🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Tong Liu

Ludong University

ORCID: 0000-0001-5497-8117

Also affiliated with Harbin Institute of Technology, Tsinghua University

Biochemistry, Genetics and Molecular BiologyMedicineNeuroscience

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 4 papers. Top paper: “MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials”.

MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials

BMC Bioinformatics(2020)10.1186/s12859-020-3383-3
N/A
0DataRank · unranked
6 citations

Zheng Wang, Tong Liu

Predicting residue‐specific qualities of individual protein models using residual neural networks and graph neural networks

Proteins Structure Function and Bioinformatics(2022)10.1002/prot.26400
N/A
0DataRank · unranked
6 citations

Tong Liu, Zheng Wang, Chenguang Zhao

DeepChIA-PET: Accurately predicting ChIA-PET from Hi-C and ChIP-seq with deep dilated networks

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.19.512935
N/A
0DataRank · unranked
2 citations

Zheng Wang, Tong Liu

HiC4D: Forecasting spatiotemporal Hi-C data with residual ConvLSTM

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.09.10.507434
N/A
0DataRank · unranked
0 citations

Zheng Wang, Tong Liu