About

Wen-Ping Chen’s research bridges analytical chemistry and robotics, with a focus on developing practical solutions for real-world challenges. In analytical chemistry, Chen pioneered microscale amino acid analysis using gas chromatography–mass spectrometry with methyl chloroformate derivatization (62 citations), enabling sensitive detection of key biomolecules. This work has implications for metabolomics and clinical diagnostics. In robotics, Chen has made significant contributions to autonomous cleaning systems for large indoor spaces, addressing labor shortages and worker fatigue. Key innovations include an omni-directional wheeled cleaning robot (2013), a tricycle-drive robot with laser-based obstacle avoidance (2017), and a high-endurance robot with scanning-based path planning and correction (2018)—each cited 5 times. These designs emphasize practical autonomy, navigation, and nighttime operation. Chen also advances education through robotics and sensor technology curricula using LEGO Mindstorms NXT (2025), fostering hands-on learning in programming and teamwork. With a career spanning precise chemical analysis and intelligent robotics, Chen’s work demonstrates a commitment to both scientific rigor and applied engineering, impacting fields from bioanalysis to automation.

Research Focus

Key Achievements

4
H-Index
5
Papers
78
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Microscale analysis of amino acids using gas chromatography–mass spectrometry after methyl chloroformate derivatization
62 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Minnesota, National Kaohsiung University of Applied Sciences, National Kaohsiung University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago