Papers
4
Total Citations
23
H-Index
3
About
Manman Wu is an emerging researcher whose work spans two innovative frontiers: automated environmental water analysis and advanced flexible sensing materials. Wu's most significant contributions lie in developing intelligent, high-throughput systems for detecting organic contaminants in water, addressing the growing challenge of emerging environmental pollutants. Their 2024 paper on automated pretreatment and machine learning-driven non-targeted screening of environmental water samples has already garnered 13 citations, reflecting its timely relevance in modernizing pollution monitoring workflows that traditionally demanded labor-intensive laboratory procedures. Complementing this, Wu has pioneered online sequential analytical platforms integrating robotic sample preparation with cutting-edge two-dimensional gas chromatography and time-of-flight mass spectrometry, enabling comprehensive simultaneous detection of volatile and semivolatile organic compounds. Wu also extends expertise into materials science, having developed a graphene oxide aerogel composite strain sensor featuring a novel interpenetrating dual-network structure capable of ultra-high, tunable sensitivity — a contribution with promising wearable technology applications. Collectively, Wu's research demonstrates a rare interdisciplinary breadth, combining environmental analytical chemistry, automation technology, and advanced functional materials, positioning them as a versatile and impactful voice in both environmental monitoring and sensor engineering communities.
Research Focus
Key Achievements
Top Papers
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