World's Best Scientists 2026 revealed!
Zhifeng Zhao

Zhifeng Zhao

D-Index & Metrics

Computer Science

D-Index
33
Citations
5504
World Ranking
12555
National Ranking
1541

Zhifeng Zhao 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 Zhifeng Zhao 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Zhifeng Zhao 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 Zhifeng Zhao 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Zhifeng Zhao is a researcher affiliated with Zhejiang Lab in China, with a significant body of work primarily focused on computer science and engineering disciplines.

Their research spans several main fields of study, including:

  • Computer Science
  • Engineering

Within these broad fields, their work addresses a variety of subfields of study such as:

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

Zhifeng Zhao's research covers several main topics, highlighting a focus on both theoretical and applied aspects, including:

  • Wireless Signal Modulation Classification
  • Advanced Fluorescence Microscopy Techniques
  • Distributed Control Multi-Agent Systems
  • Privacy-Preserving Technologies in Data
  • Photoacoustic and Ultrasonic Imaging
  • Software-Defined Networks and 5G
  • Opportunistic and Delay-Tolerant Networks

The researcher has contributed to the academic community through publications in various venues, with frequent appearances in:

  • arXiv (Cornell University)
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Mobile Computing
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Methods

Among several published papers, notable examples include:

  • Intelligent Computing: The Latest Advances, Challenges, and Future, 2023, Intelligent Computing
  • Reinforcing neuron extraction and spike inference in calcium imaging using deep self-supervised denoising, 2021, Nature Methods
  • Real-time denoising enables high-sensitivity fluorescence time-lapse imaging beyond the shot-noise limit, 2022, Nature Biotechnology
  • The LSTM-Based Advantage Actor-Critic Learning for Resource Management in Network Slicing With User Mobility, 2020, IEEE Communications Letters
  • Semantic Communication With Adaptive Universal Transformer, 2021, IEEE Wireless Communications Letters

Their collaborative work involves frequent co-authors such as:

  • Rongpeng Li
  • Honggang Zhang
  • Jiamin Wu
  • Chenghui Peng
  • Jian Wu

Best Publications

  • Intelligent 5G: When Cellular Networks Meet Artificial Intelligence

    Rongpeng Li;Zhifeng Zhao;Xuan Zhou;Guoru Ding

  • Deep Learning with Long Short-Term Memory for Time Series Prediction

    Yuxiu Hua;Zhifeng Zhao;Rongpeng Li;Xianfu Chen

  • Deep Reinforcement Learning for Resource Management in Network Slicing

    Rongpeng Li;Zhifeng Zhao;Qi Sun;Chih-Lin I

  • AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks

    Jiaqi Li;Zhifeng Zhao;Rongpeng Li;Honggang Zhang

  • GAN-Powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing

    Yuxiu Hua;Rongpeng Li;Zhifeng Zhao;Xianfu Chen

  • TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access Networks

    Rongpeng Li;Zhifeng Zhao;Xianfu Chen;Jacques Palicot

  • The Learning and Prediction of Application-Level Traffic Data in Cellular Networks

    Rongpeng Li;Zhifeng Zhao;Jianchao Zheng;Chengli Mei

  • The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice

    Rongpeng Li;Zhifeng Zhao;Xuan Zhou;Jacques Palicot

  • Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach

    Xianfu Chen;Zhifeng Zhao;Celimuge Wu;Mehdi Bennis

  • Rethinking Modern Communication from Semantic Coding to Semantic Communication

    Kun Lu;Qingyang Zhou;Rongpeng Li;Zhifeng Zhao

  • The LSTM-Based Advantage Actor-Critic Learning for Resource Management in Network Slicing With User Mobility

    Rongpeng Li;Chujie Wang;Zhifeng Zhao;Rongbin Guo

  • Semantic Communication with Adaptive Universal Transformer

    Qingyang Zhou;Rongpeng Li;Zhifeng Zhao;Chenghui Peng

  • Deep Reinforcement Learning With Discrete Normalized Advantage Functions for Resource Management in Network Slicing

    Chen Qi;Yuxiu Hua;Rongpeng Li;Zhifeng Zhao

  • Stochastic Power Adaptation with Multiagent Reinforcement Learning for Cognitive Wireless Mesh Networks

    Xianfu Chen;Zhifeng Zhao;Honggang Zhang

  • Semantics-Empowered Communications: A Tutorial-Cum-Survey

    Unknown

  • NetGPT: An AI-Native Network Architecture for Provisioning Beyond Personalized Generative Services

    Unknown

  • Machine learning-based IDS for software-defined 5G network

    Jiaqi Li;Zhifeng Zhao;Rongpeng Li

  • Graph Attention Network-Based Multi-Agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network

    Yan Shao;Rongpeng Li;Bing Hu;Yingxiao Wu

  • Cooperative Multilayer Edge Caching in Integrated Satellite-Terrestrial Networks

    Xiangming Zhu;Chunxiao Jiang;Linling Kuang;Zhifeng Zhao

  • Towards green wireless access networks

    Tao Chen;Honggang Zhang;Zhifeng Zhao;Xianfu Chen

  • The predictability of cellular networks traffic

    Xuan Zhou;Zhifeng Zhao;Rongpeng Li;Yifan Zhou

  • GAN-Based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing

    Yuxiu Hua;Rongpeng Li;Zhifeng Zhao;Honggang Zhang

  • Deep Reinforcement Learning for Resource Management in Network Slicing

    Rongpeng Li;Zhifeng Zhao;Qi Sun;Chi-Lin I

Frequent Co-Authors

Honggang Zhang
Honggang Zhang Zhejiang University
Tao Chen
Tao Chen VTT Technical Research Centre of Finland
Mehdi Bennis
Mehdi Bennis University of Oulu
Jon Crowcroft
Jon Crowcroft University of Cambridge
Chunxiao Jiang
Chunxiao Jiang Tsinghua University
Yusheng Ji
Yusheng Ji National Institute of Informatics
David Grace
David Grace University of York
Chenyang Yang
Chenyang Yang Beihang University
Zhu Han
Zhu Han University of Houston
Hang Liu
Hang Liu Wuhan University of Technology

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