Yan Yu
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Finance top 2%
- Credit Risk and Financial Regulations
- Financial Risk and Volatility Modeling
Papers in
-
- Statistical Methods and Inference 13
- Advanced Statistical Methods and Models 7
- Statistical Methods and Bayesian Inference 6
- Finance 12
- Credit Risk and Financial Regulations 8
- Financial Markets and Investment Strategies 3
- Journals
- Journal of the American Statistical Association (5 papers)Journal of Multivariate Analysis (3 papers)Computational Statistics & Data Analysis (2 papers)Poultry Science (1 paper)Journal of Financial and Quantitative Analysis (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Yan Yu
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 128
- Statistics and Probability 573
- Finance 270
- Accounting 254
- General Economics, Econometrics and Finance 88
- Economics and Econometrics 253
Countries citing papers authored by Yan Yu
This map shows the geographic impact of Yan 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 Yan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Yu more than expected).
Fields of papers citing papers by Yan Yu
This network shows the impact of papers produced by Yan 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 Yan Yu. The network helps show where Yan Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 10 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 18 | |
| 7 | Ultra-High Dimensional Single-Index Quantile Regression | 2020 | 6 |
| 8 | 2020 | 2 | |
| 9 | 2018 | 22 | |
| 10 | 2017 | 17 | |
| 11 | 2014 | 8 | |
| 12 | 2014 | 9 | |
| 13 | 2010 | 5 | |
| 14 | 2010 | 9 | |
| 15 | 2009 | 13 | |
| 16 | 2007 | 3 | |
| 17 | A survey on iodine nutrition in 5 groups of target population in China | 2003 | 3 |
| 18 | Networking Issues in Sensor Networks | 2003 | 7 |
| 19 | Combining human intelligence and optimization techniques in power distribution system planning | 2002 | 1 |
| 20 | 1999 | 35 |
About Yan Yu
Yan Yu is a scholar working on Statistics and Probability, Finance, General Economics, Econometrics and Finance, Accounting and Marketing, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Credit Risk and Financial Regulations (8 papers), Advanced Statistical Methods and Models (7 papers), Statistical Methods and Bayesian Inference (6 papers), Monetary Policy and Economic Impact (6 papers), Financial Distress and Bankruptcy Prediction (5 papers), Salmonella and Campylobacter epidemiology (3 papers) and Financial Markets and Investment Strategies (3 papers). The work is most often cited by research in Statistics and Probability (573 citations), Finance (270 citations), Accounting (254 citations), General Economics, Econometrics and Finance (88 citations) and Economics and Econometrics (253 citations). Yan Yu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include David Ruppert, Shaonan Tian, Hui Guo, Keming Yu, Diane Lambert, Robert A. Jarrow, Dong Xue, Jing Yao, Guanrong Chen and Sachin Gupta. Their work appears in journals such as Journal of the American Statistical Association, Journal of Multivariate Analysis, Computational Statistics & Data Analysis, Poultry Science and Journal of Financial and Quantitative Analysis.
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.