Shie‐Shien Yang
- Statistics and Probability top 1%
- Plant Science
- Finance top 10%
- Management Science and Operations Research top 10%
- Biochemistry top 10%
- Co-authors
- Ruth WeltiWeiqun WangEdward E. CareyXin ZhaoPaul D. KochJ.F. ZAYASPaul I. NelsonZhaohui Su
- Topics
- Advanced Statistical Methods and Models (11 papers)Bayesian Methods and Mixture Models (7 papers)Statistical Distribution Estimation and Applications (5 papers)
- Journals
- Journal of the American Statistical AssociationTechnometricsJournal of Agricultural and Food Chemistry
- Partner nations
- United StatesSaudi ArabiaUnited Kingdom
In The Last Decade
Shie‐Shien Yang
24 papers receiving 538 citations
Peers
Comparison fields: 5 of 101
- Statistics and Probability 292
- Plant Science 117
- Finance 82
- Management Science and Operations Research 81
- Biochemistry 75
Countries citing papers authored by Shie‐Shien Yang
This map shows the geographic impact of Shie‐Shien 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 Shie‐Shien Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shie‐Shien Yang more than expected).
Fields of papers citing papers by Shie‐Shien Yang
This network shows the impact of papers produced by Shie‐Shien 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 Shie‐Shien Yang. The network helps show where Shie‐Shien Yang may publish in the future.
Co-authorship network of co-authors of Shie‐Shien Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Shie‐Shien Yang. A scholar is included among the top collaborators of Shie‐Shien Yang 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 Shie‐Shien Yang. Shie‐Shien Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 159 | |
| 4 | 33 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 24 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 13 | |
| 15 | 5 | |
| 16 | 34 | |
| 17 | 117 | |
| 18 | 45 | |
| 19 | 10 | |
| 20 | 15 |
About Shie‐Shien Yang
Shie‐Shien Yang is a scholar working on Statistics and Probability, Management Science and Operations Research and Numerical Analysis, having authored 24 papers that have together received 601 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (11 papers), Bayesian Methods and Mixture Models (7 papers) and Statistical Distribution Estimation and Applications (5 papers). The work is most often cited by research in Statistics and Probability (292 citations), Biochemistry (75 citations) and Statistics, Probability and Uncertainty (68 citations). Shie‐Shien Yang has collaborated with scholars based in United States, Saudi Arabia and United Kingdom. Frequent co-authors include Ruth Welti, Weiqun Wang, Edward E. Carey, Xin Zhao, Paul D. Koch, J.F. ZAYAS, Paul I. Nelson, Zhaohui Su, Linglin Xie and Ping Ouyang. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Journal of Agricultural and Food Chemistry.
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.