J. Kenneth Tay

885 total citations · 1 hit paper
6 papers, 456 citations indexed

About

J. Kenneth Tay is a scholar working on Artificial Intelligence, Gastroenterology and Statistics and Probability. According to data from OpenAlex, J. Kenneth Tay has authored 6 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Gastroenterology and 2 papers in Statistics and Probability. Recurrent topics in J. Kenneth Tay's work include Statistical Methods and Inference (2 papers), Gastrointestinal Bleeding Diagnosis and Treatment (2 papers) and Statistical Methods and Bayesian Inference (1 paper). J. Kenneth Tay is often cited by papers focused on Statistical Methods and Inference (2 papers), Gastrointestinal Bleeding Diagnosis and Treatment (2 papers) and Statistical Methods and Bayesian Inference (1 paper). J. Kenneth Tay collaborates with scholars based in United States, Denmark and United Kingdom. J. Kenneth Tay's co-authors include Trevor Hastie, Balasubramanian Narasimhan, Loren Laine, Dennis Shung, Michael Schultz, Adrian J. Stanley, Harry R. Dalton, Jeffrey Ngu, Richard A. Taylor and Stig Borbjerg Laursen and has published in prestigious journals such as Gastroenterology, Scientific Reports and Journal of Statistical Software.

In The Last Decade

J. Kenneth Tay

6 papers receiving 450 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Elastic Net Regularization Paths for All Generalized Linear Models

2023 271 citations J. Kenneth Tay, Balasubramanian Narasimhan et al. Journal of Statistical Software profile →

Peers

Countries citing papers authored by J. Kenneth Tay

Since Specialization

Citations

This map shows the geographic impact of J. Kenneth Tay's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. Kenneth Tay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Kenneth Tay more than expected).

Fields of papers citing papers by J. Kenneth Tay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Kenneth Tay. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. Kenneth Tay. The network helps show where J. Kenneth Tay may publish in the future.

Co-authorship network of co-authors of J. Kenneth Tay

This figure shows the co-authorship network connecting the top 25 collaborators of J. Kenneth Tay. A scholar is included among the top collaborators of J. Kenneth Tay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Kenneth Tay. J. Kenneth Tay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	Elastic Net Regularization Paths for All Generalized Linear Models breakdown → 2023 ·Journal of Statistical Software ·J. Kenneth Tay, Balasubramanian Narasimhan, Trevor Hastie	271
2	Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit 2021 ·Scientific Reports ·Dennis Shung, Jessie Huang, (unknown), J. Kenneth Tay, Michael Simonov, Loren Laine, Ramesh Batra, Smita Krishnaswamy	21
3	Feature-Weighted Elastic Net: Using "Features of Features" for Better Prediction 2021 ·Statistica Sinica ·J. Kenneth Tay, Nima Aghaeepour, Trevor Hastie, Robert Tibshirani	8
4	Reluctant Generalised Additive Modelling 2020 ·International Statistical Review ·J. Kenneth Tay, Robert Tibshirani	8
5	Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules 2020 ·Journal of Gastroenterology and Hepatology ·Dennis Shung, Cynthia Tsay, Loren Laine, David Chang, Fan Li, Prem Thomas, Caitlin Partridge, Michael Simonov, Allen Hsiao, J. Kenneth Tay, Andrew Taylor	16
6	Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding 2019 ·Gastroenterology ·Dennis Shung, (unknown), Richard A. Taylor, J. Kenneth Tay, Stig Borbjerg Laursen, Adrian J. Stanley, Harry R. Dalton, Jeffrey Ngu, Michael Schultz, Loren Laine	132

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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