Yulan Wang
Papers
6
Total Citations
54
H-Index
4
About
Yulan Wang is an emerging researcher at the forefront of robotic and computer-assisted dental implantology, with a focused body of work exploring how advanced technologies can transform the precision, safety, and efficiency of implant surgery. Wang's research spans in vitro experimental studies and randomized controlled clinical trials, providing both foundational and clinically translatable insights into robotic dental systems. Among Wang's most significant contributions is a 2025 randomized controlled trial comparing robotic-assisted and freehand implant placement over a six-month follow-up, which has already garnered 15 citations and offers compelling evidence for the clinical superiority of robotic guidance. Complementary in vitro work examining how implant shape, length, and surgeon experience influence robotic placement accuracy—collectively accumulating nearly 30 citations within a year of publication—has helped establish critical parameters for optimizing robotic workflows. Wang has also pioneered haptic robotic feedback strategies for transcrestal sinus floor elevation, broadening the application of autonomous systems to more complex surgical scenarios. Through investigations into dynamic navigation, edentulous jaw protocols, and future digital workflows, Wang's growing portfolio is shaping a new standard of precision in implant dentistry, making their work essential reading for clinicians and researchers navigating this rapidly evolving field.
Research Focus
Key Achievements
Top Papers
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