Jun Yan
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Finance top 1%
- Financial Risk and Volatility Modeling
Papers in
-
- Statistical Methods and Bayesian Inference 43
- Statistical Methods and Inference 41
- Statistical Distribution Estimation and Applications 22
- Advanced Statistical Methods and Models 10
- Finance 30
- Financial Risk and Volatility Modeling 26
- Co-authors
- Ulrich Halekoh (2 shared papers)Søren Højsgaard (2 shared papers)Ivan Kojadinovic (15 shared papers)Jason P. Fine (8 shared papers)Robert H. Aseltine (13 shared papers)Xuebin Zhang (12 shared papers)Saikat Maitra (1 shared paper)Mekonnen Gebremichael (5 shared papers)
- Journals
- Journal of the American Statistical Association (9 papers)Journal of Statistical Software (7 papers)Statistics and Computing (7 papers)Statistics in Medicine (6 papers)The Annals of Applied Statistics (5 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Jun Yan
144 papers receiving 5.7k citations
Jun Yan's Hit Papers
Peers
Comparison fields: 5 of 216
- Statistics and Probability 1.1k
- Finance 590
- Global and Planetary Change 808
- Developmental Biology 73
- Statistics, Probability and Uncertainty 214
Countries citing papers authored by Jun Yan
This map shows the geographic impact of Jun Yan'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 Jun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yan more than expected).
Fields of papers citing papers by Jun Yan
This network shows the impact of papers produced by Jun Yan. 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 Jun Yan. The network helps show where Jun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TheRPackagegeepackfor Generalized Estimating Equations Hit paper breakdown → | 2006 | 1583 |
| 2 | 2004 | 405 | |
| 3 | 2004 | 392 | |
| 4 | 2007 | 354 | |
| 5 | 2010 | 290 | |
| 6 | 2012 | 214 | |
| 7 | Principle Component Analysis and Partial Least Squares: Two Dimension Reduction Techniques for Regression | 2008 | 119 |
| 8 | 2018 | 118 | |
| 9 | 2016 | 94 | |
| 10 | 2009 | 90 | |
| 11 | 2010 | 74 | |
| 12 | 2011 | 72 | |
| 13 | 2021 | 62 | |
| 14 | 2011 | 60 | |
| 15 | 2011 | 55 | |
| 16 | 2018 | 54 | |
| 17 | 2020 | 53 | |
| 18 | 2021 | 52 | |
| 19 | 2010 | 46 | |
| 20 | 2006 | 43 |
About Jun Yan
Jun Yan is a scholar working on Statistics and Probability, Finance, Global and Planetary Change, Management Science and Operations Research and Economics and Econometrics, having authored 155 papers that have together received 5.9k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (43 papers), Statistical Methods and Inference (41 papers), Financial Risk and Volatility Modeling (26 papers), Statistical Distribution Estimation and Applications (22 papers), Hydrology and Drought Analysis (18 papers), Bayesian Methods and Mixture Models (12 papers), Climate variability and models (11 papers) and Advanced Statistical Methods and Models (10 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Finance (590 citations), Global and Planetary Change (808 citations), Developmental Biology (73 citations) and Statistics, Probability and Uncertainty (214 citations). Jun Yan has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Ulrich Halekoh, Søren Højsgaard, Ivan Kojadinovic, Jason P. Fine, Robert H. Aseltine, Xuebin Zhang, Saikat Maitra, Mekonnen Gebremichael, Sy Han Chiou and Daniel C. R. Chen. Their work appears in journals such as Journal of the American Statistical Association, Journal of Statistical Software, Statistics and Computing, Statistics in Medicine and The Annals of Applied Statistics.
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.