Papers

3

Total Citations

38

H-Index

3

About

Tianhao Liu is a researcher whose work bridges two seemingly distinct fields: neurorehabilitation and nondestructive testing (NDT) for fusion energy systems. In the area of stroke recovery, Liu has pioneered the use of robot-assisted gait training to promote neuroplasticity. Their 2024 fMRI study, which employed graph theory analysis to map brain network reorganization, has already garnered 15 citations, highlighting its impact on understanding how robotic therapy can rewire the brain after stroke. This work offers promising pathways for more effective rehabilitation protocols. Concurrently, Liu has made significant contributions to the safety of tokamak fusion reactors. They developed a flexible electromagnetic acoustic transducer (EMAT) scanning system for detecting delamination in first-wall components—a critical defect that can compromise reactor integrity. Their 2019 review on ultrasonic testing and laser thermography for plasma-facing components (PFCs) has become a key reference, with 10 citations, synthesizing techniques to ensure the reliability of these extreme-environment materials. By advancing both neural recovery and fusion reactor inspection, Liu demonstrates a rare versatility, applying rigorous engineering and imaging methods to solve challenges in medicine and energy. Their work underscores a commitment to innovation that enhances human health and enables sustainable power.

Research Focus

Key Achievements

3
H-Index
3
Papers
38
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Evidence that robot-assisted gait training modulates neuroplasticity after stroke: An fMRI pilot study based on graph theory analysis
15 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Capital Medical University, Xi'an Jiaotong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago