‪Kejun Liu‬ - ‪Google Scholar‬

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Citata da

	Tutte	Dal 2019
Citazioni	260	133
Indice H	3	3
i10-index	3	2

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2016201720182019202020212022202320243 16 105 52 14 22 22 19 4

Coautori

Hao LiAssociate Professor, Leader of the Digital Catalysis Lab (DigCat), Tohoku UniversityEmail verificata su tohoku.ac.jp

Kejun Liu

Kejun Liu

Rice University

Email verificata su rice.edu

Computer Science


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Design of high-performance water-in-glass evacuated tube solar water heaters by a high-throughput screening based on machine learning: A combined modeling and experimental study Z Liu, H Li, K Liu, H Yu, K Cheng Solar Energy 142, 61-67, 2017	167	2017
Predictive power of machine learning for optimizing solar water heater performance: the potential application of high-throughput screening H Li, Z Liu, K Liu, Z Zhang International journal of photoenergy 2017, 2017	75	2017
Artificial neural networks-based software for measuring heat collection rate and heat loss coefficient of water-in-glass evacuated tube solar water heaters Z Liu, K Liu, H Li, X Zhang, G Jin, K Cheng PloS one 10 (12), e0143624, 2015	18	2015

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