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

Fei Yu

University of North Carolina at Chapel Hill

ORCID: 0000-0003-1079-1590

Also affiliated with Changsha University of Science and Technology

Computer ScienceHealth ProfessionsPsychologyDecision Sciences

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
0.484Author 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 →

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.

Evaluating the impact of a CTSA program from 2008 to 2021 through bibliometrics, social network analysis, and altmetrics

Journal of Clinical and Translational Science(2023)10.1017/cts.2022.530
Top 39%
0.484DataRank
Top 39%7 citations

Tanha Patel, Andrea Carnegie, Gaurav Dave, Fei Yu

Papers

Driven by 7 papers — median percentile 30. Top paper: “Evaluating the impact of a CTSA program from 2008 to 2021 through bibliometrics, social network analysis, and altmetrics”.

Evaluating the impact of a CTSA program from 2008 to 2021 through bibliometrics, social network analysis, and altmetrics

Journal of Clinical and Translational Science(2023)10.1017/cts.2022.530
Top 39%
0.484DataRank
Top 39%7 citations

Tanha Patel, Andrea Carnegie, Gaurav Dave, Fei Yu

Individualized interventions and precision health: Lessons learned from a systematic review and implications for analytics‐driven geriatric research

Journal of the American Geriatrics Society(2022)10.1111/jgs.18141
N/A
0DataRank · unranked
8 citations

Nikki L. B. Freeman, Emily P. Jones, Daniela Shirazi, Sydney E. Browder, Annie Page +7 more

Scholarly Productivity Evaluation of KL2 Scholars Using Bibliometrics and Federal Follow-on Funding: Cross-Institution Study

Journal of Medical Internet Research(2021)10.2196/29239
N/A
0DataRank · unranked
7 citations

Fei Yu, Tanha Patel, Gaurav Dave, Katherine Cornelius, Clara M. Pelfrey +1 more

Conversational Interfaces for Health: Bibliometric Analysis of Grants, Publications, and Patents

UNC Libraries(2024)10.17615/g57c-x022
N/A
0DataRank · unranked
0 citations

Jennifer S. Walker, Lixin Song, Jian Du, Fei Yu, Nandita S. Mani +2 more

Librarians' contributions to and impact on pharmacy scholarship: A bibliometric analysis using a systematic approach

The Journal of Academic Librarianship(2025)10.1016/j.acalib.2025.103016
N/A
0DataRank · unranked
1 citations

Emily P. Jones, Christopher S. Wisniewski, Jennifer N. Wisniewski, Emma Barrett-Catton, Michael D. Wolcott +2 more

Evaluating the impact of a CTSA program from 2008 to 2021 through bibliometrics, social network analysis, and altmetrics

UNC Libraries(2025)10.17615/1psp-qk79
Top 100%
0DataRank
Top 100%0 citations

Gaurav Dave, Andrea Carnegie, Fei Yu, Tanha Patel

The application of exponential random graph models to collaboration networks in biomedical and health sciences: a review

Network Modeling Analysis in Health Informatics and Bioinformatics(2024)10.1007/s13721-023-00439-w
N/A
0DataRank · unranked
7 citations

Helal El-Zaatari, Michael R. Kosorok, Andrea Carnegie, Gaurav Dave, Fei Yu