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Yi Fang

4 papers hereh-index 374 citations6 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • q-bio.BM3
  • astro-ph.SR1
same name
  • Yi Fang — 36 papers, h 27
  • Yi Fang — 27 papers, h 6
  • Yi Fang — 22 papers, h 29
  • Yi Fang — 11 papers, h 4
  • Yi Fang — 10 papers, h 6
  • Yi Fang — 9 papers, h 7

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 citedCorrection to the photometric magnitudes of the Gaia Early Data Release 3

26 citations · 44 across the 4 of their papers we have counts for

collaborators

4 papers

q-bio.BM2022★ 18 cited

SHREC 2022: Protein-ligand binding site recognition

Luca Gagliardi, Andrea Raffo, Ulderico Fugacci +12

This paper presents the methods that have participated in the SHREC 2022 contest on protein-ligand binding site recognition. The prediction of protein-ligand binding regions is an…

q-bio.BM2022

The low-entropy hydration shell at the binding site of spike RBD determines the contagiousness of SARS-CoV-2 variants

Lin Yang, Shuai Guo, Chengyu Houc +9

The infectivity of SARS-CoV-2 depends on the binding affinity of the receptor-binding domain (RBD) of the spike protein with the angiotensin converting enzyme 2 (ACE2) receptor. Th…

q-bio.BM2022

Space Layout of Low-entropy Hydration Shells Guides Protein Binding

Lin Yang, Shuai Guo, Chengyu Hou +9

Protein-protein binding enables orderly and lawful biological self-organization, and is therefore considered a miracle of nature. Protein-protein binding is steered by electrostati…

astro-ph.SR2021★ 26 cited

Correction to the photometric magnitudes of the Gaia Early Data Release 3

Lin Yang, Haibo Yuan, Ruoyi Zhang +4

In this letter, we have carried out an independent validation of the Gaia EDR3 photometry using about 10,000 Landolt standard stars from Clem & Landolt (2013). Using a machine lear…

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