World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5055
World Ranking
13072
National Ranking
1600

Wei Feng 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 Wei Feng 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: 193 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Wei Feng 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 Wei Feng 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Wei Feng is a researcher affiliated with Tianjin University in China, specializing in computer science with a focus on computer vision and pattern recognition. Their body of work encompasses 188 publications, highlighting extensive research in several subfields including artificial intelligence, human-computer interaction, biomedical engineering, and developmental and educational psychology.

The scientist's research primarily centers on topics such as human pose and action recognition, video surveillance and tracking methods, anomaly detection techniques and applications, hand gesture recognition systems, advanced vision and imaging, gait recognition and analysis, and multimodal machine learning applications.

Wei Feng has contributed to a number of recent papers, including the following:

  • Learning Guided Convolutional Network for Depth Completion (2020), IEEE Transactions on Image Processing
  • EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining (2021), Proceedings of the AAAI Conference on Artificial Intelligence
  • Exploring the Effects of Blur and Deblurring to Visual Object Tracking (2021), IEEE Transactions on Image Processing
  • Structural Knowledge Distillation for Efficient Skeleton-Based Action Recognition (2021), IEEE Transactions on Image Processing
  • RNN-Transducer based Chinese Sign Language Recognition (2020), Neurocomputing

Their frequent collaborators include Song Wang, Qing Guo, Ruize Han, Felix Juefei-Xu, and Fan Lyu, with multiple joint publications reflecting sustained research partnerships.

Wei Feng's published work appears prominently in several venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Information Forensics and Security
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Neurocomputing

The researcher's contributions cover a wide spectrum of applications within computer vision and machine learning, addressing technical challenges in real-world contexts such as visual object tracking, action recognition, and image restoration techniques. Their interdisciplinary approach also extends into areas like human-computer interaction and biomedical engineering, demonstrating versatility across related domains.

Best Publications

  • Learning Dynamic Siamese Network for Visual Object Tracking

    Qing Guo;Wei Feng;Ce Zhou;Rui Huang

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Learning Guided Convolutional Network for Depth Completion

    Jie Tang;Fei-Peng Tian;Wei Feng;Jian Li

  • DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

    Hua Qi;Qing Guo;Felix Juefei-Xu;Xiaofei Xie

  • Minimizing sparse higher order energy functions of discrete variables

    Carsten Rother;Pushmeet Kohli;Wei Feng;Jiaya Jia

  • TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting

    Wei Feng;Wenhao He;Fei Yin;Xu-Yao Zhang

  • Self-adaptively Weighted Co-saliency Detection via Rank Constraint.

    Xiaochun Cao;Zhiqiang Tao;Bao Zhang;Huazhu Fu

  • Class Imbalance Ensemble Learning Based on the Margin Theory

    Wei Feng;Wenjiang Huang;Jinchang Ren

  • A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection

    Zhihao Chen;Lei Zhu;Liang Wan;Song Wang

  • From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

    Ye Liu;Lei Zhu;Shunda Pei;Huazhu Fu

  • Auto-Exposure Fusion for Single-Image Shadow Removal

    Lan Fu;Changqing Zhou;Qing Guo;Felix Juefei-Xu

  • Dynamic Saliency-Aware Regularization for Correlation Filter-Based Object Tracking

    Wei Feng;Ruize Han;Qing Guo;Jianke Zhu

  • Video anomaly detection based on a hierarchical activity discovery within spatio-temporal contexts

    Dan Xu;Dan Xu;Rui Song;Xinyu Wu;Xinyu Wu;Nannan Li

  • Self-Validated Labeling of Markov Random Fields for Image Segmentation

    Wei Feng;Jiaya Jia;Zhi-Qiang Liu

  • Learned Map Prediction for Enhanced Mobile Robot Exploration

    Rakesh Shrestha;Fei-Peng Tian;Wei Feng;Ping Tan

  • Continuous Sign Language Recognition with Correlation Network

    Unknown

  • A compact and optimized neural network approach for battery state-of-charge estimation of energy storage system

    Yuanjun Guo;Zhile Yang;Kailong Liu;Yanhui Zhang

  • EfficientDeRain: Learning pixel-wise dilation filtering for high-efficiency single-image deraining

    Qing Guo;Jingyang Sun;Felix Juefei-Xu;Lei Ma

  • Skeleton embedded motion body partition for human action recognition using depth sequences

    Xiaopeng Ji;Xiaopeng Ji;Jun Cheng;Jun Cheng;Wei Feng;Wei Feng;Dapeng Tao

  • SPHORB: A Fast and Robust Binary Feature on the Sphere

    Qiang Zhao;Wei Feng;Liang Wan;Jiawan Zhang

  • SPARK: Spatial-Aware Online Incremental Attack Against Visual Tracking

    Qing Guo;Qing Guo;Xiaofei Xie;Felix Juefei-Xu;Lei Ma

  • Exploring the Effects of Blur and Deblurring to Visual Object Tracking

    Qing Guo;Wei Feng;Ruijun Gao;Yang Liu

  • Structural Knowledge Distillation for Efficient Skeleton-Based Action Recognition

    Cunling Bian;Wei Feng;Liang Wan;Song Wang

  • Watch out! Motion is Blurring the Vision of Your Deep Neural Networks

    Qing Guo;Felix Juefei-Xu;Xiaofei Xie;Lei Ma

  • RNN-Transducer based Chinese Sign Language Recognition

    Liqing Gao;Haibo Li;Zhijian Liu;Zekang Liu

  • Selective Spatial Regularization by Reinforcement Learned Decision Making for Object Tracking

    Qing Guo;Ruize Han;Wei Feng;Zhihao Chen

  • EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

    Qing Guo;Jingyang Sun;Felix Juefei-Xu;Lei Ma

Frequent Co-Authors

Song Wang
Song Wang University of South Carolina
Felix Juefei-Xu
Felix Juefei-Xu Facebook (United States)
Xiaofei Xie
Xiaofei Xie Nanyang Technological University
Jun Cheng
Jun Cheng University of Chinese Academy of Sciences
Cheng-Lin Liu
Cheng-Lin Liu Chinese Academy of Sciences
Wenjiang Huang
Wenjiang Huang Chinese Academy of Sciences
Fei Yin
Fei Yin Chinese Academy of Sciences
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Chi-Man Pun
Chi-Man Pun University of Macau
Zhile Yang
Zhile Yang University of Chinese Academy of Sciences

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