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

Jiale Tan

Hebei University of Technology

ORCID: 0000-0002-2694-7310

Environmental 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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Are the relevant risk factors being adequately captured in empirical studies of smoking initiation? A machine learning analysis based on the Population Assessment of Tobacco and Health study”.

Are the relevant risk factors being adequately captured in empirical studies of smoking initiation? A machine learning analysis based on the Population Assessment of Tobacco and Health study

medRxiv(2022)10.1101/2022.09.18.22280076

N/A

0.104DataRank · unranked

1 citations

Mona Issabakhsh, Yameng Li, Luz María Sánchez‐Romero, Jiale Tan, Rafael Meza +3 more

Machine learning application for predicting smoking cessation among US adults: An analysis of waves 1-3 of the PATH study

PLoS ONE(2023)10.1371/journal.pone.0286883

N/A

0DataRank · unranked

18 citations

Luz María Sánchez‐Romero, Thuy T. T. Le, Alex C Liber, Jiale Tan, Yameng Li +4 more

Are the Relevant Risk Factors Being Adequately Captured in Empirical Studies of Smoking Initiation? A Machine Learning Analysis Based on the Population Assessment of Tobacco and Health Study

Nicotine & Tobacco Research(2023)10.1093/ntr/ntad066

N/A

0DataRank · unranked

3 citations

Mona Issabakhsh, Yameng Li, Luz María Sánchez‐Romero, Jiale Tan, Rafael Meza +3 more