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A comprehensive strategy based on ultra-high performance liquid chromatography with diode array detector fingerprinting and multi-component ultra-performance liquid chromatography with tandem mass spectrometry technology for quality control of Jiawei Huoxiang Zhengqi Pill Journal article
Lu, Yang, Lei, Ting, Chen, Xinyang, Ning, Na, Huang, Qiuling, Wu, Xu, Wang, Shengpeng, Li, Peng, Wan, Li, Cao, Jiliang. A comprehensive strategy based on ultra-high performance liquid chromatography with diode array detector fingerprinting and multi-component ultra-performance liquid chromatography with tandem mass spectrometry technology for quality control of Jiawei Huoxiang Zhengqi Pill[J]. Journal of Separation Science, 2024, 47(13), 2400308.
Authors:  Lu, Yang;  Lei, Ting;  Chen, Xinyang;  Ning, Na;  Huang, Qiuling; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:2.8/2.7 | Submit date：2024/08/05
Chemical Characterization  Chemical Fingerprinting  Jiawei Huoxiang Zhengqi Pill  Multi-component Uplc-ms/ms  Quality Control  
A numerically stable flexural dynamics model of complex multi-span fluid-conveying pipes with flexible components and its application to clamp stiffness identification Journal article
Wang, Ze Chao, Gao, Pei Xin, Zhou, Zu De, Tijsseling, Arris S., Qu, Yong Zhi, Yan, Wang Ji, Yuen, Ka Veng, Cheng, Shing Shin. A numerically stable flexural dynamics model of complex multi-span fluid-conveying pipes with flexible components and its application to clamp stiffness identification[J]. Thin-Walled Structures, 2024, 195, 111488.
Authors:  Wang, Ze Chao;  Gao, Pei Xin;  Zhou, Zu De;  Tijsseling, Arris S.;  Qu, Yong Zhi; et al.
Favorite | TC[WOS]:9 TC[Scopus]:8  IF:5.7/5.6 | Submit date：2024/02/22
Clamp Stiffness Identification  Flexible Component  Improved Transfer Matrix Method  Multi-span Fluid-conveying Pipe  Numerically Stable Dynamics Model  
Risk modeling, analysis and control of multi-energy systems Book
Song, Yonghua, Ding, Yi, Bao, Minglei, Wang, Sheng, Shao, Changzheng. Risk modeling, analysis and control of multi-energy systems[M]. 1. Singapore:Springer Singapore, 2023, 254.
Authors:  Song, Yonghua;  Ding, Yi;  Bao, Minglei;  Wang, Sheng;  Shao, Changzheng
Favorite | TC[Scopus]:0 | Submit date：2023/09/27
Component Failure  Failure Propagation  Integrated Demand Response  Integrated Electricity And Gas Systems  Integrated Electricity And Heating Systems  Load Uncertainty  Long-term Capacity Planning  Multi-energy Systems  Risk Analysis  Risk Control  Risk Modeling  
High Order Finite Difference Alternative WENO Scheme for Multi-component Flows Journal article
Gu, Yaguang, Gao, Zhen, Hu, Guanghui, Li, Peng, Wang, Lifeng. High Order Finite Difference Alternative WENO Scheme for Multi-component Flows[J]. Journal of Scientific Computing, 2021, 89(3), 52.
Authors:  Gu, Yaguang;  Gao, Zhen;  Hu, Guanghui;  Li, Peng;  Wang, Lifeng
Favorite | TC[WOS]:9 TC[Scopus]:10  IF:2.8/2.7 | Submit date：2021/12/08
Alternative Weno Scheme  Five-equation Model  Multi-component Flows  Stiffened Gas Eos  
High Order Finite Difference Alternative WENO Scheme for Multi-component Flows Journal article
Gu, Yaguang, Gao. Zhen, Hu, Guanghui, Li, Peng, Wang, Lifeng. High Order Finite Difference Alternative WENO Scheme for Multi-component Flows[J]. Journal of Scientific Computing, 2021, 52-52.
