output
20072026
most citedGoogle Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories

2k citations

Showing 2019Show all

11 papers · 1 filter

cond-mat.quant-gas2019★ 2 cited

Finite-energy accelerating beam dynamics in wavelet-based representations

David Colas, Fabrice P. Laussy, Matthew J. Davis

Accelerating beams are wave packets which appear to spontaneously accelerate without external potentials or applied forces. Since their first physical realisation in the form of Ai…

cs.SD2019

CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement

Mandar Gogate, Kia Dashtipour, Ahsan Adeel +1

Noisy situations cause huge problems for suffers of hearing loss as hearing aids often make the signal more audible but do not always restore the intelligibility. In noisy settings…

cond-mat.quant-gas2019★ 19 cited

Quantum hydrodynamics of a single particle

D. G. Suárez-Forero, V. Ardizzone, S. F. Covre da Silva +11

Semiconductor devices are strong competitors in the race for the development of quantum com-putational systems. In this work, we interface two semiconductor building blocks of diff…

quant-ph2019★ 97 cited

-phonon bundle emission via the anti-Stokes process

Qian Bin, Xin-You Lü, Fabrice P. Laussy +2

We demonstrate theoretically the bundle emission of strongly correlated phonons in an acoustic cavity QED system. The mechanism relies on anti-Stokes resonances that generate s…

cond-mat.mes-hall2019★ 23 cited

Spontaneous topological transitions in a honeycomb lattice of exciton-polariton condensates due to spin bifurcations

H. Sigurdsson, Y. S. Krivosenko, I. V. Iorsh +2

We theoretically explore nonresonantly pumped polaritonic graphene, a system consisting of a honeycomb lattice of micropillars in the regime of strong light-matter coupling. We dem…

cs.CL2019★ 37 cited

SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)

Marcos Zampieri, Shervin Malmasi, Preslav Nakov +3

We present the results and the main findings of SemEval-2019 Task 6 on Identifying and Categorizing Offensive Language in Social Media (OffensEval). The task was based on a new dat…