Lan Wang
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- Advanced Causal Inference Techniques
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models
Papers in
-
- Statistical Methods and Inference 38
- Statistical Methods and Bayesian Inference 19
- Advanced Statistical Methods and Models 14
- Statistical Methods in Clinical Trials 9
- Advanced Causal Inference Techniques 8
- Statistical Distribution Estimation and Applications 4
- Co-authors
- Runze Li (6 shared papers)Huixia Wang (1 shared paper)Ben Sherwood (4 shared papers)Xuming He (3 shared papers)Annie Qu (2 shared papers)Hyokyoung G. Hong (2 shared papers)Jianhui Zhou (1 shared paper)Xiao‐Hua Zhou (4 shared papers)
- Journals
- Journal of the American Statistical Association (10 papers)Biometrics (7 papers)The Annals of Statistics (5 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (3 papers)Canadian Journal of Statistics (2 papers)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Lan Wang
58 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 150
- Statistics and Probability 1.1k
- Artificial Intelligence 358
- Statistics, Probability and Uncertainty 73
- Computational Mathematics 5
- Finance 70
Countries citing papers authored by Lan Wang
This map shows the geographic impact of Lan 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 Lan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wang more than expected).
Fields of papers citing papers by Lan Wang
This network shows the impact of papers produced by Lan 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 Lan Wang. The network helps show where Lan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan 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
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 185 | |
| 2 | 2009 | 181 | |
| 3 | 2011 | 128 | |
| 4 | 2015 | 109 | |
| 5 | 2015 | 89 | |
| 6 | 2010 | 66 | |
| 7 | 2016 | 59 | |
| 8 | 2015 | 59 | |
| 9 | 2008 | 57 | |
| 10 | 2009 | 55 | |
| 11 | 2013 | 53 | |
| 12 | 2008 | 50 | |
| 13 | 2021 | 33 | |
| 14 | 2020 | 32 | |
| 15 | 2008 | 28 | |
| 16 | Sparse concordance-assisted learning for optimal treatment decision. | 2018 | 24 |
| 17 | 2007 | 20 | |
| 18 | 2015 | 19 | |
| 19 | 2018 | 18 | |
| 20 | 2013 | 16 |
About Lan Wang
Lan Wang is a scholar working on Statistics and Probability, Management Science and Operations Research, Artificial Intelligence, Economics and Econometrics and Numerical Analysis, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (38 papers), Statistical Methods and Bayesian Inference (19 papers), Advanced Statistical Methods and Models (14 papers), Statistical Methods in Clinical Trials (9 papers), Advanced Causal Inference Techniques (8 papers), Bayesian Methods and Mixture Models (5 papers), Statistical Distribution Estimation and Applications (4 papers) and Numerical methods for differential equations (4 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Artificial Intelligence (358 citations), Statistics, Probability and Uncertainty (73 citations), Computational Mathematics (5 citations) and Finance (70 citations). Lan Wang has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Runze Li, Huixia Wang, Ben Sherwood, Xuming He, Annie Qu, Hyokyoung G. Hong, Jianhui Zhou, Xiao‐Hua Zhou, Michael G. Akritas and Ingrid Van Keilegom. Their work appears in journals such as Journal of the American Statistical Association, Biometrics, The Annals of Statistics, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Canadian Journal 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.