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Yi-Nan Wang

43 papers hereh-index 241.8k citations70 works total

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

author position
  • sole author3
  • first author3
  • middle author12
  • last author24

Across the 42 of 43 papers where every author was matched, so the position is known.

fields
  • hep-th41
  • cond-mat.str-el1
  • quant-ph1
same name
  • Yi-Nan Wang — 2 papers
  • Yi-Nan Wang — 2 papers, h 1
  • Yi-Nan Wang — 1 paper, h 2

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

activity
20122026
most citedLecture Notes on Generalized Symmetries and Applications

85 citations · 274 across the 26 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

hep-th2019

5d SCFTs from Decoupling and Gluing

Fabio Apruzzi, Sakura Schafer-Nameki, Yi-Nan Wang

We systematically analyse 5d superconformal field theories (SCFTs) obtained by dimensional reduction from 6d N=(1,0) SCFTs. Such theories have a realization as M-theory…

hep-th2019

Fibers add Flavor, Part II: 5d SCFTs, Gauge Theories, and Dualities

Fabio Apruzzi, Craig Lawrie, Ling Lin +2

In arXiv:1906.11820 and arXiv:1907.05404 we proposed an approach based on graphs to characterize 5d superconformal field theories (SCFTs), which arise as compactifications of 6d $\…

hep-th2019

5d Superconformal Field Theories and Graphs

Fabio Apruzzi, Craig Lawrie, Ling Lin +2

We propose a graph-theoretic description to determine and characterize 5d superconformal field theories (SCFTs) that arise as circle reductions of 6d N=(1,0) SCFTs. E…

hep-th2019

Fibers add Flavor, Part I: Classification of 5d SCFTs, Flavor Symmetries and BPS States

Fabio Apruzzi, Craig Lawrie, Ling Lin +2

We propose a graph-based approach to 5d superconformal field theories (SCFTs) based on their realization as M-theory compactifications on singular elliptic Calabi--Yau threefolds.…

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