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Items where Author is "Wang, Xiaolin"
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Article
Shen, J, Feng, G, Xing, Z and Wang, Xiaolin 
ORCID: 0000-0003-4293-7523 2018
, 'Theoretical study of two-stage water vapor compression systems'
, Applied Thermal Engineering, vol. 147
, pp. 972-982
, doi: https://doi.org/10.1016/j.applthermaleng.2018.11.012.
ORCID: 0000-0003-4293-7523 2018
, 'Theoretical study of two-stage water vapor compression systems'
, Applied Thermal Engineering, vol. 147
, pp. 972-982
, doi: https://doi.org/10.1016/j.applthermaleng.2018.11.012.
Shen, J, Feng, G, Xing, Z and Wang, Xiaolin ORCID: 0000-0003-4293-7523 2018
, 'Theoretical study of two-stage water vapor compression systems'
, Applied Thermal Engineering, vol. 147
, pp. 972-982
, doi: https://doi.org/10.1016/j.applthermaleng.2018.11.012.
ORCID: 0000-0003-4293-7523 2018
, 'Theoretical study of two-stage water vapor compression systems'
, Applied Thermal Engineering, vol. 147
, pp. 972-982
, doi: https://doi.org/10.1016/j.applthermaleng.2018.11.012.
Yu, X, Lv, Q, Zhang, L, Wang, Xiaolin ORCID: 0000-0003-4293-7523, Meng, X and Zong, Z 2020
, 'Study of thermal performance of air-source heat-pump heating for suburban residential buildings in Beijing'
, Science and Technology for the Built Environment, vol. 26, no. 7
, pp. 975-986
, doi: https://doi.org/10.1080/23744731.2020.1746152.
ORCID: 0000-0003-4293-7523, Meng, X and Zong, Z 2020
, 'Study of thermal performance of air-source heat-pump heating for suburban residential buildings in Beijing'
, Science and Technology for the Built Environment, vol. 26, no. 7
, pp. 975-986
, doi: https://doi.org/10.1080/23744731.2020.1746152.
Yuan, N, Yang, W ORCID: 0000-0002-4885-2531, Kang, Byeong, Xu, Shuxiang and Wang, Xiaolin 2019
, 'Notice of Retraction. Laplacian Eigenmaps feature conversion and particle swarm optimization-based deep neural network for machine condition monitoring'
, Applied Sciences, vol. 8, no. 12
, pp. 1-15
.
ORCID: 0000-0002-4885-2531, Kang, Byeong, Xu, Shuxiang and Wang, Xiaolin 2019
, 'Notice of Retraction. Laplacian Eigenmaps feature conversion and particle swarm optimization-based deep neural network for machine condition monitoring'
, Applied Sciences, vol. 8, no. 12
, pp. 1-15
.