Ruby C. Weng
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- Face and Expression Recognition 4
- Media Technology top 1%
- Artificial Intelligence top 1%
- Neural Networks and Applications 7
- Bayesian Methods and Mixture Models 4
- Signal Processing top 2%
- Time Series Analysis and Forecasting 2
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models 7
- Statistical Methods and Bayesian Inference 4
- Statistical Distribution Estimation and Applications 4
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- Sports Analytics and Performance 3
- Co-authors
- Chih‐Jen LinTingfan WuHsuan-Tien LinS. Sathiya KeerthiMing‐Wei ChangMichael WoodroofeD. Stephen Coad
- Journals
- Journal of Machine Learning Research (4 papers)Journal of Statistical Planning and Inference (3 papers)Bayesian Analysis (2 papers)
- Partner nations
- TaiwanUnited KingdomUnited States
In The Last Decade
Ruby C. Weng
22 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Computer Vision and Pattern Recognition 1.1k
- Media Technology 387
- Artificial Intelligence 1.3k
- Signal Processing 317
- Statistics and Probability 133
Countries citing papers authored by Ruby C. Weng
This map shows the geographic impact of Ruby C. Weng'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 Ruby C. Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruby C. Weng more than expected).
Fields of papers citing papers by Ruby C. Weng
This network shows the impact of papers produced by Ruby C. Weng. 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 Ruby C. Weng. The network helps show where Ruby C. Weng may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Ruby C. Weng, 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 | 2023 | 0 | |
| 2 | 2018 | 0 | |
| 3 | 2016 | 6 | |
| 4 | 2015 | 3 | |
| 5 | 2012 | 3 | |
| 6 | 2011 | 39 | |
| 7 | 2010 | 12 | |
| 8 | 2008 | 208 | |
| 9 | 2007 | 203 | |
| 10 | 2006 | 109 | |
| 11 | 2005 | 1 | |
| 12 | Probability Estimates for Multi-class Classification by Pairwise Couplingbreakdown → | 2004 | 1124 |
| 13 | A Generalized Bradley-Terry Model: From Group Competition to Individual Skill | 2004 | 11 |
| 14 | 2004 | 14 | |
| 15 | 2004 | 1 | |
| 16 | 2003 | 3 | |
| 17 | ON STEIN'S IDENTITY FOR POSTERIOR NORMALITY | 2003 | 4 |
| 18 | Probability Estimates for Multi-Class Classification by Pairwise Couplingbreakdown → | 2003 | 853 |
| 19 | INTEGRABLE EXPANSIONS FOR POSTERIOR DISTRIBUTIONS FOR MULTIPARAMETER EXPONENTIAL FAMILIES WITH APPLICATIONS TO SEQUENTIAL CONFIDENCE LEVELS | 2000 | 8 |
| 20 | Very weak expansions for sequentially designed experiments. | 1999 | 4 |
About Ruby C. Weng
Ruby C. Weng is a scholar working on Statistics and Probability, Artificial Intelligence, Statistical and Nonlinear Physics, Signal Processing and Finance, having authored 24 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (7 papers), Neural Networks and Applications (7 papers), Statistical Methods and Bayesian Inference (4 papers), Bayesian Methods and Mixture Models (4 papers), Statistical Distribution Estimation and Applications (4 papers), Face and Expression Recognition (4 papers), Sports Analytics and Performance (3 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (387 citations), Artificial Intelligence (1.3k citations), Signal Processing (317 citations) and Statistics and Probability (133 citations). Ruby C. Weng has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Chih‐Jen Lin, Tingfan Wu, Hsuan-Tien Lin, S. Sathiya Keerthi, Ming‐Wei Chang, Michael Woodroofe and D. Stephen Coad. Their work appears in journals such as Journal of Machine Learning Research, Journal of Statistical Planning and Inference, Bayesian Analysis, The American Statistician and Scandinavian 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.