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2025

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Rising Stars

D-Index
52
Citations
12952
World Ranking
265
National Ranking
87

Computer Science

D-Index
57
Citations
16365
World Ranking
3776
National Ranking
502

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Jiawen Kang is affiliated with Guangdong University of Technology in China. Their research focuses primarily on computer science and engineering, with significant contributions in artificial intelligence, computer networks and communications, electrical and electronic engineering, information systems, and computer vision and pattern recognition.

The scientist has published extensively on a range of topics, including:

  • Privacy-Preserving Technologies in Data
  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • UAV Applications and Optimization
  • Advanced Wireless Communication Technologies
  • Transportation and Mobility Innovations
  • Speech Recognition and Synthesis

Jiawen Kang has contributed to multiple recent papers, notable among them are:

  • "Reliable Federated Learning for Mobile Networks," 2020, published in IEEE Wireless Communications
  • "Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach," 2020, IEEE Internet of Things Journal
  • "Fusing Blockchain and AI With Metaverse: A Survey," 2022, IEEE Open Journal of the Computer Society
  • "A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges," 2022, IEEE Communications Surveys & Tutorials
  • "Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach," 2021, IEEE Transactions on Intelligent Transportation Systems

The frequent co-authors in Jiawen Kang's research include Dusit Niyato, Zehui Xiong, Hongyang Du, Dong In Kim, and Minrui Xu.

The scientist's work is published largely in the following venues:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Wireless Communications
  • IEEE Network

Best Publications

  • Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains

    Jiawen Kang;Rong Yu;Xumin Huang;Sabita Maharjan

  • Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things

    Zhetao Li;Jiawen Kang;Rong Yu;Dongdong Ye

  • Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach

    Yi Liu;Sahil Garg;Jiangtian Nie;Yang Zhang

  • Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Shengli Xie

  • Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks

    Jiawen Kang;Rong Yu;Xumin Huang;Maoqiang Wu

  • Fusing Blockchain and AI With Metaverse: A Survey

    Unknown

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

    Yi Liu;Xingliang Yuan;Zehui Xiong;Jiawen Kang

  • A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges

    Unknown

  • Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

    Yi Liu;James J. Q. Yu;Jiawen Kang;Dusit Niyato

  • Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Dongdong Ye

  • Reliable Federated Learning for Mobile Networks

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Yuze Zou

  • Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach

    Wei Yang Bryan Lim;Jianqiang Huang;Zehui Xiong;Jiawen Kang

  • A Secure Federated Learning Framework for 5G Networks

    Yi Liu;Jialiang Peng;Jiawen Kang;Abdullah M. Iliyasu

  • Privacy-Preserved Pseudonym Scheme for Fog Computing Supported Internet of Vehicles

    Jiawen Kang;Rong Yu;Xumin Huang;Yan Zhang

  • Distributed Reputation Management for Secure and Efficient Vehicular Edge Computing and Networks

    Xumin Huang;Rong Yu;Jiawen Kang;Yan Zhang

  • Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Han Yu

  • Exploring Mobile Edge Computing for 5G-Enabled Software Defined Vehicular Networks

    Xumin Huang;Rong Yu;Jiawen Kang;Yejun He

  • MixGroup: Accumulative Pseudonym Exchanging for Location Privacy Enhancement in Vehicular Social Networks

    Rong Yu;Jiawen Kang;Xumin Huang;Shengli Xie

  • Machine Learning-Powered Encrypted Network Traffic Analysis: A Comprehensive Survey

    Unknown

  • Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT

    Unknown

  • Cooperative Resource Management in Cloud-Enabled Vehicular Networks

    Rong Yu;Xumin Huang;Jiawen Kang;Jiefei Ding

  • Cloud/Edge Computing Service Management in Blockchain Networks: Multi-Leader Multi-Follower Game-Based ADMM for Pricing

    Zehui Xiong;Jiawen Kang;Dusit Niyato;Ping Wang

  • Incentivizing Consensus Propagation in Proof-of-Stake Based Consortium Blockchain Networks

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Ping Wang

  • Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Dongdong Ye

Frequent Co-Authors

Dusit Niyato
Dusit Niyato Nanyang Technological University
Zehui Xiong
Zehui Xiong Queen's University Belfast
Rong Yu
Rong Yu Guangdong University of Technology
Chunyan Miao
Chunyan Miao Nanyang Technological University
Dong In Kim
Dong In Kim Sungkyunkwan University
Cyril Leung
Cyril Leung University of British Columbia
Stein Gjessing
Stein Gjessing University of Oslo
Shengli Xie
Shengli Xie Guangdong University of Technology
Sabita Maharjan
Sabita Maharjan University of Oslo
Ping Wang
Ping Wang York University

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