Guang Xu

Tongji University

Papers

1

Total Citations

2

H-Index

1

About

Guang Xu is a pioneering researcher in medical imaging and telemedicine, with a primary focus on advancing ultrasound technology through robotic and 5G integration. His most cited work investigates the diagnostic performance and learning curves of radiologists using 5G-based robot-assisted tele-ultrasonography (RATU), demonstrating the feasibility of providing remote routine ultrasound examinations in real-world clinical settings. This prospective study, conducted between 2020 and 2021, represents a significant contribution to telemedicine by addressing barriers to healthcare access in underserved or remote areas. Xu’s research highlights the potential of combining high-speed connectivity with robotic precision to expand diagnostic capabilities, particularly in radiology. With 2 citations to date, this work is gaining attention as a foundational study in the emerging field of tele-ultrasonography. His achievements underscore a commitment to bridging technological innovation with practical healthcare solutions, making him a notable figure in the intersection of medical imaging, robotics, and telecommunications. Xu’s work is especially relevant for researchers exploring telemedicine, AI-assisted diagnostics, and the future of remote patient care.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Diagnostic Performance of Different Examination Types and Learning Curves of Radiologists for <scp>5G</scp>‐Based Robot‐Assisted Tele‐Ultrasonography
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Tongji University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago