Yi-Hung Chen

National Taipei University of Technology, International Medical Research (Germany)

Papers

Total Citations

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About

Yi-Hung Chen’s research bridges environmental health and biomedical innovation, with a particular focus on disinfection technologies and the emerging intersection of machine learning with traditional medicine. In his highly cited 2020 mini-review on gaseous chlorine dioxide (ClO₂), Chen demonstrated how this powerful oxidizer serves as an efficient tool for both disinfection and air pollution control—work that gained urgent relevance during the coronavirus pandemic and has since accumulated 40 citations. More recently, Chen has ventured into integrative medicine, leading a 2026 scoping review that systematically maps how machine learning is being applied to acupuncture research. This forward-looking work identifies key disease targets and addresses long-standing challenges of variability and subjectivity in acupuncture studies, earning early recognition with 2 citations. By spanning from practical disinfection solutions to AI-enhanced traditional therapies, Chen exemplifies a researcher unafraid to cross disciplinary boundaries. His work not only provides immediate public health applications but also opens new methodological pathways for evidence-based complementary medicine, making him a notable figure in both environmental and integrative health research.