World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
73
Citations
26363
World Ranking
1561
National Ranking
815

Wenjun Zeng 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 Zeng 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: 335 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Wenjun Zeng 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 Zeng 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: 73 D-Index — 89th percentile

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

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

Overview

Wenjun Zeng is a researcher affiliated with Microsoft in the United States. Their research activity is primarily situated within the field of Computer Science, with an emphasis on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Biomedical Engineering, and Human-Computer Interaction.

Their scholarly work spans various topics, including:

  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Gait Recognition and Analysis

Wenjun Zeng has frequently published in several academic venues. These include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)

Some recent papers authored by or associated with Wenjun Zeng include:

  • Generalizing to Unseen Domains: A Survey on Domain Generalization, 2022, IEEE Transactions on Knowledge and Data Engineering
  • CNSA: a data repository for archiving omics data, 2020, Database
  • PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Correlation-Aware Deep Tracking, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborators in their research include:

  • Cuiling Lan (40 joint publications)
  • Zhibo Chen (29 joint publications)
  • Xin Jin (21 joint publications)
  • Chunyu Wang (16 joint publications)
  • Zhizheng Zhang (12 joint publications)

Best Publications

  • Benchmarking Single-Image Dehazing and Beyond

    Boyi Li;Wenqi Ren;Dengpan Fu;Dacheng Tao

  • FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking

    Yifu Zhang;Chunyu Wang;Xinggang Wang;Wenjun Zeng

  • Image-adaptive watermarking using visual models

    C.I. Podilchuk;Wenjun Zeng

  • An end-to-end spatio-temporal attention model for human action recognition from skeleton data

    Sijie Song;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks

    Wentao Zhu;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Generalizing to Unseen Domains: A Survey on Domain Generalization

    Jindong Wang;Cuiling Lan;Chang Liu;Yidong Ouyang

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • A Twofold Siamese Network for Real-Time Object Tracking

    Anfeng He;Chong Luo;Xinmei Tian;Wenjun Zeng

  • View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

    Pengfei Zhang;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Relation-Aware Global Attention for Person Re-Identification

    Zhizheng Zhang;Cuiling Lan;Wenjun Zeng;Xin Jin

  • Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition

    Pengfei Zhang;Cuiling Lan;Wenjun Zeng;Junliang Xing

  • Efficient frequency domain selective scrambling of digital video

    Wenjun Zeng;S. Lei

  • View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition

    Pengfei Zhang;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Style Normalization and Restitution for Generalizable Person Re-Identification

    Xin Jin;Cuiling Lan;Wenjun Zeng;Zhibo Chen

  • PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network

    Dacheng Yin;Chong Luo;Zhiwei Xiong;Wenjun Zeng

  • A statistical watermark detection technique without using original images for resolving rightful ownerships of digital images

    Wenjun Zeng;B. Liu

  • Efficient Compression of Encrypted Grayscale Images

    Wei Liu;Wenjun Zeng;Lina Dong;Qiuming Yao

  • Densely Semantically Aligned Person Re-Identification

    Zhizheng Zhang;Cuiling Lan;Wenjun Zeng;Zhibo Chen

  • A format-compliant configurable encryption framework for access control of video

    Jiangtao Wen;M. Severa;Wenjun Zeng;M.H. Luttrell

  • SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking

    Guangting Wang;Chong Luo;Zhiwei Xiong;Wenjun Zeng

Frequent Co-Authors

Cuiling Lan
Cuiling Lan Microsoft (United States)
Junliang Xing
Junliang Xing Tsinghua University
Feng Wu
Feng Wu University of Science and Technology of China
Xiaoyan Sun
Xiaoyan Sun University of Science and Technology of China
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
Jingdong Wang
Jingdong Wang Baidu (China)
Jianru Xue
Jianru Xue Xi'an Jiaotong University
Wenyu Liu
Wenyu Liu Huazhong University of Science and Technology
Jiaying Liu
Jiaying Liu Peking University
Xinggang Wang
Xinggang Wang Huazhong University of Science and Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in Computer Science opens up flexible learning options for students with different backgrounds and academic histories. Many universities for low gpa offer online Computer Science programs, making quality education more accessible to those who might not meet traditional entry requirements.

Accelerated programs can help you fast-track your studies, with some of the fastest computer science degree options allowing you to graduate quicker than standard programs. This is ideal if you’re eager to enter the workforce or pivot careers swiftly.

Interdisciplinary opportunities also exist—for example, combining expertise in computer science, environmental science, and engineering. Students interested in sustainability or technology-driven solutions can consider the online environmental engineering degree science and engineering pathway. A broader education in related fields expands career prospects, such as roles you can pursue with jobs with elementary education and environmental science degree.

With the growing demand for tech professionals and flexible online options, now is an excellent time to consider how different online degrees and interdisciplinary studies can shape your unique career pathway.

Best Scientists Citing Wenjun Zeng

Trending Scientists

Recently Published Articles