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

Fei He

University of South Florida

ORCID: 0000-0002-3284-9506

Also affiliated with University of Missouri

Immunology and MicrobiologyMedicineBiochemistry, Genetics and Molecular Biology

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 5%percentile
0.399Author 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 →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

pathCLIP: Detection of Genes and Gene Relations From Biological Pathway Figures Through Image-Text Contrastive Learning

IEEE Journal of Biomedical and Health Informatics(2024)10.1109/jbhi.2024.3383610
Top 46%
0.399DataRank
Top 46%8 citations

Kai Liu, Zhiyuan Yang, Yibo Chen, Richard Hammer, Dong Xu +2 more

Papers

Driven by 12 papers — median percentile 54. Top paper: “Define and visualize pathological architectures of human tissues from spatially resolved transcriptomics using deep learning”.

Define and visualize pathological architectures of human tissues from spatially resolved transcriptomics using deep learning

Computational and Structural Biotechnology Journal(2022)10.1016/j.csbj.2022.08.029
N/A
0.598DataRank · unranked
53 citations

Fei He, Juexin Wang, Shuo Chen, Jingyi Li, Jixin Liu +14 more

Parameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.27.577455
N/A
0.512DataRank · unranked
8 citations

Ruixin Fei, Mingyue Gao, Li Su, Xinyu Zhang, Dong Xu +1 more

pathCLIP: Detection of Genes and Gene Relations From Biological Pathway Figures Through Image-Text Contrastive Learning

IEEE Journal of Biomedical and Health Informatics(2024)10.1109/jbhi.2024.3383610
Top 46%
0.399DataRank
Top 46%8 citations

Kai Liu, Zhiyuan Yang, Yibo Chen, Richard Hammer, Dong Xu +2 more

AI-Aided Design of Novel Targeted Covalent Inhibitors against SARS-CoV-2

Biomolecules(2022)10.3390/biom12060746
N/A
0DataRank · unranked
111 citations

Fengming He, Dongpeng Liu, Fei He, Tong Wu, Meijuan Fang +4 more

Integrating Protein Structure Prediction and Bayesian Optimization for Peptide Design

(2024)10.22541/au.171051650.04538132/v1
N/A
0DataRank · unranked
8 citations

Fei He, Duolin Wang, Dong Xu, Negin Manshour

MTPrompt-PTM: A Multi-Task Method for Post-Translational Modification Prediction Using Prompt Tuning on a Structure-Aware Protein Language Model

Biomolecules(2025)10.3390/biom15060843
N/A
0DataRank · unranked
6 citations

Fei He, Qing Shao, Duolin Wang, Dong Xu, Ye Han

Harnessing the Power of Single-Cell Large Language Models with Parameter Efficient Fine-Tuning using scPEFT

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.21.649754
N/A
0DataRank · unranked
1 citations

Ruixin Fei, Jordan E. Krull, Xinyu Zhang, Mingyue Gao, Li Wei Su +9 more

Harnessing the Power of Single Cell Large Language Models with Parameter Efficient Fine-Tuning using scPEFT

Research Square(2025)10.21203/rs.3.rs-5926885/v1
N/A
0DataRank · unranked
0 citations

Fei He, Ruixin Fei, Jordan E. Krull, Xinyu Zhang, Mingyue Gao +9 more

MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization

Nucleic Acids Research(2020)10.1093/nar/gkaa275
N/A
0DataRank · unranked
317 citations

Dongpeng Liu, Jiakang Yuchi, Fei He, Yuexu Jiang, Siteng Cai +3 more

Reusability Report: Meta-Learning for Antigen-Specific T-Cell Receptor Binder Identification

Research Square(2025)10.21203/rs.3.rs-7456773/v1
N/A
0DataRank · unranked
0 citations

Fei He, Xianyu Wang, Dong Xu

MU-PseUDeep: A deep learning method for prediction of pseudouridine sites

Computational and Structural Biotechnology Journal(2020)10.1016/j.csbj.2020.07.010
N/A
0DataRank · unranked
18 citations

Fei He, Duolin Wang, Yongbing Chen, Dong Xu, Saad M. Khan

Define and visualize pathological architectures of human tissues from spatially resolved transcriptomics using deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.07.08.451210
N/A
0DataRank · unranked
12 citations

Fei He, Juexin Wang, Shuo Chen, Jingyi Li, Jixin Liu +14 more