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Deep learning-driven evaluation and prediction of ion-doped NASICON materials for enhanced solid-state battery performance Journal article
Zhao, Zirui, Wang, Xiaoke, Wu, Si, Zhou, Pengfei, Zhao, Qian, Xu, Guanping, Sun, Kaitong, Li, Hai Feng. Deep learning-driven evaluation and prediction of ion-doped NASICON materials for enhanced solid-state battery performance[J]. AAPPS Bulletin, 2024, 34(1), 26.
Authors:  Zhao, Zirui;  Wang, Xiaoke;  Wu, Si;  Zhou, Pengfei;  Zhao, Qian; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/10/10
Deep Learning Model  Electrochemical Properties  Ion Doping  Nasicon  Solid-state Electrolyte  
Anti-dissolving Fe2N6 site-based carbon fiber membranes for binder-free Zn-air batteries with a 200-day lifespan Journal article
Xu, Zian, Zhu, Jian, Shao, Jingze, Xia, Yu, Liu, Pengfei, Li, Guangshe, Chen, Rouxi, Chen, Shaoqing, Wang, Jiacheng, Chen, Shi, Huang, Fuqiang, Wang, Hsing Lin. Anti-dissolving Fe2N6 site-based carbon fiber membranes for binder-free Zn-air batteries with a 200-day lifespan[J]. ENERGY & ENVIRONMENTAL SCIENCE, 2024, 17(22), 8722-8733.
Authors:  Xu, Zian;  Zhu, Jian;  Shao, Jingze;  Xia, Yu;  Liu, Pengfei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:32.4/34.5 | Submit date：2024/11/05
FedGCS: A Generative Framework for Effcient Client Selection in Federated Learning via Gradient-based Optimization Conference paper
ZHIYUAN NING, CHUNLIN TIAN, MENG XIAO, WEI FAN, PENGYANG WANG, LI LI, PENGFEI WANG, YUANCHUN ZHOU. FedGCS: A Generative Framework for Effcient Client Selection in Federated Learning via Gradient-based Optimization[C], 2024.
Authors:  ZHIYUAN NING;  CHUNLIN TIAN;  MENG XIAO;  WEI FAN;  PENGYANG WANG; et al.
Favorite |  | Submit date：2024/08/28
Generative Adversarial Autoencoder Network for Anti-Shadow Hyperspectral Unmixing Journal article
Sun, Bin, Su, Yuanchao, Sun, He, Bai, Jinying, Li, Pengfei, Liu, Feng, Liu, Dongsheng. Generative Adversarial Autoencoder Network for Anti-Shadow Hyperspectral Unmixing[J]. IEEE Geoscience and Remote Sensing Letters, 2024, 21, 5506005.
Authors:  Sun, Bin;  Su, Yuanchao;  Sun, He;  Bai, Jinying;  Li, Pengfei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.0/4.4 | Submit date：2024/07/04
Anti-shadow Unmixing  Deep Learning  Generative Adversarial Network (Gan)  Hyperspectral Unmixing  
FedGSC: A Generative Framework for Efficient Client Selection in Federated Learning Conference paper
Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou. FedGSC: A Generative Framework for Efficient Client Selection in Federated Learning[C], 2024.
Authors:  Zhiyuan Ning;  Chunlin Tian;  Meng Xiao;  Wei Fan;  Pengyang Wang; et al.
Favorite |  | Submit date：2024/08/29
Strategy strengthens structural identification through hyphenating full collision energy ramp-MS2 and full exciting energy ramp-MS3 spectra: An application for metabolites identification of rosmarinic acid Journal article
Zhang, Ke, Li, Han, Shi, Jingjing, Liu, Wenjing, Wang, Yitao, Tu, Pengfei, Li, Jun, Song, Yuelin. Strategy strengthens structural identification through hyphenating full collision energy ramp-MS2 and full exciting energy ramp-MS3 spectra: An application for metabolites identification of rosmarinic acid[J]. Analytica Chimica Acta, 2024, 1296, 342346.
