activity
20142016
most citedStudy of at center-of-mass energies from 4.21 to 4.42 GeV

133 citations · 765 across the 15 of their papers we have counts for

collaborators
Showing 2015Show all

8 papers · 1 filter

hep-ex2015★ 129 cited

Observation of in

BESIII Collaboration

Using a data sample collected with the BESIII detector operating at the BEPCII storage ring, we observe a new neutral state with a significance of . The mass…

hep-ex2015★ 12 cited

Observation of

M. Ablikim, M. N. Achasov, X. C. Ai +402

Based on a sample of \etapr mesons produced in the radiative decay in events collected with the BESIII detector, the decay $η^{\prime}\t…

hep-ex2015★ 83 cited

Observation of a neutral charmoniumlike state in

BESIII collaboration, M. Ablikim, M. N. Achasov +414

We report a study of the process using collision data samples with integrated luminosities of at $\sqrt{s…

hep-ex2015★ 47 cited

Measurement of the Matrix Elements for the Decays and

M. Ablikim, M. N. Achasov, X. C. Ai +413

Based on a sample of events collected with the BESIII detector at the BEPCII collider, Dalitz plot analyses of selected 79,625 …

hep-ex2015★ 50 cited

Observation and Spin-Parity Determination of the in

M. Ablikim, M. N. Achasov, X. C. Ai +413

We report an observation of the process at low mass with a statistical significance larger than 12.9 using a data…

hep-ex2015★ 14 cited

An Improved Limit for Gamma_ee of X(3872) and Gamma_ee Measurement of psi(3686)

BESIII collaboration, M. Ablikim, M. N. Achasov +411

Using the data sets taken at center-of-mass energies above 4 GeV by the BESIII detector at the BEPCII storage ring, we search for the reaction e+e- -> gamma_ISR X(3872) -> gamma_IS…

hep-ex2015★ 11 cited

Search for the isospin violating decay

M. Ablikim, M. N. Achasov, X. C. Ai +410

Using data samples collected at center of mass energies of = 4.009, 4.226, 4.257, 4.358, 4.416 and 4.599 GeV with the BESIII detector operating at the BEPCII storage rin…

cs.CV2015★ 37 cited

Learning to Recognize Pedestrian Attribute

Yubin Deng, Ping Luo, Chen Change Loy +1

Learning to recognize pedestrian attributes at far distance is a challenging problem in visual surveillance since face and body close-shots are hardly available; instead, only far-…