Bin Yu
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods and Inference
- Health Informatics top 1%
Papers in
-
- Bayesian Methods and Mixture Models 11
- Machine Learning and Algorithms 11
- Algorithms and Data Compression 10
- Explainable Artificial Intelligence (XAI) 7
- Text and Document Classification Technologies 6
- Data Analysis with R 6
-
- Face and Expression Recognition 6
- Co-authors
- Peter Bühlmann (3 shared papers)Karl Kumbier (3 shared papers)Chandan Singh (5 shared papers)William J. Murdoch (3 shared papers)Reza Abbasi-Asl (3 shared papers)Mark Hansen (1 shared paper)J. Rissanen (3 shared papers)Andrew R. Barron (2 shared papers)
- Journals
- Journal of the American Statistical Association (7 papers)The Annals of Statistics (6 papers)Proceedings of the National Academy of Sciences (5 papers)IEEE Transactions on Information Theory (4 papers)The Annals of Applied Statistics (3 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Bin Yu
81 papers receiving 5.7k citations
Bin Yu's Hit Papers
Peers
Comparison fields: 5 of 203
- Statistics and Probability 1.0k
- Health Informatics 102
- Artificial Intelligence 2.2k
- Computational Mathematics 25
- Astronomy and Astrophysics 560
Countries citing papers authored by Bin Yu
This map shows the geographic impact of Bin Yu'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 Bin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Yu more than expected).
Fields of papers citing papers by Bin Yu
This network shows the impact of papers produced by Bin Yu. 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 Bin Yu. The network helps show where Bin Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Yu, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Definitions, methods, and applications in interpretable machine learning Hit paper breakdown → | 2019 | 1300 |
| 2 | The minimum description length principle in coding and modeling Hit paper breakdown → | 1998 | 658 |
| 3 | Space Weather Modeling Framework: A new tool for the space science community Hit paper breakdown → | 2005 | 584 |
| 4 | Boosting With theL2Loss Hit paper breakdown → | 2003 | 578 |
| 5 | 2001 | 491 | |
| 6 | 2018 | 194 | |
| 7 | 1994 | 174 | |
| 8 | 2012 | 158 | |
| 9 | 2017 | 157 | |
| 10 | 2018 | 143 | |
| 11 | 1995 | 138 | |
| 12 | 2000 | 112 | |
| 13 | 1994 | 104 | |
| 14 | 2013 | 103 | |
| 15 | 1998 | 75 | |
| 16 | Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression | 2010 | 73 |
| 17 | 1992 | 70 | |
| 18 | 2013 | 66 | |
| 19 | 2001 | 65 | |
| 20 | 2006 | 63 |
About Bin Yu
Bin Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability, Molecular Biology and Signal Processing, having authored 89 papers that have together received 6.0k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (11 papers), Machine Learning and Algorithms (11 papers), Algorithms and Data Compression (10 papers), Statistical Methods and Inference (9 papers), Explainable Artificial Intelligence (XAI) (7 papers), Face and Expression Recognition (6 papers), Text and Document Classification Technologies (6 papers) and Data Analysis with R (6 papers). The work is most often cited by research in Statistics and Probability (1.0k citations), Health Informatics (102 citations), Artificial Intelligence (2.2k citations), Computational Mathematics (25 citations) and Astronomy and Astrophysics (560 citations). Bin Yu has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Peter Bühlmann, Karl Kumbier, Chandan Singh, William J. Murdoch, Reza Abbasi-Asl, Mark Hansen, J. Rissanen, Andrew R. Barron, Martin J. Wainwright and Per A. Mykland. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics, Proceedings of the National Academy of Sciences, IEEE Transactions on Information Theory and The Annals of Applied 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.