Xingwen Wu

Papers

1

Total Citations

2

H-Index

1

About

Dr. Xingwen Wu is a leading researcher in digital dentistry, with a primary focus on advancing implant surgery through cutting-edge computer-assisted technologies. Their most significant contribution is a landmark 2025 systematic review and meta-analysis that rigorously compared the accuracy of robotic computer-assisted implant surgery (rCAIS) against static (sCAIS) and dynamic (dCAIS) methods. This work, already garnering early citations, provides critical evidence that robotic systems can enhance precision in dental implant placement, potentially reducing complications and improving patient outcomes. By synthesizing data from multiple studies, Dr. Wu has established a foundational benchmark for evaluating emerging robotic techniques against established digital workflows. This research is particularly impactful for clinicians and biomedical engineers seeking to adopt or refine minimally invasive, high-accuracy surgical protocols. Dr. Wu’s work bridges the gap between technological innovation and clinical practice, positioning them as a key voice in the evolution of computer-aided dentistry. Their meta-analysis not only clarifies current capabilities but also highlights future directions for robotic integration in oral surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of dental implant placement accuracy between robotic and static or dynamic computer-assisted surgeries: A systematic review and meta-analysis
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago