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Li Gao

3 papers hereh-index 9319 citations50 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.plasm-ph3
same name
  • Li Gao — 14 papers, h 7
  • Li Gao — 11 papers, h 13
  • Li Gao — 9 papers, h 4
  • Li Gao — 7 papers, h 3
  • Li Gao — 7 papers, h 2
  • Li Gao — 4 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedCritical roles of edge turbulent transport in the formation of high-field-side high-density front and density limit disruption in J-TEXT tokamak

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing physics.plasm-phShow all

3 papers · 1 filter

physics.plasm-ph2023

Experimental investigations of quasi-coherent micro-instabilities in Ohmic plasmas

Peng Shi, J. C. Li, G. Zhuang +3

The ITG and TEM instabilities with quasi-coherent spectra have been identified experimentally, by the newly developed far-forward collective scattering measurements in J-TEXT tokam…

physics.plasm-ph2023★ 1 cited

Critical roles of edge turbulent transport in the formation of high-field-side high-density front and density limit disruption in J-TEXT tokamak

Peng Shi, Yuhan Wang, Li Gao +16

This article presents an in-depth study of the sequence of events leading to density limit disruption in J-TEXT tokamak plasmas, with an emphasis on boudary turbulent transport and…

physics.plasm-ph2023

Validation of the plasma-wall self-organization model for density limit in ECRH-assisted start-up of Ohmic discharges on J-TEXT

Jiaxing Liu, Ping Zhu, Dominique Franck Escande +14

A recently developed plasma-wall self-organization (PWSO) model predicts a significantly enhanced density limit, which may be attainable in tokamaks with ECRH-assisted ohmic startu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.