Jinlong Weng

National Clinical Research

Papers

1

Total Citations

2

H-Index

1

About

Jinlong Weng is a rising researcher in the field of digital dentistry, with a focused expertise in implantology and computer-assisted surgical techniques. His work primarily investigates the comparative accuracy and clinical viability of advanced navigation systems, including dynamic navigation and robot-assisted platforms, for dental implant placement. In his most-cited study, an in vitro evaluation, Weng systematically assessed these technologies in models simulating both single-tooth and multiple free-end edentulous scenarios, demonstrating a rigorous commitment to improving surgical precision. While his citation count is still emerging—reflecting the recency of his contributions—his research addresses a critical gap in validating robotic assistance against established dynamic navigation methods. This work holds significant promise for enhancing predictability and safety in implant surgery, positioning Weng as a contributor to the ongoing evolution of digital workflows in restorative dentistry. His findings are particularly relevant for clinicians and researchers seeking evidence-based guidance on adopting automated technologies in complex prosthetic rehabilitations.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of the accuracy of dynamic navigation versus robot-assisted dental implant placement in models with one missing tooth or multiple missing teeth with a free-end: an in vitro study
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: National Clinical Research

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago