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

Fengdi Zhao

Florida State University

ORCID: 0009-0007-8754-7955

Also affiliated with University of Florida, Florida Agricultural and Mechanical University

Biochemistry, 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

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 9 papers. Top paper: “Multi-task deep autoencoder to predict Alzheimer’s disease progression using temporal DNA methylation data in peripheral blood”.

Multi-task deep autoencoder to predict Alzheimer’s disease progression using temporal DNA methylation data in peripheral blood

Computational and Structural Biotechnology Journal(2022)10.1016/j.csbj.2022.10.016
N/A
1.0DataRank · unranked
28 citations

Andrew J. Saykin, Bing Yao, Fengdi Zhao, Alzheimer’s Disease Neuroimaging Initiative (ADNI), Li Chen

scaDA: A novel statistical method for differential analysis of single-cell chromatin accessibility sequencing data

PLoS Computational Biology(2024)10.1371/journal.pcbi.1011854
N/A
0.312DataRank · unranked
7 citations

Xin Ma, Bing Yao, Qing‐Yi Lu, Li Chen, Fengdi Zhao

Deep5hmC: predicting genome-wide 5-hydroxymethylcytosine landscape via a multimodal deep learning model

Bioinformatics(2024)10.1093/bioinformatics/btae528
N/A
0DataRank · unranked
7 citations

Sai Ritesh Thela, Fengdi Zhao, Bing Yao, Zhexing Wen, Peng Jin +3 more

Identification of brain region-specific landscape and functions of clustered circRNAs in Alzheimer’s disease using circMeta2

Communications Biology(2024)10.1038/s42003-024-07060-1
N/A
0DataRank · unranked
3 citations

Yangping Li, Li Chen, Bing Yao, Fengdi Zhao

scaDA: A Novel Statistical Method for Differential Analysis of Single-Cell Chromatin Accessibility Sequencing Data

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.21.576570
N/A
0DataRank · unranked
2 citations

Xin Ma, Bing Yao, Li Chen, Fengdi Zhao

Deep5hmC: Predicting genome-wide 5-Hydroxymethylcytosine landscape via a multimodal deep learning model

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.04.583444
N/A
0DataRank · unranked
1 citations

Sai Ritesh Thela, Fengdi Zhao, Bing Yao, Zhexing Wen, Peng Jin +3 more

The cat’s out of the bag: Toxoplasma gondii provides further insight into myeloid-mediated host defense

ImmunoHorizons(2025)10.1093/immhor/vlaf037
N/A
0DataRank · unranked
0 citations

Fengdi Zhao, Kamryn E Zadeii, Liqiao Chen, Américo H. López-Yglesias, Madison L Schanz

BayesCNet: Bayesian inference for cell type-specific regulatory networks leveraging cell type hierarchy in single-cell data

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.11.675686
N/A
0DataRank · unranked
0 citations

Arkaprava Roy, Weijia Jin, Leeana D. Peters, Todd M. Brusko, Qing Lu +4 more

TIVAN-indel: a computational framework for annotating and predicting non-coding regulatory small insertions and deletions

Bioinformatics(2023)10.1093/bioinformatics/btad060
N/A
0DataRank · unranked
12 citations

Fengdi Zhao, Yuchao Jiang, Li Chen, Aman Agarwal