Authors:  Gu, Yaguang;  Gao. Zhen;  Hu, Guanghui;  Li, Peng;  Wang, Lifeng
Favorite |   IF:2.8/2.7 | Submit date：2024/08/31
Five-equation Model  Multi-component Flows  Alternative Weno Scheme  Stiffened Gas Eos  
A Robust High Order Alternative WENO Scheme for the Five-Equation Model Journal article
Gu, Yaguang, Gao, Zhen, Hu, Guanghui, Li, Peng, Wang, Lifeng. A Robust High Order Alternative WENO Scheme for the Five-Equation Model[J]. Journal of Scientific Computing, 2021, 88(1), 12.
Authors:  Gu, Yaguang;  Gao, Zhen;  Hu, Guanghui;  Li, Peng;  Wang, Lifeng
Favorite | TC[WOS]:14 TC[Scopus]:13  IF:2.8/2.7 | Submit date：2021/12/08
Alternative Weno Scheme  Bound- And Positivity-preserving Methods  Five-equation Model  Multi-component Flows  
Learning across multi-stimulus enhances target recognition methods in SSVEP-based BCIs Journal article
Chi Man Wong, Feng Wan, Boyu Wang, Ze Wang, Wenya Nan, Ka Fai Lao, Peng Un Mak, Mang I Vai, Agostinho Rosa. Learning across multi-stimulus enhances target recognition methods in SSVEP-based BCIs[J]. Journal of Neural Engineering, 2020, 17(1), 016026.
Authors:  Chi Man Wong;  Feng Wan;  Boyu Wang;  Ze Wang;  Wenya Nan; et al.
Favorite | TC[WOS]:89 TC[Scopus]:101  IF:3.7/5.0 | Submit date：2021/03/11
Brain-computer Interface  Canonical Correlation Analysis  Learning Across Multi-stimulus  Steady-state Visual Evoked Potential  Task-related Component Analysis  
Adaptive Fourier decomposition-based Dirac type time-frequency distribution Journal article
Zhang, Liming, Qian, Tao, Mai, Weixiong, Dang, Pei. Adaptive Fourier decomposition-based Dirac type time-frequency distribution[J]. MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2017, 40(8), 2815-2833.
Authors:  Zhang, Liming;  Qian, Tao;  Mai, Weixiong;  Dang, Pei
Favorite | TC[WOS]:5 TC[Scopus]:7  IF:2.1/2.0 | Submit date：2018/10/30
Instantaneous Frequency  Mono-component  Multi-component  Adaptive Fourier Decomposition  Time-frequency Distribution  The Best N-rational Approximation  
Connected Component Model for Multi-Object Tracking Journal article
Zhenyu He, Xin Li, Xinge You, Dacheng Tao, Yuan Yan Tang. Connected Component Model for Multi-Object Tracking[J]. IEEE Transactions on Image Processing, 2016, 25(8), 3698 - 3711.
Authors:  Zhenyu He;  Xin Li;  Xinge You;  Dacheng Tao;  Yuan Yan Tang
Favorite | TC[WOS]:123 TC[Scopus]:130  IF:10.8/12.1 | Submit date：2018/10/30
Connected Component Model (Ccm)  Data Association  Equivalence Relation  Multi-object Tracking  
Binary mixtures simulation based on Lattice Boltzmann method Journal article
Zhu H.-B., Liu X.-H., Liu Y.-Q., Wu E.-H.. Binary mixtures simulation based on Lattice Boltzmann method[J]. Jisuanji Xuebao/Chinese Journal of Computers, 2006, 29(12), 2071-2079.
Authors:  Zhu H.-B.;  Liu X.-H.;  Liu Y.-Q.;  Wu E.-H.
Favorite |  | Submit date：2019/02/13
Diffusion  Graphics Processing Unit  Lattice Boltzmann model  Multi-component fluid flow  Viscosity