World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
11302
World Ranking
5825
National Ranking
770

Electronics and Electrical Engineering

D-Index
47
Citations
11073
World Ranking
3167
National Ranking
512

Overview

Rong Yu is affiliated with Guangdong University of Technology in China. Their research primarily focuses on areas within Computer Science and Engineering, with notable contributions across several subfields, including Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems, and Automotive Engineering.

Their work covers a range of topics such as Privacy-Preserving Technologies in Data, IoT and Edge/Fog Computing, Vehicular Ad Hoc Networks (VANETs), Blockchain Technology Applications and Security, Mobile Crowdsensing and Crowdsourcing, Stochastic Gradient Optimization Techniques, and Autonomous Vehicle Technology and Safety.

Rong Yu has published extensively in frequent venues, including IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, arXiv (Cornell University), Journal of Physics Conference Series, and IEEE Transactions on Network Science and Engineering. These venues reflect the intersection of their work in network communication, Internet of Things, and vehicular technologies.

Some of their recent papers include:

  • "Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach," 2020, IEEE Access
  • "Toward Resource-Efficient Federated Learning in Mobile Edge Computing," 2021, IEEE Network
  • "Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach," 2021, IEEE Internet of Things Journal
  • "DeepBAN: A Temporal Convolution-Based Communication Framework for Dynamic WBANs," 2021, IEEE Transactions on Communications
  • "Securing parked vehicle assisted fog computing with blockchain and optimal smart contract design," 2020, IEEE/CAA Journal of Automatica Sinica

Their frequent coauthors include Maoqiang Wu, Dongdong Ye, Miao Pan, Jiawen Kang, and Xumin Huang, indicating sustained collaborative efforts in their research community.

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

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

    Jiawen Kang;Rong Yu;Xumin Huang;Maoqiang Wu

  • Home M2M networks: Architectures, standards, and QoS improvement

    Yan Zhang;Rong Yu;Shengli Xie;Wenqing Yao

  • Toward cloud-based vehicular networks with efficient resource management

    Rong Yu;Yan Zhang;Stein Gjessing;Wenlong Xia

  • Cognitive machine-to-machine communications: visions and potentials for the smart grid

    Yan Zhang;Rong Yu;Maziar Nekovee;Yi Liu

  • Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach

    Dongdong Ye;Rong Yu;Miao Pan;Zhu Han

  • Cognitive radio based hierarchical communications infrastructure for smart grid

    Rong Yu;Yan Zhang;S. Gjessing;Chau Yuen

  • 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

  • Balancing Power Demand Through EV Mobility in Vehicle-to-Grid Mobile Energy Networks

    Rong Yu;Weifeng Zhong;Shengli Xie;Chau Yuen

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

    Xumin Huang;Rong Yu;Jiawen Kang;Yejun He

  • A Parallel Cooperative Spectrum Sensing in Cognitive Radio Networks

    Shengli Xie;Yi Liu;Yan Zhang;Rong Yu

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

    Rong Yu;Jiawen Kang;Xumin Huang;Shengli Xie

  • Toward Resource-Efficient Federated Learning in Mobile Edge Computing

    Rong Yu;Peichun Li

  • Electricity Cost Minimization for a Microgrid With Distributed Energy Resource Under Different Information Availability

    Yi Liu;Chau Yuen;Naveed Ul Hassan;Shisheng Huang

  • Blockchain-based Federated Learning for Industrial Metaverses: Incentive Scheme with Optimal AoI

    Unknown

  • Optimal Resource Sharing in 5G-Enabled Vehicular Networks: A Matrix Game Approach

    Rong Yu;Jiefei Ding;Xumin Huang;Ming-Tuo Zhou

  • Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach

    Maoqiang Wu;Dongdong Ye;Jiahao Ding;Yuanxiong Guo

  • PHEV charging and discharging cooperation in V2G networks: A coalition game approach

    Rong Yu;Jiefei Ding;Weifeng Zhong;Yi Liu

  • Cooperative Resource Management in Cloud-Enabled Vehicular Networks

    Rong Yu;Xumin Huang;Jiawen Kang;Jiefei Ding

  • Queuing-Based Energy Consumption Management for Heterogeneous Residential Demands in Smart Grid

    Yi Liu;Chau Yuen;Rong Yu;Yan Zhang

Frequent Co-Authors

Shengli Xie
Shengli Xie Guangdong University of Technology
Jiawen Kang
Jiawen Kang Guangdong University of Technology
Stein Gjessing
Stein Gjessing University of Oslo
Miao Pan
Miao Pan University of Houston
Chau Yuen
Chau Yuen Nanyang Technological University
Sabita Maharjan
Sabita Maharjan University of Oslo
Lingyang Song
Lingyang Song Peking University
Lei Shu
Lei Shu Nanjing Agricultural University
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Kun Yang
Kun Yang University of Essex

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Electronics and Electrical Engineering, expanding your skill set with related online degrees can open diverse career opportunities. One valuable option is earning a project management bachelor degree, which equips engineers with essential leadership and organizational skills for managing complex technical projects.

Many professionals balance education with work, making accelerated degree programs for working adults a practical choice. These programs help students fast-track their studies, allowing quicker entry or advancement in competitive engineering fields.

For those interested in training roles within engineering organizations, pursuing a master's in training and development online prepares graduates to design effective learning programs that enhance workforce skills and productivity.

Additionally, competency based masters degree programs offer a flexible path by allowing students to progress through mastering specific skills at their own pace, ideal for engineers seeking targeted expertise without a rigid curriculum.

Best Scientists Citing Rong Yu

Trending Scientists

Recently Published Articles