Xinghua Su

Papers

Total Citations

366

H-Index

About

Xinghua Su is a leading researcher in the field of artificial olfaction and advanced sensor technologies, with a primary focus on electronic noses and their integration with data processing. Their most-cited work, "Electronic Noses: From Advanced Materials to Sensors Aided with Data Processing" (2018), has garnered 366 citations, establishing a foundational framework for how novel materials and machine learning algorithms can mimic the human olfactory system. Su’s major contributions lie in bridging material science with computational analytics, enabling e-noses to achieve unprecedented sensitivity and selectivity for applications ranging from environmental monitoring to disease diagnosis and agricultural production. This work has been pivotal in advancing robotics and public security technologies, demonstrating how artificial olfaction can transform real-world sensing. Su’s research continues to shape the development of smart sensors, earning recognition for its interdisciplinary impact and practical utility. Their achievements highlight a career dedicated to solving complex detection challenges, making Su a key figure in the evolution of bio-inspired electronic systems.