Papers
1
Total Citations
16
H-Index
1
About
Xugang Shu is a leading researcher at the intersection of green nanotechnology, proteomics, and computational biology. His work focuses on the eco-friendly synthesis of metal oxide nanomaterials and their application in advanced biomedical analysis. Shu’s most notable contribution is the development of green-synthesized iron oxide nanorods, which he pioneered for use in proteomics-driven oncogenesis research. In his highly cited 2022 study, he demonstrated how these 17.32 nm crystalline nanorods, characterized via UV-visible spectroscopy, XRD, FTIR, and nano-LC mass spectrometry, can be fused with deep learning models to explore cancer-related motifs. This innovative approach bridges materials science and artificial intelligence, offering a powerful new tool for early cancer detection. With 16 citations on this single paper, Shu’s work is gaining rapid recognition for its interdisciplinary impact. His research not only advances sustainable nanomaterial synthesis but also provides a scalable platform for integrating experimental proteomics with computational pattern recognition, positioning him as a key innovator in next-generation oncological diagnostics.
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