World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

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

Electronics and Electrical Engineering

D-Index
72
Citations
23337
World Ranking
801
National Ranking
131

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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