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

Chenyu Zhang

Lung Institute

ORCID: 0000-0002-9799-8772
MedicineEngineering

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
0.482Author 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.

AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACTM) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and outperforms NT-proBNP: The multi-ethnic study of atherosclerosis

Journal of cardiovascular computed tomography(2024)10.1016/j.jcct.2024.04.005
Top 40%
0.482DataRank
Top 40%18 citations

David F. Yankelevitz, Anthony P. Reeves, Matthew J. Budoff, Dong Li, Kyle Atlas +11 more

Papers

Driven by 5 papers — median percentile 60. Top paper: “AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACTM) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and outperforms NT-proBNP: The multi-ethnic study of atherosclerosis”.

AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACTM) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and outperforms NT-proBNP: The multi-ethnic study of atherosclerosis

Journal of cardiovascular computed tomography(2024)10.1016/j.jcct.2024.04.005
Top 40%
0.482DataRank
Top 40%18 citations

David F. Yankelevitz, Anthony P. Reeves, Matthew J. Budoff, Dong Li, Kyle Atlas +11 more

Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction

npj Digital Medicine(2024)10.1038/s41746-024-01308-0
N/A
0DataRank · unranked
34 citations

Anthony P. Reeves, K. Atlas, Chenyu Zhang, Thomas Atlas, Claudia I. Henschke +16 more

AI-enabled cardiac chambers volumetry in coronary artery calcium scans (AI-CACTM) predicts heart failure and outperforms NT-proBNP: The multi-ethnic study of Atherosclerosis

Journal of cardiovascular computed tomography(2024)10.1016/j.jcct.2024.04.006
N/A
0DataRank · unranked
23 citations

Anthony P. Reeves, Matthew J. Budoff, Dong Li, Kyle Atlas, Chenyu Zhang +8 more

AI-enabled Cardiac Chambers Volumetry and Calcified Plaque Characterization in Coronary Artery Calcium (CAC) Scans (AI-CAC) Significantly Improves on Agatston CAC Score for Predicting All Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis

Research Square(2024)10.21203/rs.3.rs-4433105/v1
N/A
0DataRank · unranked
6 citations

Anthony P. Reeves, K. Atlas, Chenyu Zhang, Thomas Atlas, Claudia I. Henschke +15 more

AI-enabled opportunistic measurement of liver steatosis in coronary artery calcium scans predicts cardiovascular events and all-cause mortality: an AI-CVD study within the Multi-Ethnic Study of Atherosclerosis (MESA)

BMJ Open Diabetes Research & Care(2025)10.1136/bmjdrc-2024-004760
N/A
0DataRank · unranked
5 citations

Kyle Atlas, Anthony P. Reeves, Chenyu Zhang, Jakob Wasserthal, Thomas Atlas +23 more