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About the database ScholarIQanswers from OpenAlex & ORCID
How has Shengquan Liu's publication output changed over time?
ScholarIQpublication output · 2008–2022
Output grew0% over the shown period — from 1 works in 2008 to 1 in 2022.
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20082014201620172019202020212022
What are the most-cited papers on Shengquan Liu?
ScholarIQmost cited works
Machine learning prediction of lignin content in poplar with Raman spectroscopy
Wenli Gao, Liang Zhou, Shengquan Liu, Ying Guan, Hui Gao, Bin Hui
S21442059. 202290 Citations
Two novel zeolitic imidazolate frameworks (ZIFs) as sorbents for solid-phase extraction (SPE) of polycyclic aromatic hydrocarbons (PAHs) in environmental water samples
Huiping Hu, Shengquan Liu, Chunyan Chen, Jianping Wang, Ying Zou, Lihua Lin, Shouzhuo Yao
S105746325. 201482 Citations
Hemicelluloses-based magnetic aerogel as an efficient adsorbent for Congo red
Ying Guan, Jun Rao, Yule Wu, Hui Gao, Shengquan Liu, Gegu Chen, Feng Peng
International Journal of Biological Macromolecules. 202069 Citations
Growth Stresses are Highly Controlled by the Amount of G-Layer in Poplar Tension Wood
Chang-Hua Fang, Bruno Clair, Joseph Gril, Shengquan Liu
S4210184484. 200868 CitationsOPEN ACCESS
Damping control strategies of inter-area low-frequency oscillation for DFIG-based wind farms integrated into a power system
Hui Li, Shengquan Liu, Haiting Ji, Dong Yang, Chao Yang, Hongwen Chen, Bin Zhao, Yaogang Hu, Zhe Chen
S168377509. 201466 Citations
Related on ScholarIQ
State Key Laboratory of Luminescent Materials and Devices
Institution
Machine learning prediction of lignin content in poplar with Raman spectroscopy
Paper
Two novel zeolitic imidazolate frameworks (ZIFs) as sorbents for solid-phase extraction (SPE) of polycyclic aromatic hydrocarbons (PAHs) in environmental water samples
Paper
Hemicelluloses-based magnetic aerogel as an efficient adsorbent for Congo red
Paper
Growth Stresses are Highly Controlled by the Amount of G-Layer in Poplar Tension Wood
Paper
Damping control strategies of inter-area low-frequency oscillation for DFIG-based wind farms integrated into a power system
Paper