Authors:  Zhang, Ke;  Li, Han;  Shi, Jingjing;  Liu, Wenjing;  Wang, Yitao; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:5.7/5.5 | Submit date：2024/05/02
1st-generatIon Fragment Ion identificatIon  Full Collision Energy Ramp-ms2 Spectrum  Full Exciting Energy Ramp-ms3 Spectrum  Rosmarinic Acid  Structural Identification  
Triple three-dimensional MS/MS spectrum facilitates quantitative ginsenosides-targeted sub-metabolome characterization in notoginseng Journal article
Zhang, Ke, Jia, Jinru, Li, Ting, Liu, Wenjing, Tu, Pengfei, Wan, Jian Bo, Li, Jun, Song, Yuelin. Triple three-dimensional MS/MS spectrum facilitates quantitative ginsenosides-targeted sub-metabolome characterization in notoginseng[J]. Acta Pharmaceutica Sinica B, 2024.
Authors:  Zhang, Ke;  Jia, Jinru;  Li, Ting;  Liu, Wenjing;  Tu, Pengfei; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:14.7/14.1 | Submit date：2024/06/05
Full Exciting Energy Ramp-ms3 Spectrum  Ginsenosides  Notoginseng  Quantitative Sub-metabolome Characterization  Structural Identification  
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization Conference paper
Ning, Zhiyuan, Tian, Chunlin, Xiao, Meng, Fan, Wei, Wang, Pengyang, Li, Li, Wang, Pengfei, Zhou, Yuanchun. FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization[C]:International Joint Conferences on Artificial Intelligence, 2024, 4760-4768.
Authors:  Ning, Zhiyuan;  Tian, Chunlin;  Xiao, Meng;  Fan, Wei;  Wang, Pengyang; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Machine Learning  Data Mining  
Rapid Simultaneous Determination of Four Ganoderic Acids in Ganoderma (Chinese Name: Lingzhi) by Direct Infusion–Multiple Reaction Monitoring Cubed Journal article
Wu, Nian, Peng, Bo, Li, Ting, Tu, Pengfei, Wang, Shengpeng, Li, Bo, Liu, Wenjing, Song, Yuelin. Rapid Simultaneous Determination of Four Ganoderic Acids in Ganoderma (Chinese Name: Lingzhi) by Direct Infusion–Multiple Reaction Monitoring Cubed[J]. Journal of Analysis and Testing, 2023, 8(1), 52-62.
Authors:  Wu, Nian;  Peng, Bo;  Li, Ting;  Tu, Pengfei;  Wang, Shengpeng; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:5.5/4.4 | Submit date：2024/02/22
Direct Infusion  Ganoderic Acids  Ganoderma  High-throughput Quantitative Analysis  Multiple Reaction Monitoring Cubed  
Facile and Stable CuInO2 Nanoparticles for Efficient Electrochemical CO2 Reduction Journal article
Yin, Lihong, Li, Zhiqiang, Feng, Jinxian, Zhou, Pengfei, Qiao, Lulu, Liu, Di, Yi, Zhibin, Ip, Weng Fai, Luo, Guangfu, Pan, Hui. Facile and Stable CuInO2 Nanoparticles for Efficient Electrochemical CO2 Reduction[J]. ACS Applied Materials and Interfaces, 2023, 15(40), 47135-47144.
Authors:  Yin, Lihong;  Li, Zhiqiang;  Feng, Jinxian;  Zhou, Pengfei;  Qiao, Lulu; et al.
Favorite | TC[WOS]:8 TC[Scopus]:8  IF:8.3/8.7 | Submit date：2024/01/10
Cuino2 Nanoparticles  Electrocatalysts  Electrochemical Co2 Reduction Reaction  First-principles Calculations  Hydrogen Evolution Reaction