Peide Shi
- Statistics and Probability top 0.5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Management Science and Operations Research top 10%
- Statistics, Probability and Uncertainty top 5%
- Topics
- Statistical Methods and Inference (20 papers)Advanced Statistical Methods and Models (8 papers)Bayesian Methods and Mixture Models (4 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- Journal of the American Statistical AssociationJournal of the Royal Statistical Society Series B (Statistical Methodology)Journal of Multivariate Analysis
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Peide Shi
22 papers receiving 652 citations
Peers
Comparison fields: 5 of 92
- Statistics and Probability 497
- Artificial Intelligence 145
- Control and Systems Engineering 96
- Management Science and Operations Research 79
- Statistics, Probability and Uncertainty 63
Countries citing papers authored by Peide Shi
This map shows the geographic impact of Peide Shi'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 Peide Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peide Shi more than expected).
Fields of papers citing papers by Peide Shi
This network shows the impact of papers produced by Peide Shi. 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 Peide Shi. The network helps show where Peide Shi may publish in the future.
Co-authorship network of co-authors of Peide Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Peide Shi. A scholar is included among the top collaborators of Peide Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peide Shi. Peide Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 61 | |
| 3 | 2 | |
| 4 | 89 | |
| 5 | DIMENSION REDUCTION BASED ON CANONICAL CORRELATION | 48 |
| 6 | 1 | |
| 7 | 90 | |
| 8 | M-TYPE SMOOTHING SPLINES IN NONPARAMETRIC AND SEMIPARAMETRIC REGRESSION MODELS | 22 |
| 9 | 123 | |
| 10 | 2 | |
| 11 | AUTOMATIC SELECTION OF PARAMETERS IN SPLINE REGRESSION VIA KULLBACK-LEIBLER INFORMATION | 3 |
| 12 | Optimal convergence rates of nonparametric conditional quantiles in dependent cases | 1 |
| 13 | Rates of convergence of M-estimators for partly linear models involving time series | 0 |
| 14 | 1 | |
| 15 | 22 | |
| 16 | 15 | |
| 17 | ON B-SPLINE M-ESTIMATORS IN A SEMIPARAMETRIC REGRESSION MODEL | 1 |
| 18 | 109 | |
| 19 | 1 | |
| 20 | 0 |
About Peide Shi
Peide Shi is a scholar working on Statistics and Probability, Numerical Analysis and Statistics, Probability and Uncertainty, having authored 25 papers that have together received 690 indexed citations. Recurring topics across this work include Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (8 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Statistics and Probability (497 citations), Statistics, Probability and Uncertainty (63 citations) and Management Science and Operations Research (79 citations). Peide Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xuming He, Chih‐Ling Tsai, Xuming He, P. A. Naik, Wing K. Fung, Jiti Gao, Guoying Li, Liping Li, Chenlei Leng and Xueren Wang. Their work appears in journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of Multivariate 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.