Minjie Zhuang
Papers
4
Total Citations
238
H-Index
4
About
Minjie Zhuang is an emerging dental researcher whose work sits at the cutting edge of computer-assisted implant surgery, with a particular focus on robotic systems and dynamic navigation technologies for dental implant placement. His research has made significant contributions to evaluating and validating the accuracy of advanced surgical guidance systems, helping to establish rigorous benchmarks for next-generation implantology tools. His most cited work, a 2022 in vitro study comparing dynamic navigation and robotic systems (127 citations), became a foundational reference in the field, while subsequent studies examining task-autonomous robotic systems and novel hybrid robotic platforms — accumulating 50 and 44 citations respectively — further cemented his reputation as a leading voice in surgical robotics research. Zhuang's investigations extend beyond technical accuracy metrics; his 2024 pilot study exploring learning curves among young dentists from diverse specialties demonstrates a commitment to understanding how these technologies can be practically integrated into clinical training. Collectively, his work is shaping how the dental community evaluates, adopts, and teaches robotic-assisted implant surgery, making his research essential reading for clinicians and educators navigating this rapidly evolving landscape.
Research Focus
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Top Papers
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