World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
87
Citations
27051
World Ranking
733
National Ranking
111

Feng 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 Feng 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: 678 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Feng 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 Feng 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: 87 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Overview

Feng Wu is affiliated with the University of Science and Technology of China in China and works primarily in the field of Computer Science, with a focus on Computer Vision and Pattern Recognition. Their research contributions encompass various subfields, including Signal Processing, Media Technology, Electrical and Electronic Engineering, and Biophysics.

The scientist's work addresses diverse topics such as:

  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Advanced Data Compression Techniques
  • Advanced Vision and Imaging
  • Video Coding and Compression Technologies
  • Advanced Image and Video Retrieval Techniques
  • Image Processing Techniques and Applications

Feng Wu has co-authored frequently with several researchers, including:

  • Dong Liu
  • Li Li
  • Zhiwei Xiong
  • Siwei Ma
  • Changsheng Gao

Their recent notable publications include:

  • "Deep Learning-Based Video Coding," 2020, ACM Computing Surveys
  • "Deep-PCAC: An End-to-End Deep Lossy Compression Framework for Point Cloud Attributes," 2021, IEEE Transactions on Multimedia
  • "SSSIC: Semantics-to-Signal Scalable Image Coding With Learned Structural Representations," 2021, IEEE Transactions on Image Processing
  • "Successive Graph Convolutional Network for Image De-raining," 2021, International Journal of Computer Vision
  • "TDPN: Texture and Detail-Preserving Network for Single Image Super-Resolution," 2022, IEEE Transactions on Image Processing

Feng Wu's publications are distributed across multiple respected venues, with frequent contributions to:

  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Image Processing
  • arXiv (Cornell University)
  • ACM Computing Surveys

Best Publications

  • Compressive data gathering for large-scale wireless sensor networks

    Chong Luo;Feng Wu;Jun Sun;Chang Wen Chen

  • A framework for efficient progressive fine granularity scalable video coding

    Feng Wu;Shipeng Li;Ya-Qin Zhang

  • Background Prior-Based Salient Object Detection via Deep Reconstruction Residual

    Junwei Han;Dingwen Zhang;Xintao Hu;Lei Guo

  • Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer

    Yulin Li;Jianfeng He;Tianzhu Zhang;Xiang Liu

  • Efficient Parallel Framework for HEVC Motion Estimation on Many-Core Processors

    Chenggang Clarence Yan;Yongdong Zhang;Jizheng Xu;Feng Dai

  • Multi-Modality Cross Attention Network for Image and Sentence Matching

    Xi Wei;Tianzhu Zhang;Yan Li;Yongdong Zhang

  • A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors

    Chenggang Yan;Yongdong Zhang;Jizheng Xu;Feng Dai

  • A Convolutional Neural Network Approach for Post-Processing in HEVC Intra Coding

    Yuanying Dai;Dong Liu;Feng Wu

  • IMPROVED VIDEO DECODING METHOD AND APPARATUS

    Tourapis Alexandros;Wu Feng;Li Shipeng

  • HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Images

    Zhan Shi;Chang Chen;Zhiwei Xiong;Dong Liu

  • Adaptive Directional Lifting-Based Wavelet Transform for Image Coding

    Wenpeng Ding;Feng Wu;Xiaolin Wu;Shipeng Li

  • Efficient Measurement Generation and Pervasive Sparsity for Compressive Data Gathering

    Chong Luo;Feng Wu;Jun Sun;Chang Wen Chen

  • An Iterative BP-CNN Architecture for Channel Decoding

    Fei Liang;Cong Shen;Feng Wu

  • Towards Optimal Power Control via Ensembling Deep Neural Networks

    Fei Liang;Cong Shen;Wei Yu;Feng Wu

  • Learning to Assemble Neural Module Tree Networks for Visual Grounding

    Daqing Liu;Hanwang Zhang;Zheng-Jun Zha;Feng Wu

  • HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections

    Zhiwei Xiong;Zhan Shi;Huiqun Li;Lizhi Wang

  • Image Compression With Edge-Based Inpainting

    Dong Liu;Xiaoyan Sun;Feng Wu;Shipeng Li

  • Timestamp-independent motion vector prediction for predictive (P) and bidirectionally predictive (B) pictures

    Alexandros Tourapis;Shipeng Li;Feng Wu;Gary J. Sullivan

  • Systems and methods with error resilience in enhancement layer bitstream of scalable video coding

    Ya-Qin Zhang;Shipeng Li;Feng Wu;Rong Yan

  • Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark

    Xiao Wang;Xiujun Shu;Zhipeng Zhang;Bo Jiang

  • Pseudo-sequence-based light field image compression

    Dong Liu;Lizhi Wang;Li Li;Zhiwei Xiong

Frequent Co-Authors

Shipeng Li
Shipeng Li Chinese University of Hong Kong, Shenzhen
Xiaoyan Sun
Xiaoyan Sun University of Science and Technology of China
Dong Liu
Dong Liu University of Science and Technology of China
Wen Gao
Wen Gao Peking University
Yan Lu
Yan Lu Microsoft Research Asia (China)
Houqiang Li
Houqiang Li University of Science and Technology of China
Ruiqin Xiong
Ruiqin Xiong Peking University
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
Ya-Qin Zhang
Ya-Qin Zhang Tsinghua University
Guangming Shi
Guangming Shi Xidian University

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