Institution: Shanghai University of Finance
Primary Field: International (weighted toward more recent publications)
Scores use coauthorship adjustment: α/n credit per paper, where n = number of authors. α = 2.02: calibrated so average adjusted count equals average raw count (a zero-sum adjustment).
| Period | S (4x) | A (2x) | B (1x) | C (½x) | Total | Percentile |
|---|---|---|---|---|---|---|
| Last 5 Years | 0.00 | 0.00 | 0.50 | 0.87 | 1.38 | 42% |
| Last 10 Years | 0.00 | 2.02 | 0.50 | 1.88 | 4.41 | 68% |
| All Time | 0.00 | 2.02 | 0.50 | 2.89 | 5.42 | 82% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2023 | Correcting sample selection bias with model averaging for consumer demand forecasting | Economic Modeling | C | 5 |
| 2023 | Federal policy announcements and capital reallocation: Insights from inflow and outflow trends in the U.S. | Journal of International Money and Finance | B | 4 |
| 2021 | Social media sentiment, model uncertainty, and volatility forecasting | Economic Modeling | C | 3 |
| 2021 | Forecasting Bitcoin realized volatility by measuring the spillover effect among cryptocurrencies | Economics Letters | C | 3 |
| 2017 | Box Office Buzz: Does Social Media Data Steal the Show from Model Uncertainty When Forecasting for Hollywood? | Review of Economics and Statistics | A | 2 |
| 2017 | Heteroscedasticity-robust model screening: A useful toolkit for model averaging in big data analytics | Economics Letters | C | 1 |
| 2015 | Prediction model averaging estimator | Economics Letters | C | 1 |