Papers
3
Total Citations
66
H-Index
2
About
Ching-Ching Yang is a researcher at the forefront of biomedical engineering, with key contributions spanning flexible sensor technology and automated robotic systems for preclinical imaging. Her most impactful work, a 2021 study on a wearable capacitive pressure sensor (54 citations), introduces a novel dual-layer dielectric design combining a PDMS microcylinder array with PVDF electrospun fibers. This innovation achieves exceptional sensitivity, advancing the field of wearable health monitoring and human-machine interfaces. Earlier in her career, Yang pioneered automated image-guided robotic systems for small animal tissue biopsy, as detailed in her 2006 publications (10 and 2 citations). This work addressed a critical goal in molecular imaging: enabling non-invasive, repeatable in vivo cell biology monitoring without sacrificing animals. By integrating dual-image modality guidance with a robotic arm, her system allowed for precise, inter-subject tissue sampling across different investigation stages. Yang’s research uniquely bridges soft robotics for wearable diagnostics and precision automation for preclinical studies, demonstrating a versatile impact on both clinical and laboratory applications. Her work remains foundational for researchers developing next-generation sensing and interventional tools.
Research Focus
Key Achievements
Top Papers
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