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Computer Science
China
2025

D-Index & Metrics

Computer Science

D-Index
81
Citations
41911
World Ranking
991
National Ranking
144

Xiaofei He 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 Xiaofei He 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: 274 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Xiaofei He 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 Xiaofei He 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: 81 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2014 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition and manifold learning

Overview

Xiaofei He is a researcher affiliated with Zhejiang University in China. Their work predominantly spans the field of Computer Science, with a focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Computational Mechanics, and Radiology, Nuclear Medicine and Imaging.

Their research topics cover a diverse range of advanced areas:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Visual Attention and Saliency Detection
  • Robotics and Sensor-Based Localization
  • Anomaly Detection Techniques and Applications

Xiaofei He has contributed to multiple academic venues. The most frequent publication platforms include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

They have authored or co-authored papers such as:

  • "CLRNet: Cross Layer Refinement Network for Lane Detection," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention," 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Document Summarization Based on Data Reconstruction," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The frequent co-authors collaborating with Xiaofei He include:

  • Deng Cai
  • Boxi Wu
  • Wenxiao Wang
  • Wei Liu
  • Binbin Lin

In recognition of contributions in the field of pattern recognition and manifold learning, Xiaofei He was named a Fellow of the International Association for Pattern Recognition (IAPR) in 2014.

Best Publications

  • Locality Preserving Projections

    Xiaofei He;Partha Niyogi

  • Face recognition using Laplacianfaces

    Xiaofei He;Shuicheng Yan;Yuxiao Hu;P. Niyogi

  • Graph Regularized Nonnegative Matrix Factorization for Data Representation

    Deng Cai;Xiaofei He;Jiawei Han;T S Huang

  • Laplacian Score for Feature Selection

    Xiaofei He;Deng Cai;Partha Niyogi

  • Neighborhood preserving embedding

    Xiaofei He;Deng Cai;Shuicheng Yan;Hong-Jiang Zhang

  • Unsupervised feature selection for multi-cluster data

    Deng Cai;Chiyuan Zhang;Xiaofei He

  • Orthogonal Laplacianfaces for Face Recognition

    Deng Cai;Xiaofei He;Jiawei Han;Hong-Jiang Zhang

  • Document clustering using locality preserving indexing

    D. Cai;X. He;J. Han

  • Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization

    Yao Hu;Debing Zhang;Jieping Ye;Xuelong Li

  • Semi-supervised Discriminant Analysis

    Deng Cai;Xiaofei He;Jiawei Han

  • Locality sensitive discriminant analysis

    Deng Cai;Xiaofei He;Kun Zhou;Jiawei Han

  • Hierarchical clustering of WWW image search results using visual, textual and link information

    Deng Cai;Xiaofei He;Zhiwei Li;Wei-Ying Ma

  • Non-negative Matrix Factorization on Manifold

    Deng Cai;Xiaofei He;Xiaoyun Wu;Jiawei Han

  • SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis

    Deng Cai;Xiaofei He;Jiawei Han

  • Tensor Subspace Analysis

    Xiaofei He;Deng Cai;Partha Niyogi

  • Learning a Spatially Smooth Subspace for Face Recognition

    Deng Cai;Xiaofei He;Yuxiao Hu;Jiawei Han

  • Spectral Regression for Efficient Regularized Subspace Learning

    Deng Cai;Xiaofei He;Jiawei Han

  • Locally Consistent Concept Factorization for Document Clustering

    Deng Cai;Xiaofei He;Jiawei Han

  • Music recommendation by unified hypergraph: combining social media information and music content

    Jiajun Bu;Shulong Tan;Chun Chen;Can Wang

  • CLRNet: Cross Layer Refinement Network for Lane Detection

    Unknown

  • Hierarchical Clustering of WWW Image Search Results Using Visual

    Deng Cai;Xiaofei He;Wei-Ying Ma;Ji-Rong Wen

Frequent Co-Authors

Deng Cai
Deng Cai Zhejiang University
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Jiajun Bu
Jiajun Bu Zhejiang University
Chun Chen
Chun Chen Zhejiang University
Yueting Zhuang
Yueting Zhuang Zhejiang University
Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Zhou Zhao
Zhou Zhao Zhejiang University
Ji-Rong Wen
Ji-Rong Wen Renmin University of China
Jieping Ye
Jieping Ye Alibaba Group (China)

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