Ilsoon Yang
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Hepatology top 5%
- Hepatitis C virus research
Papers in
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- Statistical Methods and Bayesian Inference 5
- Statistical Methods and Inference 4
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- Bayesian Methods and Mixture Models 2
- Co-authors
- Kenneth Lange (4 shared papers)David R. Hunter (2 shared papers)Z. Ying (1 shared paper)D. Y. Lin (1 shared paper)L. J. Wei (1 shared paper)Mark P. Becker (4 shared papers)Janice K. Albrecht (1 shared paper)Martha Bayliss (1 shared paper)
- Journals
- Statistical Methods in Medical Research (2 papers)Journal of Computational and Graphical Statistics (2 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (1 paper)Journal of Hepatology (1 paper)Biometrics (1 paper)
- Partner nations
- United States
In The Last Decade
Ilsoon Yang
10 papers receiving 1.7k citations
Ilsoon Yang's Hit Papers
Peers
Comparison fields: 5 of 148
- Statistics and Probability 683
- Hepatology 180
- Computational Mechanics 225
- Artificial Intelligence 305
- Computer Vision and Pattern Recognition 190
Countries citing papers authored by Ilsoon Yang
This map shows the geographic impact of Ilsoon Yang'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 Ilsoon Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilsoon Yang more than expected).
Fields of papers citing papers by Ilsoon Yang
This network shows the impact of papers produced by Ilsoon Yang. 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 Ilsoon Yang. The network helps show where Ilsoon Yang may publish in the future.
Co-authors
The 13 scholars most cited alongside Ilsoon Yang, 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 | Semiparametric Regression for the Mean and Rate Functions of Recurrent Events Hit paper breakdown → | 2000 | 647 |
| 2 | 2000 | 488 | |
| 3 | 2000 | 213 | |
| 4 | 2001 | 182 | |
| 5 | 1997 | 120 | |
| 6 | 1997 | 55 | |
| 7 | 1997 | 18 | |
| 8 | 1998 | 18 | |
| 9 | 1998 | 4 | |
| 10 | Latent class marginal models for the analysis of cross-classified categorical data. | 1996 | 3 |
About Ilsoon Yang
Ilsoon Yang is a scholar working on Statistics and Probability, Artificial Intelligence, Computational Theory and Mathematics, Sociology and Political Science and Epidemiology, having authored 10 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (4 papers), Bayesian Methods and Mixture Models (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Crime Patterns and Interventions (1 paper), Hepatitis B Virus Studies (1 paper), Qualitative Comparative Analysis Research (1 paper) and Hepatitis C virus research (1 paper). The work is most often cited by research in Statistics and Probability (683 citations), Hepatology (180 citations), Computational Mechanics (225 citations), Artificial Intelligence (305 citations) and Computer Vision and Pattern Recognition (190 citations). Ilsoon Yang has collaborated with scholars based in United States. Frequent co-authors include Kenneth Lange, David R. Hunter, Z. Ying, D. Y. Lin, L. J. Wei, Mark P. Becker, Janice K. Albrecht, Martha Bayliss, John E. Ware and John G. McHutchison. Their work appears in journals such as Statistical Methods in Medical Research, Journal of Computational and Graphical Statistics, Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of Hepatology and Biometrics.
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.