Lie Wang
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Acoustics and Ultrasonics top 5%
Papers in
-
- Sparse and Compressive Sensing Techniques 9
-
- Statistical Methods and Inference 7
- Statistical Methods and Bayesian Inference 3
- Advanced Statistical Methods and Models 3
- Co-authors
- Tommaso Cai (5 shared papers)Guangwu Xu (3 shared papers)Alexandre Belloni (3 shared papers)Victor Chernozhukov (3 shared papers)Han Liu (1 shared paper)Han Liu (2 shared papers)Tuo Zhao (1 shared paper)Lawrence D. Brown (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (2 papers)Electronic Journal of Statistics (2 papers)Journal of Multivariate Analysis (2 papers)Science China Physics Mechanics and Astronomy (1 paper)Aging (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Lie Wang
20 papers receiving 766 citations
Peers
Comparison fields: 5 of 95
- Statistics and Probability 286
- Acoustics and Ultrasonics 28
- Computational Mechanics 455
- Signal Processing 167
- Computational Mathematics 5
Countries citing papers authored by Lie Wang
This map shows the geographic impact of Lie Wang'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 Lie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lie Wang more than expected).
Fields of papers citing papers by Lie Wang
This network shows the impact of papers produced by Lie Wang. 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 Lie Wang. The network helps show where Lie Wang may publish in the future.
Co-authors
The 22 scholars most cited alongside Lie Wang, 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 | 2010 | 156 | |
| 2 | 2009 | 135 | |
| 3 | 2010 | 113 | |
| 4 | 2013 | 102 | |
| 5 | 2014 | 60 | |
| 6 | 2013 | 48 | |
| 7 | 2011 | 48 | |
| 8 | 2017 | 42 | |
| 9 | 2011 | 39 | |
| 10 | 2008 | 30 | |
| 11 | 2019 | 14 | |
| 12 | 2014 | 9 | |
| 13 | 2018 | 7 | |
| 14 | 2016 | 3 | |
| 15 | 2021 | 3 | |
| 16 | PIVOTAL ESTIMATION OF NONPARAMETRIC FUNCTIONS VIA SQUARE-ROOT LASSO | 2011 | 2 |
| 17 | 2008 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2017 | 1 | |
| 20 | The L[subscript 1] penalized LAD estimator for high dimensional linear regression | 2013 | 1 |
About Lie Wang
Lie Wang is a scholar working on Computational Mechanics, Statistics and Probability, Signal Processing, Artificial Intelligence and Control and Systems Engineering, having authored 20 papers that have together received 815 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (9 papers), Statistical Methods and Inference (7 papers), Blind Source Separation Techniques (5 papers), Control Systems and Identification (3 papers), Statistical Methods and Bayesian Inference (3 papers), Advanced Statistical Methods and Models (3 papers), Image and Signal Denoising Methods (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Statistics and Probability (286 citations), Acoustics and Ultrasonics (28 citations), Computational Mechanics (455 citations), Signal Processing (167 citations) and Computational Mathematics (5 citations). Lie Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Tommaso Cai, Guangwu Xu, Alexandre Belloni, Victor Chernozhukov, Han Liu, Han Liu, Tuo Zhao, Lawrence D. Brown, Michael Levine and Tiejun Tong. Their work appears in journals such as IEEE Transactions on Information Theory, Electronic Journal of Statistics, Journal of Multivariate Analysis, Science China Physics Mechanics and Astronomy and Aging.
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.