Yi‐Hau Chen
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Causal Inference Techniques
- Statistical Distribution Estimation and Applications
- Statistical Methods in Clinical Trials
- Signal Processing top 5%
- Video Coding and Compression Technologies
Papers in
-
- Statistical Methods and Inference 48
- Statistical Methods and Bayesian Inference 34
- Advanced Causal Inference Techniques 17
- Co-authors
- Nilanjan Chatterjee (8 shared papers)Takeshi Emura (4 shared papers)Raymond J. Carroll (6 shared papers)Liang‐Gee Chen (19 shared papers)Chi‐Chung Wen (13 shared papers)Hung Chen (2 shared papers)Norman E. Breslow (1 shared paper)Ching-Yeh Chen (8 shared papers)
- Journals
- Statistics in Medicine (6 papers)Biometrics (5 papers)Journal of the American Statistical Association (4 papers)Statistica Sinica (4 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (4 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yi‐Hau Chen
149 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 170
- Statistics and Probability 777
- Signal Processing 230
- Computer Vision and Pattern Recognition 227
- Statistics, Probability and Uncertainty 68
- Genetics 248
Countries citing papers authored by Yi‐Hau Chen
This map shows the geographic impact of Yi‐Hau Chen'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 Yi‐Hau Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Hau Chen more than expected).
Fields of papers citing papers by Yi‐Hau Chen
This network shows the impact of papers produced by Yi‐Hau Chen. 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 Yi‐Hau Chen. The network helps show where Yi‐Hau Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi‐Hau Chen, 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 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 97 | |
| 2 | 2008 | 91 | |
| 3 | 2006 | 91 | |
| 4 | 2003 | 90 | |
| 5 | 2011 | 71 | |
| 6 | 2009 | 70 | |
| 7 | 2002 | 70 | |
| 8 | 2010 | 65 | |
| 9 | 2000 | 59 | |
| 10 | 1996 | 49 | |
| 11 | 2014 | 49 | |
| 12 | 1998 | 45 | |
| 13 | 2009 | 44 | |
| 14 | 2012 | 44 | |
| 15 | 2018 | 41 | |
| 16 | 2014 | 40 | |
| 17 | 2011 | 36 | |
| 18 | 2011 | 36 | |
| 19 | 2008 | 36 | |
| 20 | 2002 | 35 |
About Yi‐Hau Chen
Yi‐Hau Chen is a scholar working on Statistics and Probability, Molecular Biology, Signal Processing, Computer Vision and Pattern Recognition and Genetics, having authored 157 papers that have together received 2.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (48 papers), Statistical Methods and Bayesian Inference (34 papers), Video Coding and Compression Technologies (20 papers), Advanced Causal Inference Techniques (17 papers), Genetic Associations and Epidemiology (14 papers), Advanced Vision and Imaging (11 papers), Image and Video Quality Assessment (10 papers) and Bayesian Methods and Mixture Models (9 papers). The work is most often cited by research in Statistics and Probability (777 citations), Signal Processing (230 citations), Computer Vision and Pattern Recognition (227 citations), Statistics, Probability and Uncertainty (68 citations) and Genetics (248 citations). Yi‐Hau Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Nilanjan Chatterjee, Takeshi Emura, Raymond J. Carroll, Liang‐Gee Chen, Chi‐Chung Wen, Hung Chen, Norman E. Breslow, Ching-Yeh Chen, Chao-Tsung Huang and Paige Maas. Their work appears in journals such as Statistics in Medicine, Biometrics, Journal of the American Statistical Association, Statistica Sinica and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.