- Doctorate at University of Glasgow, United Kingdom
Dr. Yao Sun is a Lecturer at the James Watt School of Engineering at the University of Glasgow, UK. He holds a PhD in Communication and Information System from the University of Electronic Science and Technology of China (UESTC) and a Bachelor’s degree in Mathematical Science from the same institution. Dr. Sun’s research focuses on wireless networking, particularly in areas such as semantic communication, blockchain-enabled wireless networks, and network slicing technology. He has received several awards for his research contributions, including the IEEE Internet of Things Journal Best Paper Award and the Best Paper Award from the IEEE Communication Society of TAOS.
Author Metrics
Dr. Sun’s research contributions have been recognized with author metrics such as having one journal paper selected by Web of Science as a highly cited paper (top 1% in citation) and hot paper (top 0.1% in citation).
Scopus Profile
Google Scholar Profile
Dr. Yao Sun is a researcher affiliated with the University of Glasgow in the United Kingdom. His work has garnered significant attention, evidenced by 947 citations across 793 documents, indicating the influence and relevance of his research within his field. With an h-index of 14, Dr. Sun has demonstrated both productivity and impact, as this metric reflects the number of his papers that have received at least 14 citations each.
Education
Dr. Yao Sun completed his PhD in Communication and Information System at UESTC, a top university in China. He also holds a Bachelor’s degree in Mathematical Science from UESTC.
Research Focus
Dr. Sun’s research primarily focuses on wireless networking, with specific interests in semantic communication for future wireless intelligence, blockchain-enabled wireless networks, and network slicing technology for 5G and beyond systems.
Professional Journey
After completing his PhD, Dr. Sun worked as a research fellow at UESTC before joining the University of Glasgow as a Lecturer. Throughout his career, he has actively participated in various research projects as a principal investigator or co-investigator, securing funding for projects such as semantic communication for wireless intelligence and video transmission via semantic communication approach.
Honors & Awards
Dr. Sun has received several prestigious awards for his research contributions, including the IEEE Internet of Things Journal Best Paper Award in 2022, the Best Paper Award from the IEEE Communication Society of TAOS in 2019, and the Best Paper Award from the IEEE 22nd International Conference on Communication Technology in 2022.
Research Timeline
Dr. Yao Sun’s research journey spans from his time as a graduate student to his current position as a Lecturer at the University of Glasgow. He has been actively involved in various research projects, securing funding, publishing papers, and receiving recognition for his contributions to the field of wireless networking.
Publications Top Noted & Contributions
Dr. Yao Sun has authored over 80 publications, including IEEE transaction papers, top conference papers, books, and book chapters. He has also served as a guest editor for special issues in IEEE international journals and as an associate editor for Springer Nature Scientific Reports.
Title: Blockchain-enabled wireless Internet of Things: Performance analysis and optimal communication node deployment
Authors: Y. Sun, L. Zhang, G. Feng, B. Yang, B. Cao, MA Imran
Journal: IEEE Internet of Things Journal
Year: 2019
Cited By: 227
Title: Intelligent resource scheduling for 5G radio access network slicing
Authors: M. Yan, G. Feng, J. Zhou, Y. Sun, YC Liang
Journal: IEEE Transactions on Vehicular Technology
Year: 2019
Cited By: 167
Title: The SMART handoff policy for millimeter-wave heterogeneous cellular networks
Authors: Y. Sun, G. Feng, S. Qin, YC Liang, TSP Yum
Journal: IEEE Transactions on Mobile Computing
Year: 2017
Cited By: 106
Title: Network slice reconfiguration by exploiting deep reinforcement learning with large action space
Authors: F. Wei, G. Feng, Y. Sun, Y. Wang, S. Qin, YC Liang
Journal: IEEE Transactions on Network and Service Management
Year: 2020
Cited By: 92
Title: Device association for RAN slicing based on hybrid federated deep reinforcement learning
Authors: YJ Liu, G. Feng, Y. Sun, S. Qin, YC Liang
Journal: IEEE Transactions on Vehicular Technology
Year: 2020
Cited By: 15731
