Ke Yan

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Xiaokang ZhouAssociate Professor, Faculty of Data Science, Shiga University, JapanVerified email at biwako.shiga-u.ac.jp
Wen ShenUCIVerified email at uci.edu
Afshin AfshariGroup Leader, Urban Physics Modeling, Fraunhofer IBPVerified email at ibp.fraunhofer.de
Kevin I-Kai WangDepartment of Electrical, Computer, and Software Engineering, The University of AucklandVerified email at auckland.ac.nz
Weimin Li（李卫民）School of Computer Engineering and Science，Shanghai UniversityVerified email at shu.edu.cn
Bin YangProfessor (Umeå University, Sweden)Verified email at umu.se
Ho Lun ChengSenior Lecturer, National University of SingaporeVerified email at comp.nus.edu
Jianhua MaProfessor of Computer Science, Hosei UniversityVerified email at hosei.ac.jp
Xin LiSchool of Mechatronic Engineering, China University of Mining and TechnologyVerified email at cumt.edu.cn
SHIMIZU ShoheiShiga University & RIKENVerified email at biwako.shiga-u.ac.jp
Hainan YanNanjing UniversityVerified email at smail.nju.edu.cn
Adrian ChongNational University of SingaporeVerified email at nus.edu.sg
Leslie NorfordProfessor of Building Technology, Massachusetts Institute of TechnologyVerified email at mit.edu
Michael Yit Lin ChewProfessor, National University of SingaporeVerified email at nus.edu.sg
Chandra SekharProfessor, National University of SingaporeVerified email at nus.edu.sg
Kirtley, James L. Jr.Professor of Electrical Engineering, MITVerified email at mit.edu
Jinjun ChenMAE, IEEE Fellow (Computer Society), AAIA Fellow; IEEE TCSC ChairVerified email at swin.edu.au
Zheng YanDistinguished Professor, IEEE Fellow, IET Fellow, AAIA Fellow, AIIA Fellow, Xidian University, ChinaVerified email at xidian.edu.cn
Lu LiuUniversity of LeicesterVerified email at leicester.ac.uk
Yang XiangPeng Cheng Laboratory, ChinaVerified email at pcl.ac.cn

Ke Yan

Professor, Mechanical and Electrical Engineering, Hunan University, National University of Singapore

Verified email at nus.edu.sg - Homepage

Applied Energy Smart Building Applied Mathematics Computational Biology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A hybrid feature selection algorithm for gene expression data classification H Lu, J Chen, K Yan, Q Jin, Y Xue, Z Gao Neurocomputing 256, 56-62, 2016	384	2016
Short-Term Photovoltaic Power Forecasting Based on Long Short Term Memory Neural Network and Attention Mechanism H Zhou, K Yan, Y Du IEEE Access 7, 78063-78074, 2019	353	2019
A hybrid LSTM neural network for energy consumption forecasting of individual households K Yan, W Li, Z Ji, M Qi, Y Du Ieee Access 7, 157633-157642, 2019	224	2019
Hierarchical Adversarial Attacks Against Graph Neural Network Based IoT Network Intrusion Detection System X Zhou, W Liang, W Li, K Yan, S Shimizu, KIK Wang IEEE Internet of Things Journal, 2021	222	2021
Multi-step short-term power consumption forecasting with a hybrid deep learning strategy K Yan, X Wang, Y Du, N Jin, H Huang, H Zhou Energies 11 (11), 3089, 2018	181	2018
ARX model based fault detection and diagnosis for chillers using support vector machines K Yan, W Shen, T Mulumba, A Afshari Energy and Buildings 81, 287-295, 2014	173	2014
Generative adversarial network for fault detection diagnosis of chillers K Yan, A Chong, Y Mo Building and Environment 172, 106698, 2020	163	2020
Semi-supervised learning for early detection and diagnosis of various air handling unit faults K Yan, C Zhong, Z Ji, J Huang Energy and Buildings 181, 75-83, 2018	158	2018
Robust model-based fault diagnosis for air handling units T Mulumba, A Afshari, K Yan, W Shen, LK Norford Energy and Buildings 86, 698-707, 2015	156	2015
Unsupervised learning for fault detection and diagnosis of air handling units K Yan, J Huang, W Shen, Z Ji Energy and Buildings 210, 2019	153	2019
Online fault detection methods for chillers combining extended kalman filter and recursive one-class SVM K Yan, Z Ji, W Shen Neurocomputing 228, 205-212, 2016	145	2016
Cost-sensitive and sequential feature selection for chiller fault detection and diagnosis K Yan, L Ma, Y Dai, W Shen, Z Ji, D Xie International Journal of Refrigeration 86, 401-409, 2017	142	2017
Mathematical and Computational Modeling in Complex Biological Systems Z Ji, K Yan, W Li, H Hu, X Zhu BioMed Research International, 2017	112	2017
Multi-task learning model based on multi-scale CNN and LSTM for sentiment classification N Jin, J Wu, X Ma, K Yan, Y Mo IEEE Access 8, 77060-77072, 2020	110	2020
Fast and accurate classification of time series data using extended ELM: Application in fault diagnosis of air handling units K Yan, Z Ji, H Lu, J Huang, W Shen, Y Xue IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (7), 1349-1356, 2019	108	2019
Highly accurate energy consumption forecasting model based on parallel LSTM neural networks N Jin, F Yang, Y Mo, Y Zeng, X Zhou, K Yan, X Ma Advanced Engineering Informatics 51, 101442, 2022	101	2022
Edge-enabled two-stage scheduling based on deep reinforcement learning for internet of everything X Zhou, W Liang, K Yan, W Li, I Kevin, K Wang, J Ma, Q Jin IEEE Internet of Things Journal 10 (4), 3295-3304, 2022	100	2022
A hybrid deep learning technology for PM_2.5 air quality forecasting Z Zhang, Y Zeng, K Yan Environmental Science and Pollution Research 28, 39409-39422, 2021	98	2021
Multivariate Air Quality Forecasting with Nested LSTM Neural Network N Jin, Y Zeng, K Yan, Z Ji IEEE Transactions on Industrial Informatics, 2021	96	2021
MPPT perturbation optimization of photovoltaic power systems based on solar irradiance data classification K Yan, Y Du, Z Ren IEEE transactions on sustainable energy 10 (2), 514-521, 2018	89	2018

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