World's Best Scientists 2026 revealed!
Xiaofei Wang

Xiaofei Wang

D-Index & Metrics

Computer Science

D-Index
42
Citations
10401
World Ranking
8229
National Ranking
1079

Overview

Xiaofei Wang is affiliated with Tianjin University in China and has a significant body of research spanning computer science and engineering disciplines. Their work focuses extensively on computer networks, communications, and artificial intelligence, reflecting contributions across multiple subfields and topics.

The primary fields of study covered by Wang include:

  • Computer Science
  • Engineering

Within these fields, the subfields of study most represented in their research are:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Information Systems
  • Computer Vision and Pattern Recognition
  • Signal Processing

The main topics Wang has explored through their publications include:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Privacy-Preserving Technologies in Data
  • Caching and Content Delivery
  • Cloud Computing and Resource Management
  • Speech and Audio Processing
  • Speech Recognition and Synthesis

They have contributed to multiple academic venues, with frequent publications appearing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • IEEE Network
  • IEEE Transactions on Cloud Computing
  • IEEE Internet of Things Journal

Among the recent papers published by Xiaofei Wang are:

  • "Convergence of Edge Computing and Deep Learning: A Comprehensive Survey," 2020, IEEE Communications Surveys & Tutorials
  • "Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching," 2020, IEEE Internet of Things Journal
  • "Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching," 2020, IEEE Journal on Selected Areas in Communications

Other notable papers, with co-authors as first authors, include:

  • "EC-SAGINs: Edge-Computing-Enhanced Space-Air-Ground-Integrated Networks for Internet of Vehicles," 2022, IEEE Internet of Things Journal
  • "Multitask Offloading Strategy Optimization Based on Directed Acyclic Graphs for Edge Computing," 2021, IEEE Internet of Things Journal

The researcher has notable collaborations with other scientists such as Chao Qiu, Victor C. M. Leung, Xiuhua Li, Xiaoxu Ren, and Dusit Niyato.

Book contributions by Wang include titles published by:

  • Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering: "6GN for Future Wireless Networks" (2020)
  • Springer International Publishing: "Integrating Edge Intelligence and Blockchain" (2022)

Best Publications

  • Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

    Xiaofei Wang;Yiwen Han;Victor C. M. Leung;Dusit Niyato

  • Cache in the air: exploiting content caching and delivery techniques for 5G systems

    Xiaofei Wang;Min Chen;Tarik Taleb;Adlen Ksentini

  • In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

    Xiaofei Wang;Yiwen Han;Chenyang Wang;Qiyang Zhao

  • Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

    Xiaofei Wang;Yiwen Han;Victor C.M. Leung;Dusit Niyato

  • Federated learning for 6G communications: Challenges, methods, and future directions

    Yi Liu;Xingliang Yuan;Zehui Xiong;Jiawen Kang

  • A Survey of Green Mobile Networks: Opportunities and Challenges

    Xiaofei Wang;Athanasios V. Vasilakos;Min Chen;Yunhao Liu

  • Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching

    Xiaofei Wang;Chenyang Wang;Xiuhua Li;Victor C. M. Leung

  • Cloud-enabled wireless body area networks for pervasive healthcare

    Jiafu Wan;Caifeng Zou;Sana Ullah;Chin-Feng Lai

  • Dynamic Resource Prediction and Allocation for Cloud Data Center Using the Multiobjective Genetic Algorithm

    Fan-Hsun Tseng;Xiaofei Wang;Li-Der Chou;Han-Chieh Chao

  • Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and Challenges

    Xiaofei Wang;Xiuhua Li;Victor C. M. Leung

  • Wireless Sensor Networks

    Jianzhong Li;Huadong Ma;Keqiu Li;Li Cui

  • EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles

    Shuai Yu;Xiaowen Gong;Qian Shi;Xiaofei Wang

  • AMES-Cloud: A Framework of Adaptive Mobile Video Streaming and Efficient Social Video Sharing in the Clouds

    Xiaofei Wang;Min Chen;T. T. Kwon;Laurence T. Yang

  • D2D Big Data: Content Deliveries over Wireless Device-to-Device Sharing in Large-Scale Mobile Networks

    Xiaofei Wang;Yuhua Zhang;Victor C. M. Leung;Nadra Guizani

  • TOSS: Traffic offloading by social network service-based opportunistic sharing in mobile social networks

    Xiaofei Wang;Min Chen;Zhu Han;Dapeng Oliver Wu

  • Hierarchical Edge Caching in Device-to-Device Aided Mobile Networks: Modeling, Optimization, and Design

    Xiuhua Li;Xiaofei Wang;Peng-Jun Wan;Zhu Han

  • Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching

    Xiaofei Wang;Ruibin Li;Chenyang Wang;Xiuhua Li

  • Collaborative Multi-Tier Caching in Heterogeneous Networks: Modeling, Analysis, and Design

    Xiuhua Li;Xiaofei Wang;Keqiu Li;Zhu Han

  • Multi-Task Offloading Strategy Optimization based on Directed Acyclic Graphs for Edge Computing

    Jiawen Chen;Yajun Yang;Chenyang Wang;Heng Zhang

  • Smart Home 2.0: Innovative Smart Home System Powered by Botanical IoT and Emotion Detection

    Min Chen;Jun Yang;Xuan Zhu;Xuan Zhu;Xiaofei Wang

  • Anomaly secure detection methods by analyzing dynamic characteristics of the network traffic in cloud communications

    Wei Xiong;Wei Xiong;Hanping Hu;Naixue Xiong;Laurence T. Yang

  • InFEDge: A Blockchain-Based Incentive Mechanism in Hierarchical Federated Learning for End-Edge-Cloud Communications

    Unknown

  • Networking Integrated Cloud–Edge–End in IoT: A Blockchain-Assisted Collective Q -Learning Approach

    Chao Qiu;Xiaofei Wang;Haipeng Yao;Jianbo Du

  • Cloud-assisted adaptive video streaming and social-aware video prefetching for mobile users

    Xiaofei Wang;Ted Taekyoung Kwon;Yanghee Choi;Haiyang Wang

  • Multiple mobile agents' itinerary planning in wireless sensor networks: survey and evaluation

    Xiaofei Wang;Min Chen;Taekyoung Kwon;Han-Chieh Chao

Frequent Co-Authors

Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Min Chen
Min Chen South China University of Technology
Xu Chen
Xu Chen Sun Yat-sen University
Yanghee Choi
Yanghee Choi Seoul National University
Dusit Niyato
Dusit Niyato Nanyang Technological University
Zhu Han
Zhu Han University of Houston
Tarik Taleb
Tarik Taleb Ruhr University Bochum
Keqiu Li
Keqiu Li Tianjin University
Sangheon Pack
Sangheon Pack Korea University
F. Richard Yu
F. Richard Yu Carleton University

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