Chii-Ruey Hwang
- Statistics and Probability top 0.5%
- Artificial Intelligence top 5%
- Mathematical Physics top 5%
- Statistical and Nonlinear Physics top 5%
- Finance top 5%
- Co-authors
- Stuart GemanShuenn‐Jyi SheuTzuu-Shuh ChiangArnoldo FrigessiLaurent YounèsTing‐Li ChenFushing HsiehShuchun Chen
- Topics
- Markov Chains and Monte Carlo Methods (16 papers)Stochastic processes and statistical mechanics (14 papers)Stochastic processes and financial applications (9 papers)
- Journals
- PLoS ONEJournal of the Royal Statistical Society Series B (Statistical Methodology)The Annals of Statistics
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Chii-Ruey Hwang
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Statistics and Probability 506
- Artificial Intelligence 471
- Mathematical Physics 205
- Statistical and Nonlinear Physics 172
- Finance 148
Countries citing papers authored by Chii-Ruey Hwang
This map shows the geographic impact of Chii-Ruey Hwang'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 Chii-Ruey Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chii-Ruey Hwang more than expected).
Fields of papers citing papers by Chii-Ruey Hwang
This network shows the impact of papers produced by Chii-Ruey Hwang. 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 Chii-Ruey Hwang. The network helps show where Chii-Ruey Hwang may publish in the future.
Co-authorship network of co-authors of Chii-Ruey Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Chii-Ruey Hwang. A scholar is included among the top collaborators of Chii-Ruey Hwang 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 Chii-Ruey Hwang. Chii-Ruey Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 14 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 22 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 62 | |
| 15 | 54 | |
| 16 | 23 | |
| 17 | 195 | |
| 18 | 18 | |
| 19 | 0 | |
| 20 | 91 |
About Chii-Ruey Hwang
Chii-Ruey Hwang is a scholar working on Mathematical Physics, Statistics and Probability and Computational Mathematics, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (16 papers), Stochastic processes and statistical mechanics (14 papers) and Stochastic processes and financial applications (9 papers). The work is most often cited by research in Statistics and Probability (506 citations), Mathematical Physics (205 citations) and Artificial Intelligence (471 citations). Chii-Ruey Hwang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Stuart Geman, Shuenn‐Jyi Sheu, Tzuu-Shuh Chiang, Arnoldo Frigessi, Laurent Younès, Ting‐Li Chen, Fushing Hsieh, Shuchun Chen, Krishna B. Athreya and Hui-Hsiung Kuo. Their work appears in journals such as PLoS ONE, Journal of the Royal Statistical Society Series B (Statistical Methodology) and The Annals of Statistics.
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.