Yuhong Yang
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
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- Forecasting Techniques and Applications
Papers in
-
- Statistical Methods and Inference 57
- Advanced Statistical Methods and Models 20
- Statistical Methods and Bayesian Inference 15
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- Forecasting Techniques and Applications 8
- Co-authors
- Andrew R. BarronZhang Yong-liJie DingZheng YuanHui ZouVahid TarokhJean D. OpsomerYuedong Wang
- Journals
- Journal of the American Statistical Association (9 papers)Statistica Sinica (8 papers)IEEE Transactions on Information Theory (6 papers)The Annals of Statistics (5 papers)Econometric Theory (5 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Yuhong Yang
117 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 202
- Statistics and Probability 1.5k
- Management Science and Operations Research 611
- Statistics, Probability and Uncertainty 243
- Artificial Intelligence 1.0k
- General Economics, Econometrics and Finance 272
Countries citing papers authored by Yuhong Yang
This map shows the geographic impact of Yuhong Yang'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 Yuhong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhong Yang more than expected).
Fields of papers citing papers by Yuhong Yang
This network shows the impact of papers produced by Yuhong Yang. 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 Yuhong Yang. The network helps show where Yuhong Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuhong Yang, 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 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 53 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 16 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 6 | |
| 12 | 2017 | 3 | |
| 13 | Kernel estimation and model combination in a bandit problem with covariates | 2016 | 7 |
| 14 | Synthesis of Near-Infrared Fluorescence Probe Reagents for Site-Specific Labeling of Proteins | 2016 | 1 |
| 15 | 2016 | 5 | |
| 16 | The states on research and the developing foreground of self-compacting concrete | 2007 | 1 |
| 17 | 2004 | 12 | |
| 18 | REGRESSION WITH MULTIPLE CANDIDATE MODELS: SELECTING OR MIXING? | 1999 | 90 |
| 19 | Adaptive estimation in pattern recognition by combining different procedures | 1998 | 12 |
| 20 | MODEL SELECTION FOR NONPARAMETRIC REGRESSION | 1997 | 46 |
About Yuhong Yang
Yuhong Yang is a scholar working on Statistics and Probability, Management Science and Operations Research, Artificial Intelligence, Finance and General Economics, Econometrics and Finance, having authored 124 papers that have together received 3.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (57 papers), Advanced Statistical Methods and Models (20 papers), Statistical Methods and Bayesian Inference (15 papers), Control Systems and Identification (14 papers), Machine Learning and Algorithms (14 papers), Bayesian Methods and Mixture Models (12 papers), Neural Networks and Applications (8 papers) and Forecasting Techniques and Applications (8 papers). The work is most often cited by research in Statistics and Probability (1.5k citations), Management Science and Operations Research (611 citations), Statistics, Probability and Uncertainty (243 citations), Artificial Intelligence (1.0k citations) and General Economics, Econometrics and Finance (272 citations). Yuhong Yang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Andrew R. Barron, Zhang Yong-li, Jie Ding, Zheng Yuan, Hui Zou, Vahid Tarokh, Jean D. Opsomer, Yuedong Wang, Davide Ferrari and Craig A. Rolling. Their work appears in journals such as Journal of the American Statistical Association, Statistica Sinica, IEEE Transactions on Information Theory, The Annals of Statistics and Econometric Theory.
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.