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Wenzhi Fu

Showing results (1-10 of 8) with videos related to

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Journal of Colloid and Interface Science|March 9, 2017
One-pot hydrothermal synthesis of magnetically recoverable palladium/reduced graphene oxide nanocomposites and its catalytic applications in cross-coupling reactionsWenzhi Fu, Zhuqing Zhang, Peiyuan Zhuang, et al.
Viruses|October 26, 2024
Predicting Clinical Outcomes in COVID-19 and Pneumonia Patients: A Machine Learning ApproachKaida Cai, Zhengyan Wang, Xiaofang Yang, et al.
Journal of Colloid and Interface Science|July 12, 2017
Self-assembled three-dimensional Pd/MoS<sub>2</sub>/reduced graphene oxide nanocatalyst: A case for homogeneous leaching mechanismJin Ji, Yinle Li, Wenzhi Fu, et al.
Genes|January 8, 2025
Leveraging Bioinformatics and Machine Learning for Identifying Prognostic Biomarkers and Predicting Clinical Outcomes in Lung AdenocarcinomaKaida Cai, Wenzhi Fu, Hanwen Liu, et al.
Scientific Reports|July 2, 2025
Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modelingKaida Cai, Xiaofang Yang, Zhengyan Wang, et al.
Entropy (Basel, Switzerland)|September 27, 2024
Optimizing Prognostic Predictions in Liver Cancer with Machine Learning and Survival AnalysisKaida Cai, Wenzhi Fu, Zhengyan Wang, et al.
Nanoscale|January 4, 2019
Pd-Co nanoalloys nested on CuO nanosheets for efficient electrocatalytic N<sub>2</sub> reduction and room-temperature Suzuki-Miyaura coupling reactionWenzhi Fu, Yudong Cao, Qianyi Feng, et al.
Small (Weinheim an Der Bergstrasse, Germany)|August 17, 2019
Amorphous Sn/Crystalline SnS<sub>2</sub> Nanosheets via In Situ Electrochemical Reduction Methodology for Highly Efficient Ambient N<sub>2</sub> FixationPengxiang Li, Wenzhi Fu, Peiyuan Zhuang, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Colloid and Interface Science|March 9, 2017
One-pot hydrothermal synthesis of magnetically recoverable palladium/reduced graphene oxide nanocomposites and its catalytic applications in cross-coupling reactionsWenzhi Fu, Zhuqing Zhang, Peiyuan Zhuang, et al.
Viruses|October 26, 2024
Predicting Clinical Outcomes in COVID-19 and Pneumonia Patients: A Machine Learning ApproachKaida Cai, Zhengyan Wang, Xiaofang Yang, et al.
Journal of Colloid and Interface Science|July 12, 2017
Self-assembled three-dimensional Pd/MoS<sub>2</sub>/reduced graphene oxide nanocatalyst: A case for homogeneous leaching mechanismJin Ji, Yinle Li, Wenzhi Fu, et al.
Genes|January 8, 2025
Leveraging Bioinformatics and Machine Learning for Identifying Prognostic Biomarkers and Predicting Clinical Outcomes in Lung AdenocarcinomaKaida Cai, Wenzhi Fu, Hanwen Liu, et al.
Scientific Reports|July 2, 2025
Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modelingKaida Cai, Xiaofang Yang, Zhengyan Wang, et al.
Entropy (Basel, Switzerland)|September 27, 2024
Optimizing Prognostic Predictions in Liver Cancer with Machine Learning and Survival AnalysisKaida Cai, Wenzhi Fu, Zhengyan Wang, et al.
Nanoscale|January 4, 2019
Pd-Co nanoalloys nested on CuO nanosheets for efficient electrocatalytic N<sub>2</sub> reduction and room-temperature Suzuki-Miyaura coupling reactionWenzhi Fu, Yudong Cao, Qianyi Feng, et al.
Small (Weinheim an Der Bergstrasse, Germany)|August 17, 2019
Amorphous Sn/Crystalline SnS<sub>2</sub> Nanosheets via In Situ Electrochemical Reduction Methodology for Highly Efficient Ambient N<sub>2</sub> FixationPengxiang Li, Wenzhi Fu, Peiyuan Zhuang, et al.
Pageof 1