Ke Yan - Concepedia

Author

Ke Yan

China Jiliang University ORCID

Also Known As

Bai, Xiaoyu, Ke Tong Yan, Ke YAN, Ke Yan, Ke, Yan, M. Satyanarayanan, Xiang Ma, Yan KE, Yan Ke, Yan, Ke

306

Publications

8.4K

Citations

H-Index

252

Concepts

All Affiliations

China Jiliang University National University of Singapore Zhejiang Gongshang University University Town of Shenzhen James Cook University

About

Ke Yan is an author at China Jiliang University specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	42	83	6.6K
2	Health Sciences	11	11	367
3	Language Studies	3	3	65
4	Business	2	2	88
5	Management	2	2	103

Ke Yan

112

Publications

7.6K

Citations

H-Index

Page 1

	Year	Citations
Feature selection and analysis on correlated gas sensor data with recursive feature elimination Ke Yan, David Zhang Sensors and Actuators B Chemical Gas Sensor DataEnvironmental MonitoringEngineeringSensorsData Science	2015	511
IrisNet: An architecture for a worldwide sensor web Phillip B. Gibbons, Brad Karp, Ke Yan, IEEE Pervasive Computing Sensor NetworksCluster ComputingEngineeringEmbedded SensingGlobal Sensor Web	2003	452
Short-Term Photovoltaic Power Forecasting Based on Long Short Term Memory Neural Network and Attention Mechanism Hangxia Zhou, Yujin Zhang, Lingfan Yang, IEEE Access Forecasting MethodologyEngineeringMachine LearningLstm Neural NetworksPhotovoltaic System	2019	385
A hybrid feature selection algorithm for gene expression data classification Huijuan Lu, Junying Chen, Ke Yan, Neurocomputing Functional GenomicsEngineeringData ScienceData MiningPattern Recognition	2017	350
A Hybrid LSTM Neural Network for Energy Consumption Forecasting of Individual Households Ke Yan, Wei Li, Zhiwei Ji, IEEE Access Forecasting MethodologyEngineeringMachine LearningIndividual HouseholdsRecurrent Neural Network	2019	214
Learning Domain-Invariant Subspace Using Domain Features and Independence Maximization Ke Yan, Lu Kou, David Zhang IEEE Transactions on Cybernetics	2017	213
Generative adversarial network for fault detection diagnosis of chillers Ke Yan, Adrian Chong, Yuchang Mo Building and Environment Fault DiagnosisEngineeringMachine LearningPattern RecognitionDiagnosis	2020	197
Multi-Step Short-Term Power Consumption Forecasting with a Hybrid Deep Learning Strategy Ke Yan, Xudong Wang, Yang Du, Energies Convolutional Neural NetworkEngineeringMachine LearningIndividual HouseholdsEnergy Efficiency	2018	185
Unsupervised learning for fault detection and diagnosis of air handling units Ke Yan, Jing Huang, Wen Shen, Energy and Buildings Fault DiagnosisEngineeringMachine LearningData MiningPattern Recognition	2019	164
Semi-supervised learning for early detection and diagnosis of various air handling unit faults Ke Yan, Chaowen Zhong, Zhiwei Ji, Energy and Buildings Fault DiagnosisVarious AirMachine LearningEngineeringData Mining	2018	161

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