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

Hao Zhang

Wenzhou Medical University

ORCID: 0000-0002-2928-2692

Also affiliated with Affiliated Eye Hospital of Wenzhou Medical College, Beijing Academy of Artificial Intelligence

Computer Science

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 1%percentile

5.5Author 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 →

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

Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes

Nature Medicine(2022)10.1038/s41591-022-02116-3

Top 4%

5.5DataRank

Top 4%198 citations

Chengxi Zang, Zhenxing Xu, Yongkang Zhang, Jie Xu, Jiang Bian +14 more

Papers

Driven by 14 papers — median percentile 96. Top paper: “Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes”.

Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes

Nature Medicine(2022)10.1038/s41591-022-02116-3

Top 4%

5.5DataRank

Top 4%198 citations

Chengxi Zang, Zhenxing Xu, Yongkang Zhang, Jie Xu, Jiang Bian +14 more

Application of Deep Learning on Single-Cell RNA Sequencing Data Analysis: A Review

Genomics Proteomics & Bioinformatics(2022)10.1016/j.gpb.2022.11.011

N/A

0.680DataRank · unranked

92 citations

Chang Su, Zilong Bai, Hao Zhang, Olivier Elemento, Fei Wang +1 more

High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data

Nature Communications(2023)10.1038/s41467-023-43929-1

N/A

0.621DataRank · unranked

62 citations

Hao Zhang, Jie Xu, Hansi Zhang, Sajjad Fouladvand, Shreyas Havaldar +8 more

Single-cell multi-omics topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures

Cell Reports Methods(2023)10.1016/j.crmeth.2023.100563

N/A

0.464DataRank · unranked

21 citations

Hao Zhang, Zilong Bai, Dylan Mann‐Krzisnik, Fei Wang, Yue Li +1 more

Identifying progression subphenotypes of Alzheimer’s disease from large-scale electronic health records with machine learning

Journal of Biomedical Informatics(2025)10.1016/j.jbi.2025.104820

N/A

0.330DataRank · unranked

8 citations

Alice Tang, Hao Zhang, Zhenxing Xu, Alison Ke, Chang Su +11 more

dynaPhenoM: Dynamic Phenotype Modeling from Longitudinal Patient Records Using Machine Learning

medRxiv(2021)10.1101/2021.11.01.21265725

N/A

0.136DataRank · unranked

1 citations

Chengxi Zang, Jie Xu, Hansi Zhang, Sajjad Fouladvand, Shreyas Havaldar +7 more

Protocol to perform integrative analysis of high-dimensional single-cell multimodal data using an interpretable deep learning technique

STAR Protocols(2024)10.1016/j.xpro.2024.103066

N/A

0DataRank · unranked

1 citations

Hao Zhang, Zilong Bai, Dylan Mann‐Krzisnik, Fei Wang, Yue Li +1 more

Stochastic modeling of geometrical uncertainties on complex domains, with application to additive manufacturing and brain interface geometries

Computer Methods in Applied Mechanics and Engineering(2021)10.1016/j.cma.2021.114014

N/A

0DataRank · unranked

25 citations

Johann Guilleminot, Luis J. Gomez, Hao Zhang

Uncertainty- and hardness-weighted loss functions for medical image segmentation

Engineering Applications of Artificial Intelligence(2025)10.1016/j.engappai.2025.113118

N/A

0DataRank · unranked

2 citations

Yuting Wu, Jie Chen, Xiaoguo Yang, Hao Zhang, Quanyong Yi +3 more

Sepsis Subphenotyping Based on Organ Dysfunction Trajectory

medRxiv(2021)10.1101/2021.06.14.21258918

N/A

0DataRank · unranked

9 citations

Chengsheng Mao, Chang Su, Hao Zhang, Ilias Ι. Siempos, Lisa K. Torres +5 more

Machine learning enabled subgroup analysis with real-world data to inform better clinical trial design

medRxiv(2021)10.1101/2021.05.11.21257024

N/A

0DataRank · unranked

1 citations

Hao Zhang, Hansi Zhang, Jiang Bian, Fei Wang, Jie Xu

Machine Learning for Identifying Data-Driven Subphenotypes of Incident Post-Acute SARS-CoV-2 Infection Conditions with Large Scale Electronic Health Records: Findings from the RECOVER Initiative

medRxiv(2022)10.1101/2022.05.21.22275412

N/A

0DataRank · unranked

3 citations

Chengxi Zang, Zhenxing Xu, Yongkang Zhang, Jie Xu, Jiang Bian +14 more

Machine learning enabled subgroup analysis with real-world data to inform clinical trial eligibility criteria design

Scientific Reports(2023)10.1038/s41598-023-27856-1

N/A

0DataRank · unranked

14 citations

Hao Zhang, Hansi Zhang, Jiang Bian, Fei Wang, Jie Xu

Single-cell multi-omic topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.31.526312

N/A

0DataRank · unranked

3 citations

Hao Zhang, Zilong Bai, Dylan Mann‐Krzisnik, Fei Wang, Yue Li +1 more