W
Wei Ji
Researcher at Renmin University of China
Publications - 666
Citations - 26973
Wei Ji is an academic researcher from Renmin University of China. The author has contributed to research in topics: Medicine & Monolayer. The author has an hindex of 64, co-authored 550 publications receiving 20154 citations. Previous affiliations of Wei Ji include East China University of Science and Technology & Huazhong Agricultural University.
Papers
More filters
Journal ArticleDOI
The Dynamic Immune Response of Yellow Catfish ( Pelteobagrus fulvidraco ) Infected With Edwardsiella ictaluri Presenting the Inflammation Process.
TL;DR: In this paper, RNA-Seq technology was used to study the immune response in two distinct tissues of yellow catfish at eight different time points (h) after E. ictaluri infection.
Journal ArticleDOI
Radiation-induced amorphization of Langasite La3Ga5SiO14
Journal ArticleDOI
TEM characterization of a Supra-Nano-Dual-Phase binder phase in spark plasma sintered TiB2–5 wt%HEAs cermet
TL;DR: In this article, the detailed morphology and elemental distribution in the TiB2-5'wt% HEAs cermet were analyzed using transmission electron microscopy (TEM) with energy dispersive spectrometer (EDS) mapping analysis.
Posted Content
Chirality locking charge density waves in a chiral crystal
Ziqiang Wang,Geng Li,Wenchun Jiang,Haitao Yang,Peijie Jiang,Cong Wang,Qiuzhen Cheng,Shangjie Tian,Guangyuan Han,Hechang Lei,Chengmin Shen,Xiao Lin,Wei Ji,Ziqiang Wang,Hong-Jun Gao +14 more
TL;DR: In this paper, a novel unidirectional charge density wave (CDW) order on the (001) surface of chiral crystal CoSi was discovered using scanning tunneling microscopy/spectroscopy.
Journal ArticleDOI
Implementation and testing of the on-the-fly thermal scattering Monte Carlo sampling method for graphite and light water in MCNP6
TL;DR: In this paper, an on-the-fly Monte Carlo random walk was proposed to sample the secondary neutron energy and angle after a thermal scattering event from probability tables generated from S ( α, β, T ) tables at discrete temperatures, requiring a large amount of data for multiscale and multiphysics problems with detailed temperature gradient.