Shuaiyang Liu

Shanghai Jiao Tong University

Papers

1

Total Citations

18

H-Index

1

About

Shuaiyang Liu is a rising researcher in interventional pulmonology, with a focused expertise in the early detection and diagnosis of lung cancer. His primary research centers on the technological frontiers of robotic-assisted bronchoscopy, specifically evaluating its clinical utility and learning curve for sampling peripheral pulmonary nodules (PPNs). Liu’s most cited work, a 2022 study on the "Learning curve of a robotic-assisted bronchoscopy system," has garnered 18 citations, establishing a foundational benchmark for how clinicians adopt this complex technology. This contribution is critical as CT screening increases the detection of small, hard-to-reach nodules, making precise, minimally invasive sampling essential. By systematically analyzing procedural proficiency, Liu’s research helps define training requirements and safety parameters, directly impacting clinical practice and patient outcomes. His work bridges the gap between cutting-edge robotic systems and real-world application, positioning him as a key voice in the evolution of lung cancer diagnostics. For students and researchers, Liu’s studies offer a clear roadmap for understanding how new technologies are validated and integrated into standard care.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve of a robotic-assisted bronchoscopy system in sampling peripheral pulmonary nodules
18 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shanghai Jiao Tong University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago