Xihong Lin
Impact in
- Statistics and Probability top 0.05%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Modeling and Simulation top 0.2%
Papers in
-
- Statistical Methods and Inference 60
- Statistical Methods and Bayesian Inference 56
- Genetics 93
- Genetic Associations and Epidemiology 72
- Genetic Mapping and Diversity in Plants and Animals 29
- Genetic and phenotypic traits in livestock 27
- Co-authors
- Seunggeun LeeMichael BoehnkeRaymond J. CarrollMichael C. WuDavid C. ChristianiTianxi CaiYun LiD. Zhang
- Journals
- Biometrics (29 papers)Journal of the American Statistical Association (28 papers)The American Journal of Human Genetics (17 papers)Genetic Epidemiology (13 papers)PLoS ONE (8 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xihong Lin
311 papers receiving 19.4k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Statistics and Probability 3.2k
- Modeling and Simulation 868
- Genetics 5.2k
- Health, Toxicology and Mutagenesis 1.3k
- Pulmonary and Respiratory Medicine 2.4k
Countries citing papers authored by Xihong Lin
This map shows the geographic impact of Xihong Lin'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 Xihong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xihong Lin more than expected).
Fields of papers citing papers by Xihong Lin
This network shows the impact of papers produced by Xihong Lin. 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 Xihong Lin. The network helps show where Xihong Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xihong Lin, 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 | 2024 | 5 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 85 | |
| 7 | 2021 | 6 | |
| 8 | 2019 | 117 | |
| 9 | 2017 | 25 | |
| 10 | 2016 | 48 | |
| 11 | 2016 | 0 | |
| 12 | 2016 | 5 | |
| 13 | 2015 | 15 | |
| 14 | Hypothesis Testing for Sparse Binary Regression | 2013 | 2 |
| 15 | 2010 | 39 | |
| 16 | HISTOSPLINE METHOD IN NONPARAMETRIC REGRESSION MODELS WITH APPLICATION TO CLUSTERED/LONGITUDINAL DATA | 2004 | 9 |
| 17 | 2000 | 228 | |
| 18 | 2000 | 67 | |
| 19 | 1998 | 99 | |
| 20 | 1996 | 11 |
About Xihong Lin
Xihong Lin is a scholar working on Statistics and Probability, Genetics, Modeling and Simulation, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 320 papers that have together received 19.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (72 papers), Statistical Methods and Inference (60 papers), Statistical Methods and Bayesian Inference (56 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers), Gene expression and cancer classification (27 papers), Genetic and phenotypic traits in livestock (27 papers), Epigenetics and DNA Methylation (26 papers) and Bayesian Methods and Mixture Models (23 papers). The work is most often cited by research in Statistics and Probability (3.2k citations), Modeling and Simulation (868 citations), Genetics (5.2k citations), Health, Toxicology and Mutagenesis (1.3k citations) and Pulmonary and Respiratory Medicine (2.4k citations). Xihong Lin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Seunggeun Lee, Michael Boehnke, Raymond J. Carroll, Michael C. Wu, David C. Christiani, Tianxi Cai, Yun Li, D. Zhang, Chaolong Wang and Gonçalo R. Abecasis. Their work appears in journals such as Biometrics, Journal of the American Statistical Association, The American Journal of Human Genetics, Genetic Epidemiology and PLoS ONE.
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.