World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
72
Citations
23337
World Ranking
801
National Ranking
132

Computer Science

D-Index
75
Citations
25210
World Ranking
1403
National Ranking
191

Dapeng Wu publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Dapeng Wu sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 522 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Dapeng Wu D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Dapeng Wu sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 72 D-Index — 89th percentile

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

The last bar groups every scientist with 111 D-Index or more.

Overview

Dapeng Wu is affiliated with City University of Hong Kong in China and has an extensive research portfolio with a focus on computer science and engineering. Their work spans multiple subfields including computer networks and communications, computer vision and pattern recognition, electrical and electronic engineering, artificial intelligence, and aerospace engineering.

The main fields of study for Dapeng Wu comprise:

  • Computer Science
  • Engineering

Their research interests are reflected in a diverse array of main topics covered in their publications:

  • UAV Applications and Optimization
  • Privacy-Preserving Technologies in Data
  • IoT and Edge/Fog Computing
  • Advanced Wireless Communication Technologies
  • Opportunistic and Delay-Tolerant Networks
  • Advanced MIMO Systems Optimization
  • Age of Information Optimization

Dapeng Wu has contributed to numerous papers, with notable recent publications including:

  • "Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges" (2020), published in IEEE Communications Surveys & Tutorials
  • "Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks" (2020), published in IEEE Transactions on Vehicular Technology
  • "Indoor Intelligent Fingerprint-Based Localization: Principles, Approaches and Challenges" (2020), published in IEEE Communications Surveys & Tutorials
  • "Multiagent Deep Reinforcement Learning for Joint Multichannel Access and Task Offloading of Mobile-Edge Computing in Industry 4.0" (2020), published in IEEE Internet of Things Journal
  • "Caching in Vehicular Named Data Networking: Architecture, Schemes and Future Directions" (2020), published in IEEE Communications Surveys & Tutorials

The venues where Dapeng Wu most frequently publishes include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Emerging Topics in Computational Intelligence

Throughout their career, Dapeng Wu has collaborated notably with several researchers, often co-authoring with:

  • Tony Q. S. Quek
  • Xianbin Cao
  • Pan Zhou
  • Zhengchuan Chen
  • Tie Qiu

Best Publications

  • Effective capacity: a wireless link model for support of quality of service

    Dapeng Wu;R. Negi

  • Streaming video over the Internet: approaches and directions

    Dapeng Wu;Y.T. Hou;Wenwu Zhu;Ya-Qin Zhang

  • Energy-Optimal Mobile Cloud Computing under Stochastic Wireless Channel

    Weiwen Zhang;Yonggang Wen;Kyle Guan;Dan Kilper

  • Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges

    Tie Qiu;Jiancheng Chi;Xiaobo Zhou;Zhaolong Ning

  • Transporting real-time video over the Internet: challenges and approaches

    Dapeng Wu;Yiwei Thoms Hou;Ya-Qin Zhang

  • SORI: a secure and objective reputation-based incentive scheme for ad-hoc networks

    Qi He;Dapeng Wu;P. Khosla

  • Power-rate-distortion analysis for wireless video communication under energy constraints

    Zhihai He;Yongfang Liang;Lulin Chen;I. Ahmad

  • Scalable video coding and transport over broadband wireless networks

    Dapeng Wu;Y.T. Hou;Ya-Qin Zhang

  • On end-to-end architecture for transporting MPEG-4 video over the Internet

    Dapeng Wu;Y.T. Hou;Wenwu Zhu;Hung-Ju Lee

  • Fault-Tolerant and Scalable Key Management for Smart Grid

    Dapeng Wu;Chi Zhou

  • Airborne Communication Networks: A Survey

    Xianbin Cao;Peng Yang;Mohamed Alzenad;Xing Xi

  • Collaborative Task Execution in Mobile Cloud Computing Under a Stochastic Wireless Channel

    Weiwen Zhang;Yonggang Wen;Dapeng Oliver Wu

  • Can We Beat DDoS Attacks in Clouds

    Shui Yu;Yonghong Tian;Song Guo;Dapeng Oliver Wu

  • Optimal User Pairing for Downlink Non-Orthogonal Multiple Access (NOMA)

    Lipeng Zhu;Jun Zhang;Zhenyu Xiao;Xianbin Cao

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

    Tong Wu;Pan Zhou;Kai Liu;Yali Yuan

  • Building underwater ad-hoc networks and sensor networks for large scale real-time aquatic applications

    Jiejun Kong;Jun-hong Cui;Dapeng Wu;M. Gerla

  • Secure localization and authentication in ultra-wideband sensor networks

    Yanchao Zhang;Wei Liu;Yuguang Fang;Dapeng Wu

  • EABS: An Event-Aware Backpressure Scheduling Scheme for Emergency Internet of Things

    Tie Qiu;Ruixuan Qiao;Dapeng Oliver Wu

  • Resource allocation and performance analysis of wireless video sensors

    Zhihai He;Dapeng Wu

  • Indoor Intelligent Fingerprint-Based Localization: Principles, Approaches and Challenges

    Xiaoqiang Zhu;Wenyu Qu;Tie Qiu;Laiping Zhao

  • Energy-efficient scheduling policy for collaborative execution in mobile cloud computing

    Weiwen Zhang;Yonggang Wen;Dapeng Oliver Wu

  • Why Deep Learning Works: A Manifold Disentanglement Perspective

    Pratik Prabhanjan Brahma;Dapeng Wu;Yiyuan She

  • Millimeter-Wave NOMA With User Grouping, Power Allocation and Hybrid Beamforming

    Lipeng Zhu;Jun Zhang;Zhenyu Xiao;Xianbin Cao

Frequent Co-Authors

Yuguang Fang
Yuguang Fang City University of Hong Kong
Pan Zhou
Pan Zhou Huazhong University of Science and Technology
Kejie Lu
Kejie Lu University of Puerto Rico-Mayaguez
Rohit Negi
Rohit Negi Carnegie Mellon University
Pingyi Fan
Pingyi Fan Tsinghua University
Ya-Qin Zhang
Ya-Qin Zhang Tsinghua University
Hung-Hsiang Jonathan Chao
Hung-Hsiang Jonathan Chao New York University
Antonio Nucci
Antonio Nucci Cisco Systems (United States)
Wenwu Zhu
Wenwu Zhu Tsinghua University
Xiaolin Li
Xiaolin Li Pacific Northwest National Laboratory

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