications

  • Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

    Jun Xiao;Hao Ye;Xiangnan He;Hanwang Zhang

  • Open Information Extraction Using Wikipedia

    Fei Wu;Daniel S. Weld

  • A Unified MRC Framework for Named Entity Recognition

    Xiaoya Li;Jingrong Feng;Yuxian Meng;Qinghong Han

  • DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

    Xi Li;Liming Zhao;Lina Wei;Ming-Hsuan Yang

  • Autonomously semantifying wikipedia

    Fei Wu;Daniel S. Weld

  • Dice Loss for Data-imbalanced NLP Tasks

    Xiaoya Li;Xiaofei Sun;Yuxian Meng;Junjun Liang

  • Dynamic Network Embedding by Modeling Triadic Closure Process.

    Le-kui Zhou;Yang Yang;Xiang Ren;Fei Wu

  • Automatically refining the wikipedia infobox ontology

    Fei Wu;Daniel S. Weld

  • Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning

    Pingbo Pan;Zhongwen Xu;Yi Yang;Fei Wu

  • Recovering semantics of tables on the web

    Petros Venetis;Alon Halevy;Jayant Madhavan;Marius Paşca

  • Video Question Answering via Gradually Refined Attention over Appearance and Motion

    Dejing Xu;Zhou Zhao;Jun Xiao;Fei Wu

  • Harmonizing Hierarchical Manifolds for Multimedia Document Semantics Understanding and Cross-Media Retrieval

    Yi Yang;Yue-Ting Zhuang;Fei Wu;Yun-He Pan

  • Adaptive Graph Representation Learning for Video Person Re-Identification

    Yiming Wu;Omar El Farouk Bourahla;Xi Li;Fei Wu

  • Towards a new generation of artificial intelligence in China

    Fei Wu;Cewu Lu;Mingjie Zhu;Hao Chen

  • Super-resolution Person re-identification with semi-coupled low-rank discriminant dictionary learning

    Xiao-Yuan Jing;Xiaoke Zhu;Fei Wu;Xinge You

  • HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction

    Dejiang Kong;Fei Wu

  • Deep Q Learning Driven CT Pancreas Segmentation With Geometry-Aware U-Net

    Yunze Man;Yangsibo Huang;Junyi Feng;Xi Li

  • Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition

    Bin Li;Xi Li;Zhongfei Zhang;Fei Wu

  • Heterogeneous cross-company defect prediction by unified metric representation and CCA-based transfer learning

    Xiaoyuan Jing;Fei Wu;Xiwei Dong;Fumin Qi

  • 3D motion retrieval with motion index tree

    Feng Liu;Yueting Zhuang;Fei Wu;Yunhe Pan

  • Mining Semantic Correlation of Heterogeneous Multimedia Data for Cross-Media Retrieval

    Yue-Ting Zhuang;Yi Yang;Fei Wu

  • BertGCN: Transductive Text Classification by Combining GNN and BERT

    Yuxiao Lin;Yuxian Meng;Xiaofei Sun;Qinghong Han

  • DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis

    Ming Tao;Hao Tang;Songsong Wu;Nicu Sebe

Frequent Co-Authors

Yueting Zhuang
Yueting Zhuang Zhejiang University
Xiao-Yuan Jing
Xiao-Yuan Jing Wuhan University
Xi Li
Xi Li Zhejiang University
Jun Xiao
Jun Xiao University of Wisconsin–Madison
Zhongfei Zhang
Zhongfei Zhang Binghamton University
Zhou Zhao
Zhou Zhao Zhejiang University
Jiwei Li
Jiwei Li Zhejiang University
Qi Tian
Qi Tian Huawei Technologies (China)
Xiang Ren
Xiang Ren University of Southern California
Baowen Xu
Baowen Xu Nanjing University

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