Jie Xu

Also affiliated with University of Florida Health, University of Florida, Wuhan University, Renmin Hospital of Wuhan University, Florida College

Computer ScienceMedicine

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

6.4Author DataRank

Indexed papers

2in 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 2 indexed papers 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 35 papers — median percentile 87. 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

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19

medRxiv(2020)10.1101/2020.08.11.20172809

N/A

2.7DataRank · unranked

51 citations

Suraj K. Jaladanki, Jie Xu, Shelly Teng, Arvind Kumar, Samuel Lee +18 more

Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts

Communications Medicine(2024)10.1038/s43856-024-00549-0

Top 22%

0.902DataRank

Top 22%42 citations

Yu Hou, Edward J. Schenck, Zhenxing Xu, Yongkang Zhang, Jie Xu +15 more

Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records

Psychiatric Research and Clinical Practice(2023)10.1176/appi.prcp.20220015

N/A

0.725DataRank · unranked

17 citations

Veer Vekaria, Fei Wang, Judith Cukor, Chang Su, Prakash Adekkanattu +10 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

Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative

Nature Communications(2023)10.1038/s41467-023-37653-z

N/A

0.612DataRank · unranked

58 citations

Yongkang Zhang, Jie Xu, Jiang Bian, Dmitry Morozyuk, Edward J. Schenck +11 more

High-Throughput Clinical Trial Emulation with Real World Data and Machine Learning: A Case Study of Drug Repurposing for Alzheimer’s Disease

medRxiv(2022)10.1101/2022.01.31.22270132

N/A

0.312DataRank · unranked

7 citations

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

COMPAC: COMputable Phenotype for Asthma in Children

Research Square(2025)10.21203/rs.3.rs-6370010/v1

N/A

0.104DataRank · unranked

1 citations

Jinqian Pan, David A. Fedele, Mengxian Lyu, Morgan Henson, Nolan Menze +8 more

Algorithmic Fairness in Computational Medicine

medRxiv(2022)10.1101/2022.01.16.21267299

N/A

0DataRank · unranked

10 citations

Yunyu Xiao, Hui Wang, Yue Ning, Elizabeth Shenkman, Jiang Bian +2 more

Understanding Post-Acute Sequelae of SARS-CoV-2 Infection through Data-Driven Analysis with Longitudinal Electronic Health Records: Findings from the RECOVER Initiative

medRxiv(2022)10.1101/2022.05.21.22275420

N/A

0DataRank · unranked

8 citations

Yongkang Zhang, Jie Xu, Jiang Bian, Dmitry Morozyuk, Edward J. Schenck +11 more

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

Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study

Scientific Reports(2023)10.1038/s41598-023-27493-8

N/A

0DataRank · unranked

17 citations

Luke V. Rasmussen, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu +13 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

Association of Medicaid expansion with 2‐year survival and time to treatment initiation in gastrointestinal cancer patients: A National Cancer Database study

Journal of Surgical Oncology(2023)10.1002/jso.27456

N/A

0DataRank · unranked

7 citations

Guanming Chen, Jie Xu, Lauren Edgar, Keouna Pather, Meghan C. Daly +7 more

Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program

Environmental Advances(2023)10.1016/j.envadv.2023.100352

N/A

0DataRank · unranked

13 citations

Hui Hu, Vasilios Fokaidis, Colby Lewis, Jie Xu, Chengxi Zang +12 more

Real-world Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents

medRxiv(2023)10.1101/2023.06.16.23291515

N/A

0DataRank · unranked

8 citations

Jiayi Tong, Bingyu Zhang, Dazheng Zhang, Jiajie Chen, Yuqing Lei +23 more

Risk Factors and Predictive Modeling for Post-Acute Sequelae of SARS-CoV-2 Infection: Findings from EHR Cohorts of the RECOVER Initiative

Research Square(2023)10.21203/rs.3.rs-2592194/v1

N/A

0DataRank · unranked

2 citations

Yu Hou, Edward J. Schenck, Zhenxing Xu, Yongkang Zhang, Jie Xu +15 more

Excess burden of respiratory and abdominal conditions following COVID-19 infections during the ancestral and Delta variant periods in the United States: An EHR-based cohort study from the RECOVER Program

medRxiv(2023)10.1101/2023.02.15.23286012

N/A

0DataRank · unranked

1 citations

Chengxi Zang, Thomas W. Carton, Jason P. Block, Dhruv J. Khullar, Yongkang Zhang +14 more

Real-World Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents

Annals of Internal Medicine(2024)10.7326/m23-1754

N/A

0DataRank · unranked

34 citations

Jiayi Tong, Bingyu Zhang, Dazheng Zhang, Jiajie Chen, Yuqing Lei +23 more

Excess burden of respiratory and abdominal conditions following COVID-19 infections during the ancestral and Delta variant periods in the United States: An EHR-based cohort study from the RECOVER program

