World's Best Scientists 2026 revealed!
Zhifeng Li

Zhifeng Li

D-Index & Metrics

Computer Science

D-Index
47
Citations
25142
World Ranking
6279
National Ranking
838

Zhifeng Li 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 Zhifeng Li 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: 115 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Zhifeng Li 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 Zhifeng Li 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: 47 D-Index — 56th percentile

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

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

Overview

Zhifeng Li is affiliated with Tencent in China and has an extensive publication record in the field of computer science, with a particular emphasis on computer vision and pattern recognition, artificial intelligence, and signal processing. Their work spans numerous subfields including electrical and electronic engineering as well as media technology.

The main topics addressed in Zhifeng Li's research include adversarial robustness in machine learning, anomaly detection techniques and applications, generative adversarial networks and image synthesis, face recognition and analysis, advanced neural network applications, advanced image processing techniques, and domain adaptation and few-shot learning.

Zhifeng Li has published papers in a variety of prominent venues. These include:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Circuits and Systems for Video Technology

Among recent publications are the following:

  • "Backdoor Learning: A Survey" (2022), IEEE Transactions on Neural Networks and Learning Systems
  • "Image Inpainting With Local and Global Refinement" (2022), IEEE Transactions on Image Processing
  • "End2End Occluded Face Recognition by Masking Corrupted Features" (2021), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Rethinking the Trigger of Backdoor Attack" (2020), arXiv (Cornell University)
  • "Joint Face Image Restoration and Frontalization for Recognition" (2021), IEEE Transactions on Circuits and Systems for Video Technology

Zhifeng Li frequently collaborates with several researchers including Wei Liu, Shu-Tao Xia, Baoyuan Wu, Yiming Li, and Dihong Gong. The number of publications co-authored with these collaborators varies from 10 to 24.

The body of Zhifeng Li's work totals 179 publications in computer science, with a strong focus on addressing challenges related to image and video technologies, security in machine learning, and neural network methodologies.

Best Publications

  • Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

    Kaipeng Zhang;Zhanpeng Zhang;Zhifeng Li;Yu Qiao

  • Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

    Kaipeng Zhang;Zhanpeng Zhang;Zhifeng Li;Yu Qiao

  • A Discriminative Feature Learning Approach for Deep Face Recognition

    Yandong Wen;Kaipeng Zhang;Zhifeng Li;Yu Qiao

  • CosFace: Large Margin Cosine Loss for Deep Face Recognition

    Hao Wang;Yitong Wang;Zheng Zhou;Xing Ji

  • Backdoor Learning: A Survey

    Yiming Li;Baoyuan Wu;Yong Jiang;Zhifeng Li

  • Matching Forensic Sketches to Mug Shot Photos

    Brendan Klare;Zhifeng Li;A K Jain

  • Range Loss for Deep Face Recognition with Long-Tailed Training Data

    Xiao Zhang;Zhiyuan Fang;Yandong Wen;Zhifeng Li

  • Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition

    Yinpeng Dong;Hang Su;Baoyuan Wu;Zhifeng Li

  • Learning Spatial Attention for Face Super-Resolution

    Chaofeng Chen;Dihong Gong;Hao Wang;Zhifeng Li

  • A Discriminative Model for Age Invariant Face Recognition

    Zhifeng Li;Unsang Park;A. K. Jain

  • Nonparametric Discriminant Analysis for Face Recognition

    Zhifeng Li;Dahua Lin;Xiaoou Tang

  • Face Anti-Spoofing: Model Matters, so Does Data

    Xiao Yang;Wenhan Luo;Linchao Bao;Yuan Gao

  • Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network

    Lingxue Song;Dihong Gong;Zhifeng Li;Changsong Liu

  • Real-Time Neural Style Transfer for Videos

    Haozhi Huang;Hao Wang;Wenhan Luo;Lin Ma

  • Image Inpainting With Local and Global Refinement

    Unknown

  • Hidden Factor Analysis for Age Invariant Face Recognition

    Dihong Gong;Zhifeng Li;Dahua Lin;Jianzhuang Liu

  • Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition

    Yandong Wen;Zhifeng Li;Yu Qiao

  • Boundary-Aware Cascade Networks for Temporal Action Segmentation

    Zhenzhi Wang;Ziteng Gao;Limin Wang;Zhifeng Li

  • Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition

    Yitong Wang;Dihong Gong;Zheng Zhou;Xing Ji

  • Detecting Faces Using Region-based Fully Convolutional Networks

    Yitong Wang;Xing Ji;Zheng Zhou;Hao Wang

  • Rethinking the Trigger of Backdoor Attack

    Yiming Li;Tongqing Zhai;Baoyuan Wu;Yong Jiang

  • Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network

    Lingxue Song;Dihong Gong;Zhifeng Li;Changsong Liu

Frequent Co-Authors

Wei Liu
Wei Liu Tencent (China)
Yu Qiao
Yu Qiao Chinese Academy of Sciences
Baoyuan Wu
Baoyuan Wu Chinese University of Hong Kong, Shenzhen
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Dacheng Tao
Dacheng Tao Nanyang Technological University
Xinbo Gao
Xinbo Gao Xidian University
Nannan Wang
Nannan Wang Xidian University
Li Shen
Li Shen Alibaba Group (China)
Xuelong Li
Xuelong Li China Telecom (China)
Helen Meng
Helen Meng Chinese University of Hong Kong

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