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Jianchao Lee

Showing results (1-10 of 22) with videos related to

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Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry|January 11, 2017
An Ink-jet Printing Strategy for Extensive Exploration of One Chemical Action with Three Interactive VariationsXing Yan, Yunyun Zheng, Jinhong Gao, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|December 7, 2017
Preparation and catalytic performance of copper-containing magnetic catalysts for degradation of azo dye (direct violet)Qiannan Duan, Jianchao Lee, Han Chen, et al.
Bulletin of Environmental Contamination and Toxicology|June 26, 2016
Distribution of Heavy Metal Pollution in Surface Soil Samples in China: A Graphical ReviewQiannan Duan, Jianchao Lee, Yansong Liu, et al.
Analytical Methods : Advancing Methods and Applications|November 14, 2025
High-throughput spectral imaging combined with convolutional neural networks for simultaneous quantitative analysis of mixed anionic surfactants in aqueous environmentsHaoyu Wang, Jingzheng Lei, Qiannan Duan, et al.
Chemical Communications (Cambridge, England)|January 19, 2016
Fluorescence imaging technology (FI) for high-throughput screening of selenide-modified nano-TiO2 catalystsLiping Wang, Jianchao Lee, Meijuan Zhang, et al.
Talanta|October 10, 2019
Machine learning for mixture toxicity analysis based on high-throughput printing technologyQiannan Duan, Yuan Hu, Shourong Zheng, et al.
Chemical Communications (Cambridge, England)|December 25, 2019
A color-spectral machine learning path for analysis of five mixed amino acidsQiannan Duan, Jianchao Lee, Shourong Zheng, et al.
Analytica Chimica Acta|January 1, 2021
Machine learning based on holographic scattering spectrum for mixed pollutants analysisQiannan Duan, Zhaoyi Xu, Shourong Zheng, et al.
The Analyst|February 26, 2020
Machine learning for total organic carbon analysis of environmental water samples using high-throughput colorimetric sensorsRun Luo, Guodong Ma, Sifan Bi, et al.
Marine Pollution Bulletin|January 5, 2025
Advancements and challenges in microplastic detection and risk assessment: Integrating AI and standardized methodsHailong Zhang, Qiannan Duan, Pengwei Yan, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry|January 11, 2017
An Ink-jet Printing Strategy for Extensive Exploration of One Chemical Action with Three Interactive VariationsXing Yan, Yunyun Zheng, Jinhong Gao, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|December 7, 2017
Preparation and catalytic performance of copper-containing magnetic catalysts for degradation of azo dye (direct violet)Qiannan Duan, Jianchao Lee, Han Chen, et al.
Bulletin of Environmental Contamination and Toxicology|June 26, 2016
Distribution of Heavy Metal Pollution in Surface Soil Samples in China: A Graphical ReviewQiannan Duan, Jianchao Lee, Yansong Liu, et al.
Analytical Methods : Advancing Methods and Applications|November 14, 2025
High-throughput spectral imaging combined with convolutional neural networks for simultaneous quantitative analysis of mixed anionic surfactants in aqueous environmentsHaoyu Wang, Jingzheng Lei, Qiannan Duan, et al.
Chemical Communications (Cambridge, England)|January 19, 2016
Fluorescence imaging technology (FI) for high-throughput screening of selenide-modified nano-TiO2 catalystsLiping Wang, Jianchao Lee, Meijuan Zhang, et al.
Talanta|October 10, 2019
Machine learning for mixture toxicity analysis based on high-throughput printing technologyQiannan Duan, Yuan Hu, Shourong Zheng, et al.
Chemical Communications (Cambridge, England)|December 25, 2019
A color-spectral machine learning path for analysis of five mixed amino acidsQiannan Duan, Jianchao Lee, Shourong Zheng, et al.
Analytica Chimica Acta|January 1, 2021
Machine learning based on holographic scattering spectrum for mixed pollutants analysisQiannan Duan, Zhaoyi Xu, Shourong Zheng, et al.
The Analyst|February 26, 2020
Machine learning for total organic carbon analysis of environmental water samples using high-throughput colorimetric sensorsRun Luo, Guodong Ma, Sifan Bi, et al.
Marine Pollution Bulletin|January 5, 2025
Advancements and challenges in microplastic detection and risk assessment: Integrating AI and standardized methodsHailong Zhang, Qiannan Duan, Pengwei Yan, et al.
Pageof 3