F
Fei Li
Researcher at Xi'an Jiaotong University
Publications - 1067
Citations - 23099
Fei Li is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 57, co-authored 482 publications receiving 15237 citations. Previous affiliations of Fei Li include Nanjing Agricultural University & Laboratory of Molecular Biology.
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One-Year Results of a Multicenter Study: Intraocular Pressure–Lowering Effect of Combined Phacoemulsification, Goniosynechialysis, and Goniotomy for Cases of Advanced Primary Angle-Closure Glaucoma With Cataract
Yi Zhang,Fei Li,Yingzhe Zhang,Feng Bin Lin,Aiguo Lv,Xiao-yan Li,Ping Lu,Meichun Xiao,Hengli Zhang,Xiaowei Yan,Xiaomin Zhu,Wulian Song,Xiao Hui Zhao,Xinbo Gao,Kun Hu,Xiaohong Liang,Xi Zhang,Zhenyu Wang,Jiguang Shi,Yu-Chen Zhu,Yu Zhang,Sujie Fan,Guangxian Tang,Lan-Cun Lu,Lin Xie,Huiping Yuan,Minwen Zhou,Weirong Chen,Lilian H. Tang,Dennis S.C. Lam,Robert N. Weinreb,Xiu-zhi Zhang +31 more
TL;DR: In this article , the authors evaluated the intraocular pressure (IOP)-lowering effect of the combination of phacoemulsification with intraocular lens implantation (PEI), goniosynechialysis (GSL), and goniotomy (GT) in eyes of advanced primary angle-closure glaucoma (PACG) with cataract.
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Potential adverse outcome pathways with hazard identification of organophosphate esters.
TL;DR: In this article , the authors used network-centric analysis and quantitative weight-of-evidence (QWOE) approaches to construct and evaluate the putative AOPs frameworks of OPEs.
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Failure analysis and prediction of roof instability in end face under repeated mining using early warning system
TL;DR: In this article , the authors used the radial basis function neural network (RBFNN) to predict the roof instability of the end face of the mining working face under repeated mining in close-distance coal seams.
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Superconducting ScP4 with a novel phosphorus framework
Journal ArticleDOI
Formation of Head/Tail-to-Body Charged Domain Walls by Mechanical Stress.
Qianwei Huang,Jiyuan Yang,Zibin Chen,Yujie Chen,Matthew J. Cabral,Haosu Luo,Fei Li,Shujun Zhang,Yulan Li,Zonghan Xie,Houbing Huang,Yiu-Wing Mai,Simon P. Ringer,Shi Liu,Xiaozhou Xiaozhou Liao +14 more
TL;DR: In this paper , the authors demonstrate that applying mechanical stress is a robust and reproducible approach to generate charged domain walls (CDWs) with a head/tail-to-body configuration in ultrathin BaTiO3.