World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
18278
World Ranking
4699
National Ranking
629

Pengfei Zhu 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 Pengfei Zhu 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: 157 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Pengfei Zhu 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 Pengfei Zhu 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

Pengfei Zhu is affiliated with Tianjin University in China and has contributed extensively to research in computer science and engineering, with a strong focus on computer vision, pattern recognition, and artificial intelligence.

The scientist's publication record includes notable papers such as:

  • Detection and Tracking Meet Drones Challenge (2021, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning (2022, IEEE Transactions on Circuits and Systems for Video Technology)
  • DetFusion: A Detection-driven Infrared and Visible Image Fusion Network (2022, Proceedings of the 30th ACM International Conference on Multimedia)
  • Single Image Deraining Using Bilateral Recurrent Network (2020, IEEE Transactions on Image Processing)
  • Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection (2022, IEEE Transactions on Multimedia)

The frequent collaborators associated with Pengfei Zhu include:

  • Qinghua Hu
  • Bing Cao
  • Dawei Du
  • Yu Wang
  • Longyin Wen

The scientist often publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Multimedia
  • Proceedings of the AAAI Conference on Artificial Intelligence

Pengfei Zhu's research spans main fields of Computer Science and Engineering, with significant specialization in subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Economics and Econometrics

The scientist focuses on topics such as:

  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Anomaly Detection Techniques and Applications
  • UAV Applications and Optimization
  • Market Dynamics and Volatility

Best Publications

  • ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

    Qilong Wang;Banggu Wu;Pengfei Zhu;Peihua Li

  • Progressive Image Deraining Networks: A Better and Simpler Baseline

    Dongwei Ren;Wangmeng Zuo;Qinghua Hu;Pengfei Zhu

  • Detection and Tracking Meet Drones Challenge.

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • Latent Multi-view Subspace Clustering

    Changqing Zhang;Qinghua Hu;Huazhu Fu;Pengfei Zhu

  • Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

    Yiming Sun;Bing Cao;Pengfei Zhu;Qinghua Hu

  • VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results

    Dawei Du;Yue Zhang;Zexin Wang;Zhikang Wang

  • Vision Meets Drones: A Challenge

    Pengfei Zhu;Longyin Wen;Xiao Bian;Haibin Ling

  • Unsupervised feature selection by regularized self-representation

    Pengfei Zhu;Wangmeng Zuo;Lei Zhang;Qinghua Hu

  • VisDrone-DET2021: The Vision Meets Drone Object Detection Challenge Results

    Yaru Cao;Zhijian He;Lujia Wang;Wenguan Wang

  • One-Step Multi-View Spectral Clustering

    Xiaofeng Zhu;Shichao Zhang;Wei He;Rongyao Hu

  • Multi-scale patch based collaborative representation for face recognition with margin distribution optimization

    Pengfei Zhu;Lei Zhang;Qinghua Hu;Simon C. K. Shiu

  • Subspace clustering guided unsupervised feature selection

    Pengfei Zhu;Wencheng Zhu;Qinghua Hu;Changqing Zhang

  • Face recognition based on regularized nearest points between image sets

    Meng Yang;Pengfei Zhu;Luc Van Gool;Lei Zhang

  • A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets

    Degang Chen;Lei Zhang;Suyun Zhao;Qinghua Hu

  • Multi-label feature selection with missing labels

    Pengfei Zhu;Qian Xu;Qinghua Hu;Changqing Zhang

  • Deterministic and probabilistic wind power forecasting using a variational Bayesian-based adaptive robust multi-kernel regression model

    Yun Wang;Qinghua Hu;Deyu Meng;Pengfei Zhu

  • PIRM challenge on perceptual image enhancement on smartphones: Report

    Andrey Ignatov;Radu Timofte;Thang Van Vu;Tung Minh Luu

  • Image Set-Based Collaborative Representation for Face Recognition

    Pengfei Zhu;Wangmeng Zuo;Lei Zhang;Simon Chi-Keung Shiu

  • VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • From Point to Set: Extend the Learning of Distance Metrics

    Pengfei Zhu;Lei Zhang;Wangmeng Zuo;David Zhang

  • Vision Meets Drones: Past, Present and Future

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • Rule learning for classification based on neighborhood covering reduction

    Yong Du;Qinghua Hu;Pengfei Zhu;Peijun Ma

Frequent Co-Authors

Qinghua Hu
Qinghua Hu Tianjin University
Changqing Zhang
Changqing Zhang Tianjin University
Longyin Wen
Longyin Wen ByteDance
Dawei Du
Dawei Du ByteDance
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Haibin Ling
Haibin Ling Westlake University
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Liefeng Bo
Liefeng Bo Alibaba Group (United States)
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen

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