Papers
2
Total Citations
60
H-Index
2
About
Ruixue Cui is a pioneering researcher at the intersection of nanotechnology and biomedical imaging, whose work spans from photo-driven nanoactuators to deep learning in oncology. Her most cited paper, "Photo-driven nanoactuators based on carbon nanocoils and vanadium dioxide bimorphs" (2018, 38 citations), introduced a groundbreaking approach to miniaturized actuators that respond wirelessly to light, offering transformative potential for micro-robotics and nano-electromechanical systems. This work addresses a critical challenge in smart systems by enabling solar-powered actuation at the nanoscale. More recently, Cui has made significant strides in medical AI with her 2023 paper on "Deep learning for predicting epidermal growth factor receptor mutations of non-small cell lung cancer on PET/CT images" (22 citations). This study demonstrates a noninvasive, cost-effective method to predict EGFR mutation status, directly impacting targeted therapy decisions for lung cancer patients. By bridging materials science and clinical diagnostics, Cui’s research showcases a rare versatility—from engineering novel nanoactuators to developing AI tools for precision medicine. Her growing citation record reflects the broad relevance of her contributions, positioning her as a rising interdisciplinary leader whose work promises to advance both fundamental nanotechnology and practical healthcare solutions.
Research Focus
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Top Papers
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