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

Lei Du

Fudan University

ORCID: 0000-0002-6698-9814
NeuroscienceBiochemistry, Genetics and Molecular BiologyMedicine

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

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 9 papers. Top paper: “Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease”.

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease

Scientific Reports(2017)10.1038/srep44272
N/A
0.604DataRank · unranked
55 citations

Chanxiu Li, Lei Du, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher +241 more

Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method

IEEE Transactions on Medical Imaging(2020)10.1109/tmi.2020.2995510
N/A
0DataRank · unranked
44 citations

Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han +3 more

Identifying diagnosis-specific genotype–phenotype associations via joint multitask sparse canonical correlation analysis and classification

Bioinformatics(2020)10.1093/bioinformatics/btaa434
N/A
0DataRank · unranked
38 citations

Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han +5 more

Identification of multimodal brain imaging association via a parameter decomposition based sparse multi-view canonical correlation analysis method

BMC Bioinformatics(2022)10.1186/s12859-022-04669-z
N/A
0DataRank · unranked
10 citations

Huiai Wang, Ying Zhao, Lei Guo, Lei Du, Alzheimer’s Disease Neuroimaging Initiative +1 more

Detecting genetic associations with brain imaging phenotypes in Alzheimer’s disease via a novel structured SCCA approach

Medical Image Analysis(2020)10.1016/j.media.2020.101656
N/A
0DataRank · unranked
87 citations

Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin +3 more

Identification of Genetic Risk Factors Based on Disease Progression Derived From Longitudinal Brain Imaging Phenotypes

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3325380
N/A
0DataRank · unranked
9 citations

Ying Zhao, Jian‐Ting Zhang, Muheng Shang, Jin Zhang, Junwei Han +1 more

Identification of genetic basis of brain imaging by group sparse multi-task learning leveraging summary statistics

Computational and Structural Biotechnology Journal(2024)10.1016/j.csbj.2024.08.027
N/A
0DataRank · unranked
2 citations

Dingnan Cui, Mingjianan Zhang, Jin Zhang, Muheng Shang, Lei Guo +3 more

Mutual-assistance learning for trustworthy biomarker discovery and disease prediction

Briefings in Bioinformatics(2025)10.1093/bib/bbaf178
N/A
0DataRank · unranked
0 citations

Yan Yang, Muheng Shang, Lei Guo, Daoqiang Zhang, Lei Du +2 more

inMTSCCA: An Integrated Multi-task Sparse Canonical Correlation Analysis for Multi-omics Brain Imaging Genetics

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.30.514398
N/A
0DataRank · unranked
0 citations

Jin Zhang, Ying Zhao, Muheng Shang, Lei Guo, Junwei Han +2 more