World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
11380
World Ranking
5822
National Ranking
768

Wenjun Zhang 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 Wenjun Zhang 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: 422 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Wenjun Zhang 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 Wenjun Zhang 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Wenjun Zhang is affiliated with Shanghai Jiao Tong University in China. Their research spans multiple disciplines within engineering and computer science, with a primary focus on electrical and electronic engineering and computer vision and pattern recognition.

Their work covers several specialized subfields, including:

  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Aerospace Engineering
  • Signal Processing

Wenjun Zhang's research concentrates on advanced wireless communication techniques and technologies, MIMO systems optimization, telecommunications and broadcasting technologies, IoT networks and protocols, advanced data compression techniques, and image and video quality assessment.

Frequent co-authors collaborating with Zhang include Yongpeng Wu, Dazhi He, Yin Xu, Bingbing Ni, and Li Song, indicating ongoing partnerships in their research efforts.

The scientist has published extensively in well-known venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Broadcasting
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Wireless Communications Letters

Selected recent papers by Wenjun Zhang include:

  • "Adversarial Domain Adaptation with Domain Mixup," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Screen Content Quality Assessment: Overview, Benchmark, and Beyond," 2021, ACM Computing Surveys
  • "Remember Intentions: Retrospective-Memory-based Trajectory Prediction," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Random Access With Massive MIMO-OTFS in LEO Satellite Communications," 2022, IEEE Journal on Selected Areas in Communications
  • "CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications," 2024, IEEE Transactions on Wireless Communications

Wenjun Zhang's publication record features a strong emphasis on topics related to wireless communications and signal processing in both terrestrial and satellite systems, as well as applications in computer vision.

Best Publications

  • Using free energy principle for blind image quality assessment

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • Adversarial Domain Adaptation with Domain Mixup

    Minghao Xu;Jian Zhang;Bingbing Ni;Teng Li

  • Online Multi-Object Tracking with Dual Matching Attention Networks

    Ji Zhu;Hua Yang;Nian Liu;Minyoung Kim

  • No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization

    Ke Gu;Weisi Lin;Guangtao Zhai;Xiaokang Yang

  • Variational Convolutional Neural Network Pruning

    Chenglong Zhao;Bingbing Ni;Jian Zhang;Qiwei Zhao

  • No-Reference Image Sharpness Assessment in Autoregressive Parameter Space

    Ke Gu;Guangtao Zhai;Weisi Lin;Xiaokang Yang

  • A Psychovisual Quality Metric in Free-Energy Principle

    Guangtao Zhai;Xiaolin Wu;Xiaokang Yang;Weisi Lin

  • Saliency-Guided Quality Assessment of Screen Content Images

    Ke Gu;Shiqi Wang;Huan Yang;Weisi Lin

  • Cross-Domain Detection via Graph-Induced Prototype Alignment

    Minghao Xu;Hang Wang;Bingbing Ni;Qi Tian

  • Hybrid No-Reference Quality Metric for Singly and Multiply Distorted Images

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure

    Ke Gu;Shiqi Wang;Guangtao Zhai;Siwei Ma

  • Automatic Contrast Enhancement Technology With Saliency Preservation

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • Quality Evaluation of Image Dehazing Methods Using Synthetic Hazy Images

    Xiongkuo Min;Guangtao Zhai;Ke Gu;Yucheng Zhu

  • 3D Human Action Representation Learning via Cross-View Consistency Pursuit

    Linguo Li;Minsi Wang;Bingbing Ni;Hang Wang

  • Deep Kinematics Analysis for Monocular 3D Human Pose Estimation

    Jingwei Xu;Zhenbo Yu;Bingbing Ni;Jiancheng Yang

  • Analysis of Distortion Distribution for Pooling in Image Quality Prediction

    Ke Gu;Shiqi Wang;Guangtao Zhai;Weisi Lin

  • Cross-Dimensional Perceptual Quality Assessment for Low Bit-Rate Videos

    Guangtao Zhai;Jianfei Cai;Weisi Lin;Xiaokang Yang

  • Learning a blind quality evaluation engine of screen content images

    Ke Gu;Guangtao Zhai;Weisi Lin;Xiaokang Yang

  • Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting

    Muming Zhao;Jian Zhang;Chongyang Zhang;Wenjun Zhang

  • Efficient Image Deblocking Based on Postfiltering in Shifted Windows

    Guangtao Zhai;Wenjun Zhang;Xiaokang Yang;Weisi Lin

  • Quality Assessment Considering Viewing Distance and Image Resolution

    Ke Gu;Min Liu;Guangtao Zhai;Xiaokang Yang

Frequent Co-Authors

Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Guangtao Zhai
Guangtao Zhai Shanghai Jiao Tong University
Ke Gu
Ke Gu Beijing University of Technology
Weisi Lin
Weisi Lin Nanyang Technological University
Yiyan Wu
Yiyan Wu Communications Research Centre Canada
Bingbing Ni
Bingbing Ni Shanghai Jiao Tong University
Yongpeng Wu
Yongpeng Wu Shanghai Jiao Tong University
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Feng Wu
Feng Wu University of Science and Technology of China
Xiongkuo Min
Xiongkuo Min Shanghai Jiao Tong University

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