Lynn Kuo
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 28
- Statistical Methods and Bayesian Inference 25
- Statistical Distribution Estimation and Applications 15
- Statistical Methods in Clinical Trials 5
- Software top 2%
- Paleontology top 5%
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- Reliability and Maintenance Optimization 5
- Genetics top 5%
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- Bayesian Methods and Mixture Models 21
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- Genomics and Phylogenetic Studies 6
- Gene expression and cancer classification 6
- Co-authors
- Paul O. LewisYu FanWangang XieMing‐Hui ChenTae Young YangBani K. MallickAlan E. GelfandRui Wu
- Journals
- Systematic Biology (5 papers)Journal of the American Statistical Association (5 papers)Journal of Computational and Graphical Statistics (4 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Lynn Kuo
73 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Statistics and Probability 590
- Software 159
- Paleontology 282
- Safety, Risk, Reliability and Quality 181
- Genetics 483
Countries citing papers authored by Lynn Kuo
This map shows the geographic impact of Lynn Kuo'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 Lynn Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn Kuo more than expected).
Fields of papers citing papers by Lynn Kuo
This network shows the impact of papers produced by Lynn Kuo. 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 Lynn Kuo. The network helps show where Lynn Kuo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lynn Kuo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2021 | 8 | |
| 3 | 2021 | 2 | |
| 4 | 2019 | 4 | |
| 5 | 2018 | 1 | |
| 6 | 2017 | 25 | |
| 7 | 2016 | 24 | |
| 8 | 2016 | 19 | |
| 9 | Dynamic Frailty and Change Point Models for Recurrent Events Data | 2013 | 1 |
| 10 | 2013 | 40 | |
| 11 | 2011 | 14 | |
| 12 | 2009 | 193 | |
| 13 | Detecting differentially expressed genes using calibrated bayes factors | 2008 | 2 |
| 14 | 2006 | 85 | |
| 15 | 2005 | 141 | |
| 16 | 2001 | 67 | |
| 17 | 1996 | 114 | |
| 18 | 1995 | 32 | |
| 19 | 1995 | 25 | |
| 20 | 1989 | 2 |
About Lynn Kuo
Lynn Kuo is a scholar working on Statistics and Probability, Software, Statistics, Probability and Uncertainty, Artificial Intelligence and Management Science and Operations Research, having authored 79 papers that have together received 2.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (28 papers), Statistical Methods and Bayesian Inference (25 papers), Bayesian Methods and Mixture Models (21 papers), Statistical Distribution Estimation and Applications (15 papers), Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (6 papers), Statistical Methods in Clinical Trials (5 papers) and Reliability and Maintenance Optimization (5 papers). The work is most often cited by research in Statistics and Probability (590 citations), Software (159 citations), Paleontology (282 citations), Safety, Risk, Reliability and Quality (181 citations) and Genetics (483 citations). Lynn Kuo has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Paul O. Lewis, Yu Fan, Wangang Xie, Ming‐Hui Chen, Tae Young Yang, Ming‐Hui Chen, Bani K. Mallick, Alan E. Gelfand, Rui Wu and Charles B. Hall. Their work appears in journals such as Systematic Biology, Journal of the American Statistical Association, Journal of Computational and Graphical Statistics, Biometrical Journal and Computational Statistics & Data Analysis.
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.