Lexin Li
Impact in
- Computational Mathematics top 0.2%
- Tensor decomposition and applications
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
Papers in
-
- Statistical Methods and Inference 39
- Statistical Methods and Bayesian Inference 15
-
- Gene expression and cancer classification 12
- Co-authors
- Hua Zhou (4 shared papers)Hongtu Zhu (1 shared paper)Runze Li (1 shared paper)Christopher J. Nachtsheim (5 shared papers)Xiangrong Yin (3 shared papers)Paul J. Hagerman (4 shared papers)Randi J. Hagerman (4 shared papers)Will Wei Sun (7 shared papers)
- Journals
- Journal of the American Statistical Association (21 papers)Biometrics (9 papers)Statistica Sinica (7 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (7 papers)The Annals of Statistics (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Lexin Li
100 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 151
- Computational Mathematics 445
- Statistics and Probability 1.0k
- Genetics 647
- Cognitive Neuroscience 370
- Computational Mechanics 348
Countries citing papers authored by Lexin Li
This map shows the geographic impact of Lexin Li'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 Lexin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lexin Li more than expected).
Fields of papers citing papers by Lexin Li
This network shows the impact of papers produced by Lexin Li. 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 Lexin Li. The network helps show where Lexin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Lexin Li, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 334 | |
| 2 | 2013 | 331 | |
| 3 | 2007 | 161 | |
| 4 | 2007 | 135 | |
| 5 | 2016 | 127 | |
| 6 | 2007 | 110 | |
| 7 | 2007 | 99 | |
| 8 | 2008 | 93 | |
| 9 | 2011 | 90 | |
| 10 | 2006 | 85 | |
| 11 | 2018 | 82 | |
| 12 | 2004 | 79 | |
| 13 | 2011 | 79 | |
| 14 | 2005 | 67 | |
| 15 | 2018 | 59 | |
| 16 | 2006 | 54 | |
| 17 | 2010 | 45 | |
| 18 | 2016 | 42 | |
| 19 | 2018 | 41 | |
| 20 | 2005 | 39 |
About Lexin Li
Lexin Li is a scholar working on Statistics and Probability, Molecular Biology, Artificial Intelligence, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 107 papers that have together received 3.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (39 papers), Advanced Neuroimaging Techniques and Applications (15 papers), Statistical Methods and Bayesian Inference (15 papers), Functional Brain Connectivity Studies (14 papers), Tensor decomposition and applications (13 papers), Gene expression and cancer classification (12 papers), Bayesian Methods and Mixture Models (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). The work is most often cited by research in Computational Mathematics (445 citations), Statistics and Probability (1.0k citations), Genetics (647 citations), Cognitive Neuroscience (370 citations) and Computational Mechanics (348 citations). Lexin Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hua Zhou, Hongtu Zhu, Runze Li, Christopher J. Nachtsheim, Xiangrong Yin, Paul J. Hagerman, Randi J. Hagerman, Will Wei Sun, Bing Li and Xuhui Shao. Their work appears in journals such as Journal of the American Statistical Association, Biometrics, Statistica Sinica, Journal of the Royal Statistical Society Series B (Statistical Methodology) and The Annals of 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.