Yang Li

ORCID: 0000-0003-2480-1972

Also affiliated with National University Cancer Institute, Singapore

Biochemistry, Genetics and Molecular BiologyMaterials ScienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 8 papers. Top paper: “Protein structure prediction using deep learning distance and hydrogen‐bonding restraints in CASP14”.

Protein structure prediction using deep learning distance and hydrogen‐bonding restraints in CASP14

Proteins Structure Function and Bioinformatics(2021)10.1002/prot.26193

N/A

0.624DataRank · unranked

63 citations

Yang Li, Chengxin Zhang, Xiaogen Zhou, Robin Pearce, Eric W. Bell +3 more

Protein inter‐residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP14

Proteins Structure Function and Bioinformatics(2021)10.1002/prot.26211

N/A

0DataRank · unranked

23 citations

Chengxin Zhang, Wei Zheng, Xiaogen Zhou, Eric W. Bell, Dong‐Jun Yu +2 more

I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction

Nature Protocols(2022)10.1038/s41596-022-00728-0

N/A

0DataRank · unranked

518 citations

Wei Zheng, Yang Li, Robin Pearce, Chengxin Zhang, Eric W. Bell +3 more

Progressive assembly of multi-domain protein structures from cryo-EM density maps

Nature Computational Science(2022)10.1038/s43588-022-00232-1

N/A

0DataRank · unranked

69 citations

Yang Li, Chengxin Zhang, Wei Zheng, Guijun Zhang, Yang Zhang +1 more

Fast and accurate Ab Initio Protein structure prediction using deep learning potentials

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010539

N/A

0DataRank · unranked

41 citations

Yang Li, Gilbert S. Omenn, Yang Zhang, Robin Pearce

Integrating end-to-end learning with deep geometrical potentials for ab initio RNA structure prediction

Nature Communications(2023)10.1038/s41467-023-41303-9

N/A

0DataRank · unranked

106 citations

Chengxin Zhang, Chenjie Feng, Robin Pearce, Lydia Freddolino, Yang Zhang +1 more

Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks

PLoS Computational Biology(2021)10.1371/journal.pcbi.1008865

N/A

0DataRank · unranked

84 citations

Chengxin Zhang, Eric W. Bell, Wei Zheng, Xiaogen Zhou, Dong‐Jun Yu +2 more

Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data

Nature Methods(2024)10.1038/s41592-023-02130-4

N/A

0DataRank · unranked

130 citations

Qiqige Wuyun, Yang Li, Chengxin Zhang, Lydia Freddolino, Yang Zhang +1 more