Yuntao Li

High Impact

Professor

University of Arkansas

Also affiliated: Library and Archives Canada (2012); Tianjin University of Technology (2019); Chongqing University (2011–2022); Southwest Petroleum University (2013–2024); Hunan University (2011); Chinese Academy of Sciences (2010–2025); China University of Petroleum, Beijing (2019–2025); China Academy of Engineering Physics (2018); Mitchell Institute (2024); Vernon College (2025); Canadian Heritage (2012); UNSW Sydney (2020); Nanjing University of Science and Technology (2009–2011); State Key Laboratory on Integrated Optoelectronics (2010); Guangxi Science and Technology Department (2008); State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (2013–2024); Chongqing University of Arts and Sciences (2018); Baogang Group (China) (2019–2025); Department of Physics, Mathematics and Informatics (2012); Yonker Environmental Protection (China) (2011); Chengdu University (2015–2019); Ministry of Transport (2024–2025); State Council of the People's Republic of China (2015–2016); Institute of Semiconductors (2009–2025); National Synchrotron Radiation Laboratory (2017); Oil and Gas Center (2024–2025); Saudi Arabia Basic Industries (United States) (2023–2025); East China Normal University (2018–2019); Carleton University (2012); Lanzhou University (2001); Texas A&M University (2003–2007); Tsinghua University (2019)

Faculty Researcher

35 h-index 165 pubs 4,248 cited

Research Areas

Biomedical Subjects

Links

ORCID

OverviewAI-generated summary

Yuntao Li's research focuses on the development and application of advanced materials for sensing technologies and the study of fuel combustion. His work includes the creation of high-performance flexible strain sensors utilizing conductive polymer composites, carbon nanotubes, reduced graphene oxide, and polydimethylsiloxane. These sensors are designed for applications requiring stretchability, sensitivity, and wide linear response ranges, with some incorporating 3D printing for directional strain recognition.

Further investigations by Li explore the properties of hydrogel-based flexible sensors, emphasizing characteristics such as self-healing, transparency, stretchability, and temperature sensitivity. In parallel, his research extends to combustion science, specifically examining the optimization effects of additives like propylene oxide on the evaporation, combustion efficiency, and pollutant emissions of high-energy-density fuels such as JP-10. Li's scholarly contributions are reflected in a h-index of 36, with over 165 publications and more than 4,179 citations, designating him as a highly cited researcher.

Metrics

h-index: 35
Publications: 165
Citations: 4,248

Selected Publications

Dual-functionalized defective metal–organic frameworks for fast and sensitive biosensing of Salmonella (2025)

Food Chemistry 2 citations DOI OpenAlex

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