Kah Yee Tai

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: “Leveraging Mann–Whitney U test on large-scale genetic variation data for analysing malaria genetic markers”.

Leveraging Mann–Whitney U test on large-scale genetic variation data for analysing malaria genetic markers

Malaria Journal(2022)10.1186/s12936-022-04104-x

N/A

0DataRank · unranked

40 citations

Jasbir Dhaliwal, Vinod Balasubramaniam, Kah Yee Tai

Machine learning model for malaria risk prediction based on mutation location of large-scale genetic variation data

Journal Of Big Data(2022)10.1186/s40537-022-00635-x

N/A

0DataRank · unranked

16 citations

Jasbir Dhaliwal, Kah Yee Tai

Risk score prediction model based on single nucleotide polymorphism for predicting malaria: a machine learning approach

BMC Bioinformatics(2022)10.1186/s12859-022-04870-0

N/A

0DataRank · unranked

3 citations

Jasbir Dhaliwal, KokSheik Wong, Kah Yee Tai