scispace - formally typeset
W

W. T. Chen

Researcher at National Central University

Publications -  280
Citations -  23854

W. T. Chen is an academic researcher from National Central University. The author has contributed to research in topics: KEKB & Branching fraction. The author has an hindex of 62, co-authored 272 publications receiving 22700 citations. Previous affiliations of W. T. Chen include Çukurova University.

Papers
More filters
Journal ArticleDOI

Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC

S. Chatrchyan, +2863 more
- 17 Sep 2012 - 
TL;DR: In this paper, results from searches for the standard model Higgs boson in proton-proton collisions at 7 and 8 TeV in the CMS experiment at the LHC, using data samples corresponding to integrated luminosities of up to 5.8 standard deviations.
Journal ArticleDOI

Observation of long-range, near-side angular correlations in proton-proton collisions at the LHC

Vardan Khachatryan, +2200 more
TL;DR: The pre-print version of the Published Article can be accessed from the link below - Copyright @ 2010 Springer Verlag as discussed by the authors, which can be viewed as a preprint of the published article.
Journal ArticleDOI

Observation and studies of jet quenching in PbPb collisions at √sNN=2.76 TeV

S. Chatrchyan, +2180 more
- 12 Aug 2011 - 
TL;DR: In this article, the authors studied the effect of collision centrality on the transverse momentum of PbPb collisions at the LHC with a data sample of 6.7 inverse microbarns.
Journal ArticleDOI

Transverse-Momentum and Pseudorapidity Distributions of Charged Hadrons in pp Collisions at root s=7 TeV

Vardan Khachatryan, +2090 more
TL;DR: In this article, the authors measured the transverse momentum and pseudorapidity distributions in proton-proton collisions at root s = 7 TeV with the inner tracking system of the CMS detector at the LHC.
Journal ArticleDOI

Observation of a Resonancelike Structure in the π +- ψ ' Mass Distribution in Exclusive B→Kπ +- ψ ' Decays

Suyong Choi, +139 more
TL;DR: In this paper, the authors presented a method to detect the presence of a tumor in the human brain using the Web of Science Record created on 2010-11-05, modified on 2017-12-10.