Victoria S. Jiang

Medicine

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 4 papers. Top paper: “Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records”.

Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records

Frontiers in Endocrinology(2024)10.3389/fendo.2024.1298628

N/A

0.648DataRank · unranked

74 citations

Victoria S. Jiang, Amber T. Wolf, Taiyao Wang, J. Jojo Cheng, Ioannis Ch. Paschalidis +2 more

Predicting polycystic ovary syndrome (PCOS) with machine learning algorithms from electronic health records

medRxiv(2023)10.1101/2023.07.27.23293255

N/A

0.269DataRank · unranked

5 citations

Victoria S. Jiang, Amber T. Wolf, Taiyao Wang, J. Jojo Cheng, Ioannis Ch. Paschalidis +2 more

Temporal trends in urinary concentrations of phenols, phthalate metabolites and phthalate replacements between 2000 and 2017 in Boston, MA

The Science of The Total Environment(2023)10.1016/j.scitotenv.2023.165353

N/A

0DataRank · unranked

28 citations

Antonia M. Calafat, Paige L. Williams, Jorge E. Chavarro, Jennifer B. Ford, Irene Souter +3 more

The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status

Journal of Assisted Reproduction and Genetics(2023)10.1007/s10815-022-02707-6

N/A

0DataRank · unranked

20 citations

Hemanth Kandula, Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, Panagiotis Cherouveim, Irene Souter +4 more