Papers

5

Total Citations

63

H-Index

3

About

Mengting Xu is a researcher whose work spans two distinct but forward-looking domains: robotic-assisted neurosurgery and advanced soft robotics materials. Early in her career, Xu made significant contributions to improving surgical precision in deep brain stimulation (DBS) procedures, developing a modified registration method for the ROSA robotic system that demonstrably reduced electrode placement error — work that has garnered 32 citations and holds direct clinical relevance. Building on this foundation, she extended her neurosurgical expertise to robot-assisted minimally invasive treatment of spontaneous thalamic hemorrhage and comparative analyses of ROSA-assisted versus traditional stereotactic approaches for hypertensive intracerebral hemorrhage, collectively advancing safer, more accurate surgical interventions for thousands of patients. More recently, Xu has pivoted toward soft robotics and wearable technology, exploring stiffness-switchable hydrogel composites for transformable exo-suits and pioneering liquid metal electrode systems for electroactive artificial muscles using poly(vinyl chloride) gel. This breadth reflects a researcher equally comfortable at the neurosurgical bedside and the materials science laboratory, with a unifying interest in precision, adaptability, and human-centered engineering applications.

Research Focus

Key Achievements

3
H-Index
5
Papers
63
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Improved accuracy using a modified registration method of ROSA in deep brain stimulation surgery
32 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: General Hospital of Shenyang Military Region, Chongqing University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago