Xiaotong Shen
Impact in
- Statistics and Probability top 0.1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Computational Mathematics top 2%
Papers in
-
- Statistical Methods and Inference 52
- Advanced Statistical Methods and Models 12
-
- Face and Expression Recognition 20
- Co-authors
- Wei PanWing Hung WongMarcelo H. AngHsin‐Cheng HuangYunzhang ZhuDaniela RusXiaohong ChenYufeng Liu
- Journals
- Journal of the American Statistical Association (35 papers)The Annals of Statistics (7 papers)Genetic Epidemiology (6 papers)Statistical Analysis and Data Mining The ASA Data Science Journal (5 papers)Biometrika (4 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Xiaotong Shen
218 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Statistics and Probability 1.9k
- Computational Mathematics 69
- Artificial Intelligence 1.7k
- Computer Vision and Pattern Recognition 983
- Automotive Engineering 522
Countries citing papers authored by Xiaotong Shen
This map shows the geographic impact of Xiaotong Shen'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 Xiaotong Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaotong Shen more than expected).
Fields of papers citing papers by Xiaotong Shen
This network shows the impact of papers produced by Xiaotong Shen. 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 Xiaotong Shen. The network helps show where Xiaotong Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaotong Shen, 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 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 6 | |
| 7 | Smooth neighborhood recommender systems | 2019 | 41 |
| 8 | 2018 | 58 | |
| 9 | 2016 | 20 | |
| 10 | Simultaneous pursuit of sparseness and rank structures for matrix decomposition | 2015 | 5 |
| 11 | 2013 | 25 | |
| 12 | 2013 | 7 | |
| 13 | 2012 | 4 | |
| 14 | 2012 | 25 | |
| 15 | Prediction and discovery : AMS-IMS-SIAM Joint Summer Research Conference, Machine and Statistical Learning: Prediction and Discovery, June 25-29, 2006, Snowbird, Utah | 2007 | 4 |
| 16 | Large Margin Semi-supervised Learning | 2007 | 33 |
| 17 | Adaptive model selection and assessment for exponential family models | 2004 | 11 |
| 18 | ON BAHADUR EFFICIENCY AND MAXIMUM LIKELIHOOD ESTIMATION IN GENERAL PARAMETER SPACES | 2001 | 4 |
| 19 | Proceedings of the American Control Conference | 2001 | 12 |
| 20 | ON THE METHOD OF PENALIZATION | 1998 | 16 |
About Xiaotong Shen
Xiaotong Shen is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mathematics and Automotive Engineering, having authored 226 papers that have together received 6.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (52 papers), Gene expression and cancer classification (28 papers), Bioinformatics and Genomic Networks (25 papers), Bayesian Methods and Mixture Models (21 papers), Genetic Associations and Epidemiology (20 papers), Face and Expression Recognition (20 papers), Advanced biosensing and bioanalysis techniques (16 papers) and Advanced Statistical Methods and Models (12 papers). The work is most often cited by research in Statistics and Probability (1.9k citations), Computational Mathematics (69 citations), Artificial Intelligence (1.7k citations), Computer Vision and Pattern Recognition (983 citations) and Automotive Engineering (522 citations). Xiaotong Shen has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Wei Pan, Wing Hung Wong, Marcelo H. Ang, Hsin‐Cheng Huang, Yunzhang Zhu, Daniela Rus, Xiaohong Chen, Yufeng Liu, Haoran Xue and Junhui Wang. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics, Genetic Epidemiology, Statistical Analysis and Data Mining The ASA Data Science Journal and Biometrika.
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.