PLoS ONE(2024)10.1371/journal.pone.0282451

N/A

0DataRank · unranked

3 citations

Chengxi Zang, Thomas W. Carton, Jason P. Block, Dhruv J. Khullar, Yongkang Zhang +14 more

Develop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring(2024)10.1002/dad2.12613

N/A

0DataRank · unranked

2 citations

Ruoqi Wei, Yu Huang, Zhaoyi Chen, Tianchen Lyu, Sarah Bost +16 more

An Interpretable Population Graph Network to Identify Rapid Progression of Alzheimer’s Disease Using UK Biobank

medRxiv(2024)10.1101/2024.03.27.24304966

N/A

0DataRank · unranked

5 citations

Rohit Inampudi, Xiang Zhang, Jie Xu, Yu Huang, Mingyi Xie +3 more

Identifying Sex-Specific Sub-phenotypes of Alzheimer’s Disease Progression Using Longitudinal Electronic Health Records

medRxiv(2024)10.1101/2024.07.07.24310055

N/A

0DataRank · unranked

4 citations

Qiang Yang, Jie Xu, Yu Huang, Cankun Wang, Qianqian Song +6 more

Evolution of digital twins in precision health applications: a scoping review study

Research Square(2024)10.21203/rs.3.rs-4612942/v1

N/A

0DataRank · unranked

4 citations

Yu Huang, Hao‐Fu Dai, Jie Xu, Ruoqi Wei, Leyang Sun +3 more

From image to report: automating lung cancer screening interpretation and reporting with vision-language models

Journal of Biomedical Informatics(2025)10.1016/j.jbi.2025.104931

N/A

0DataRank · unranked

2 citations

Qinglin Gou, Leyi Zhao, Tiancheng Zhou, Hongyu Chen, Dong Yang +11 more

Identifying Alzheimer’s Disease Progression Subphenotypes via a Graph-based Framework using Electronic Health Records

Research Square(2025)10.21203/rs.3.rs-6257332/v1

N/A

0DataRank · unranked

0 citations

Jie Xu, Zhengkang Fan, Yu Hu, Xing He, Aokun Chen +11 more

Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language

Learning Health Systems(2020)10.1002/lrh2.10233

N/A

0DataRank · unranked

24 citations

Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Faraz S. Ahmad +9 more

Predicting Alzheimer’s Disease Diagnosis, a Decade or more Years before Onset using the Electronic Health Record and Random Forest Machine Learning Models

medRxiv(2025)10.1101/2025.11.04.25338396

N/A

0DataRank · unranked

0 citations

Richard D. Boyce, Scott A. Malec, Steven M. Albert, C. Elizabeth Shaaban, Arthur S. Levine +9 more

Subphenotyping depression using machine learning and electronic health records

Learning Health Systems(2020)10.1002/lrh2.10241

N/A

0DataRank · unranked

30 citations

Fei Wang, Prakash Adekkanattu, Budhaditya Bose, Veer Vekaria, Pascal Brandt +9 more

PARP1-mediated PARylation activity is essential for oligodendroglial differentiation and CNS myelination

Cell Reports(2021)10.1016/j.celrep.2021.109695

N/A

0DataRank · unranked

50 citations

Yanhong Zhang, Sheng Zhang, Bokyung Kim, Vanessa L. Hull, Jie Xu +7 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

Protocol for Development of a Reporting Guideline for Causal and Counterfactual Prediction Models

medRxiv(2021)10.1101/2021.11.19.21266604

N/A

0DataRank · unranked

0 citations

Yi Guo, Fei Wang, Hua Xu, Robert Lucero, Jiang Bian +2 more

Algorithmic fairness in computational medicine

EBioMedicine(2022)10.1016/j.ebiom.2022.104250

N/A

0DataRank · unranked

150 citations

Yunyu Xiao, Hui Wang, Yue Ning, Elizabeth Shenkman, Jiang Bian +2 more

Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer’s disease and related dementias

International Journal of Medical Informatics(2022)10.1016/j.ijmedinf.2022.104973

N/A

0DataRank · unranked

21 citations

Hansi Zhang, Xi Yang, Songzi Wu, Xing He, Jie Xu +12 more

Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine

BMJ Open(2022)10.1136/bmjopen-2021-059715

N/A

0DataRank · unranked

6 citations

Yi Guo, Fei Wang, Hua Xu, Robert Lucero, Jiang Bian +2 more

Jie Xu

Indexed papers

Top data-sharing exemplar

Papers