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

Siyi Tang

Fujian Medical University

ORCID: 0000-0001-7504-5885

Also affiliated with Southwest Medical University, Affiliated Hospital of Southwest Medical University, First Affiliated Hospital of Fujian Medical University

Computer ScienceNeuroscienceMedicine

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 4%percentile
0.884Author 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.

Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset

Journal of Biomedical Informatics(2020)10.1016/j.jbi.2020.103656
Top 23%
0.884DataRank
Top 23%19 citations

Jared Dunnmon, Ann He, Siyi Tang, Christopher Ré, Daniel L. Rubin +1 more

Papers

Driven by 9 papers — median percentile 77. Top paper: “Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes”.

Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes

Circulation Arrhythmia and Electrophysiology(2022)10.1161/circep.122.010850
N/A
2.0DataRank · unranked
78 citations

Orod Razeghi, Ridhima Kapoor, Mahmood Alhusseini, Muhammad Fazal, Albert J. Rogers +7 more

Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset

Journal of Biomedical Informatics(2020)10.1016/j.jbi.2020.103656
Top 23%
0.884DataRank
Top 23%19 citations

Jared Dunnmon, Ann He, Siyi Tang, Christopher Ré, Daniel L. Rubin +1 more

Towards trustworthy seizure onset detection using workflow notes

arXiv (Cornell University)(2023)10.48550/arxiv.2306.08728
N/A
0.104DataRank · unranked
1 citations

Siyi Tang, Mohamed Taha, Christopher Lee‐Messer, Christopher Ré, Daniel L. Rubin +1 more

Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients

Journal of Medical Imaging(2023)10.1117/1.jmi.10.3.034004
N/A
0DataRank · unranked
6 citations

Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice Newsome, Daniel L. Rubin +4 more

Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction

(2023)10.1109/ner52421.2023.10123892
N/A
0DataRank · unranked
2 citations

Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice Newsome, Daniel L. Rubin +5 more

Towards trustworthy seizure onset detection using workflow notes

npj Digital Medicine(2024)10.1038/s41746-024-01008-9
N/A
0DataRank · unranked
9 citations

Siyi Tang, Mohamed Taha, Christopher Lee‐Messer, Christopher Ré, Daniel L. Rubin +1 more

CircUBE3A inhibited endothelium–mesenchymal transition by promoting UBE3A mRNA degradation via ac4C modification in diabetic vascular impairment

Biochemical Pharmacology(2026)10.1016/j.bcp.2026.118091
N/A
0DataRank · unranked
0 citations

Weiping Zhou, Cheng Li, Chao Zhang, Kai Yang, Shuyi He +2 more

Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset

Scientific Reports(2021)10.1038/s41598-021-87762-2
N/A
0DataRank · unranked
75 citations

Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Zou +2 more

Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography

Journal of Cardiovascular Electrophysiology(2023)10.1111/jce.15890
N/A
0DataRank · unranked
31 citations

Ridhima Kapoor, Mahmood Alhusseini, Muhammad Fazal, Siyi Tang, Caroline H. Roney +9 more