Papers

3

Total Citations

31

H-Index

2

About

Fei Cui is an emerging researcher at the forefront of robotic-assisted surgical navigation, with a specialized focus on the localization and treatment of early-stage lung cancer. His work addresses a critical clinical challenge: accurately identifying small pulmonary nodules prior to minimally invasive resection, a task that conventional manual techniques have long struggled to perform with sufficient precision. Cui's most impactful contribution is his development and evaluation of a robotic-assisted navigation system for preoperative percutaneous CT-guided lung nodule localization, work that has already garnered 22 citations since its 2023 publication — a strong indicator of rapid uptake within the thoracic surgery and medical robotics communities. Complementing this, his in vivo swine study further validated the feasibility and safety of robot-assisted navigation in clinical contexts, establishing a translational foundation for human application. His 2025 review on precise localization techniques signals his growing role as a synthesizer of the field, helping guide future directions as low-dose CT screening continues to drive increased detection of small nodules. Across his body of work, Cui is shaping a new standard for accuracy and safety in lung cancer diagnosis and surgical planning.

Research Focus

Key Achievements

2
H-Index
3
Papers
31
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Robotic-assisted navigation system for preoperative lung nodule localization: a pilot study
22 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: First Affiliated Hospital of Guangzhou Medical University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago