Keming Yu
Impact in
- Statistics and Probability top 0.1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Economics and Econometrics top 0.5%
- Energy, Environment, Economic Growth
- Market Dynamics and Volatility
Papers in
-
- Statistical Methods and Inference 67
- Advanced Statistical Methods and Models 39
- Statistical Methods and Bayesian Inference 19
- Statistical Distribution Estimation and Applications 18
Keming Yu
125 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Statistics and Probability 2.2k
- Economics and Econometrics 1.8k
- Finance 557
- Statistics, Probability and Uncertainty 375
- General Economics, Econometrics and Finance 373
Countries citing papers authored by Keming Yu
This map shows the geographic impact of Keming 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 Keming Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keming Yu more than expected).
Fields of papers citing papers by Keming Yu
This network shows the impact of papers produced by Keming 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 Keming Yu. The network helps show where Keming Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keming 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 | 2024 | 2 | |
| 3 | 2023 | 35 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2020 | 7 | |
| 10 | 2018 | 3 | |
| 11 | A novel Bayesian regression model for counts with an application to health data | 2017 | 7 |
| 12 | 2016 | 3 | |
| 13 | 2016 | 7 | |
| 14 | Test for Bayesian nonlinear cointegration in nonparametric ACE transformed model | 2011 | 1 |
| 15 | 2011 | 43 | |
| 16 | 2009 | 55 | |
| 17 | 2009 | 5 | |
| 18 | Justifying adverse actions with new scorecard technologies | 2009 | 1 |
| 19 | 2009 | 23 | |
| 20 | Bayesian Heavy-tailed Stochastic Volatility Model in Finance Analysis Based on MCMC Simulation | 2008 | 0 |
About Keming Yu
Keming Yu is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Finance, Artificial Intelligence and Management Science and Operations Research, having authored 134 papers that have together received 5.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (67 papers), Advanced Statistical Methods and Models (39 papers), Bayesian Methods and Mixture Models (30 papers), Statistical Methods and Bayesian Inference (19 papers), Statistical Distribution Estimation and Applications (18 papers), Financial Risk and Volatility Modeling (18 papers), Control Systems and Identification (12 papers) and Market Dynamics and Volatility (11 papers). The work is most often cited by research in Statistics and Probability (2.2k citations), Economics and Econometrics (1.8k citations), Finance (557 citations), Statistics, Probability and Uncertainty (375 citations) and General Economics, Econometrics and Finance (373 citations). Keming Yu has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include David J. Hand, Rana Moyeed, Huiming Zhu, M. C. Jones, Zudi Lu, Julian Stander, Yawei Guo, Lijun Duan, Rahim Alhamzawi and Jin Zhang. Their work appears in journals such as Journal of Statistical Computation and Simulation, Statistical Modelling, Journal of Multivariate Analysis, Journal of the American Statistical Association and Economic Modelling.
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.