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Qingwen Li

Showing results (11-20 of 263) with videos related to

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Frontiers in Public Health|August 22, 2022
Machine learning model for depression based on heavy metals among aging people: A study with National Health and Nutrition Examination Survey 2017-2018Fang Xia, Qingwen Li, Xin Luo, et al.
Advanced Materials (Deerfield Beach, Fla.)|June 29, 2019
Understanding the Mechanical and Conductive Properties of Carbon Nanotube Fibers for Smart ElectronicsXiaohua Zhang, Weibang Lu, Gengheng Zhou, et al.
Current Drug Targets|July 7, 2025
RMNet: An RNA m6A Cross-species Methylation Detection Method for Nanopore SequencingQingwen Li, Chen Sun, Daqian Wang, et al.
Glycobiology|March 13, 2023
Characterization and expression of highly active recombinant human glucuronyl C5-epimerase in mammalian cellsHao Cui, Qingwen Li, Peipei Wang, et al.
Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry|August 30, 2003
Spectroscopic and electrochemical studies of DNA breakage induced by dopamine and copper ionJun Liu, Qingwen Li, Yadong Yu, et al.
Chemical Communications (Cambridge, England)|June 29, 2005
Discrete dispersion of single-walled carbon nanotubesQingwen Li, Ian A Kinloch, Alan H Windle
Scientific Reports|April 18, 2014
Planar-defect-rich zinc oxide nanoparticles assembled on carbon nanotube films as ultraviolet emitters and photocatalystsYunqing Zhu, Xiaohua Zhang, Ru Li, et al.
Computational and Mathematical Methods in Medicine|November 2, 2020
Identification and Classification of Enhancers Using Dimension Reduction Technique and Recurrent Neural NetworkQingwen Li, Lei Xu, Qingyuan Li, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 13, 2023
Video summarization for event-centric videosQingwen Li, Jianni Chen, Qiqin Xie, et al.
Frontiers in Genetics|December 9, 2024
GCRTcall: a transformer based basecaller for nanopore RNA sequencing enhanced by gated convolution and relative position embedding via joint loss trainingQingwen Li, Chen Sun, Daqian Wang, et al.
Pageof 27

Showing results (11-20 of 263) with videos related to

Sort By:
Pageof 27
Frontiers in Public Health|August 22, 2022
Machine learning model for depression based on heavy metals among aging people: A study with National Health and Nutrition Examination Survey 2017-2018Fang Xia, Qingwen Li, Xin Luo, et al.
Advanced Materials (Deerfield Beach, Fla.)|June 29, 2019
Understanding the Mechanical and Conductive Properties of Carbon Nanotube Fibers for Smart ElectronicsXiaohua Zhang, Weibang Lu, Gengheng Zhou, et al.
Current Drug Targets|July 7, 2025
RMNet: An RNA m6A Cross-species Methylation Detection Method for Nanopore SequencingQingwen Li, Chen Sun, Daqian Wang, et al.
Glycobiology|March 13, 2023
Characterization and expression of highly active recombinant human glucuronyl C5-epimerase in mammalian cellsHao Cui, Qingwen Li, Peipei Wang, et al.
Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry|August 30, 2003
Spectroscopic and electrochemical studies of DNA breakage induced by dopamine and copper ionJun Liu, Qingwen Li, Yadong Yu, et al.
Chemical Communications (Cambridge, England)|June 29, 2005
Discrete dispersion of single-walled carbon nanotubesQingwen Li, Ian A Kinloch, Alan H Windle
Scientific Reports|April 18, 2014
Planar-defect-rich zinc oxide nanoparticles assembled on carbon nanotube films as ultraviolet emitters and photocatalystsYunqing Zhu, Xiaohua Zhang, Ru Li, et al.
Computational and Mathematical Methods in Medicine|November 2, 2020
Identification and Classification of Enhancers Using Dimension Reduction Technique and Recurrent Neural NetworkQingwen Li, Lei Xu, Qingyuan Li, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 13, 2023
Video summarization for event-centric videosQingwen Li, Jianni Chen, Qiqin Xie, et al.
Frontiers in Genetics|December 9, 2024
GCRTcall: a transformer based basecaller for nanopore RNA sequencing enhanced by gated convolution and relative position embedding via joint loss trainingQingwen Li, Chen Sun, Daqian Wang, et al.
Pageof 27