World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
13254
World Ranking
4523
National Ranking
603

Pan Zhou 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 Pan Zhou 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: 219 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Pan Zhou 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 Pan Zhou 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Pan Zhou is affiliated with Huazhong University of Science and Technology in China and has a significant number of publications primarily focused on computer science. Their research contributions span a variety of subfields and topics within this domain, reflecting a broad interest in advanced technological areas.

The main fields of study for Pan Zhou include:

  • Computer Science

Within computer science, Pan Zhou's work is concentrated in several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Information Systems

The scientist's research engages deeply with several main topics, which are:

  • Multimodal Machine Learning Applications
  • Privacy-Preserving Technologies in Data
  • Human Pose and Action Recognition
  • IoT and Edge/Fog Computing
  • Adversarial Robustness in Machine Learning
  • Age of Information Optimization
  • Video Analysis and Summarization

Pan Zhou's recent publications highlight a focus on image processing, reinforcement learning, mobile and edge computing, and secure data management. Selected recent papers include:

  • EnlightenGAN: Deep Light Enhancement Without Paired Supervision (2021), published in IEEE Transactions on Image Processing
  • Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks (2020), IEEE Transactions on Vehicular Technology
  • Client Selection for Federated Learning With Non-IID Data in Mobile Edge Computing (2021), IEEE Access
  • Multiagent Deep Reinforcement Learning for Joint Multichannel Access and Task Offloading of Mobile-Edge Computing in Industry 4.0 (2020), IEEE Internet of Things Journal
  • GuardHealth: Blockchain empowered secure data management and Graph Convolutional Network enabled anomaly detection in smart healthcare (2020), Journal of Parallel and Distributed Computing

The scientist has coauthored extensively with several researchers, with frequent collaborators including:

  • Zichuan Xu
  • Daizong Liu
  • Dapeng Wu
  • Xiaoye Qu
  • Weifa Liang

Pan Zhou has a notable presence in a variety of publication venues. The most frequent publishing outlets include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Network Science and Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Mobile Computing

Best Publications

  • EnlightenGAN: Deep Light Enhancement Without Paired Supervision

    Yifan Jiang;Xinyu Gong;Ding Liu;Yu Cheng

  • A Survey of Model Compression and Acceleration for Deep Neural Networks

    Yu Cheng;Duo Wang;Pan Zhou;Tao Zhang

  • Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges

    Yu Cheng;Duo Wang;Pan Zhou;Tao Zhang

  • Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks

    Jie Xu;Lixing Chen;Pan Zhou

  • Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification

    Shuangjie Xu;Yu Cheng;Kang Gu;Yang Yang

  • Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks

    Tong Wu;Pan Zhou;Kai Liu;Yali Yuan

  • Sentiment Analysis Using Convolutional Neural Network

    Xi Ouyang;Pan Zhou;Cheng Hua Li;Lijun Liu

  • Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning

    Ronghui Ju;Chenhui Hu;Pan Zhou;Quanzheng Li

  • CLU-CNNs: Object detection for medical images

    Zhuoling Li;Minghui Dong;Shiping Wen;Xiang Hu

  • Client Selection for Federated Learning With Non-IID Data in Mobile Edge Computing

    Wenyu Zhang;Xiumin Wang;Pan Zhou;Weiwei Wu

  • Routing and Scheduling for Hybrid Truck-Drone Collaborative Parcel Delivery With Independent and Truck-Carried Drones

    Desheng Wang;Peng Hu;Jingxuan Du;Pan Zhou

  • Early Fault Detection Approach With Deep Architectures

    Weining Lu;Yipeng Li;Yu Cheng;Deshan Meng

  • Collaborative Service Placement for Edge Computing in Dense Small Cell Networks

    Lixing Chen;Cong Shen;Pan Zhou;Jie Xu

  • GuardHealth: Blockchain empowered secure data management and Graph Convolutional Network enabled anomaly detection in smart healthcare

    Unknown

  • Multiagent Deep Reinforcement Learning for Joint Multichannel Access and Task Offloading of Mobile-Edge Computing in Industry 4.0

    Zilong Cao;Pan Zhou;Ruixuan Li;Siqi Huang

  • Context-aware Biaffine Localizing Network for Temporal Sentence Grounding

    Daizong Liu;Xiaoye Qu;Jianfeng Dong;Pan Zhou

  • A Hybrid Genetic Algorithm on Routing and Scheduling for Vehicle-Assisted Multi-Drone Parcel Delivery

    Kai Peng;Jingxuan Du;Fang Lu;Qianguo Sun

  • Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization

    Daizong Liu;Xiaoye Qu;Xiao-Yang Liu;Jianfeng Dong

  • A Convolutional Neural Network for Leaves Recognition Using Data Augmentation

    Chaoyun Zhang;Pan Zhou;Chenghua Li;Lijun Liu

  • Robust discrete code modeling for supervised hashing

    Yadan Luo;Yang Yang;Fumin Shen;Zi Huang

  • Joint Power and Rate Control in Cognitive Radio Networks: A Game-Theoretical Approach

    Pan Zhou;Wei Yuan;Wei Liu;Wenqing Cheng

  • Federated Mutual Learning

    Tao Shen;Jie Zhang;Xinkang Jia;Fengda Zhang

Frequent Co-Authors

Zichuan Xu
Zichuan Xu Dalian University of Technology
Dapeng Wu
Dapeng Wu City University of Hong Kong
Yu Cheng
Yu Cheng Microsoft (United States)
Shiping Wen
Shiping Wen University of Technology Sydney
Shouling Ji
Shouling Ji Zhejiang University
Kaigui Bian
Kaigui Bian Peking University
Weifa Liang
Weifa Liang City University of Hong Kong
Hai Jin
Hai Jin Huazhong University of Science and Technology
Patrick P. C. Lee
Patrick P. C. Lee Chinese University of Hong Kong
Wenzheng Xu
Wenzheng Xu Sichuan University

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