Sangun Park
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 1%
- Artificial Intelligence
- Statistical and Nonlinear Physics top 10%
- Aquatic Science top 5%
- Co-authors
- N. BalakrishnanDong Wan ShinMurali RaoJohan LimGang ZhengJong Ha LeeSang Min LeeSung Hwoan Cho
- Topics
- Statistical Distribution Estimation and Applications (35 papers)Statistical Methods and Inference (16 papers)Advanced Statistical Methods and Models (15 papers)
- Journals
- Nucleic Acids ResearchJournal of the American Statistical AssociationIEEE Transactions on Information Theory
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Sangun Park
55 papers receiving 694 citations
Peers
Comparison fields: 5 of 92
- Statistics and Probability 507
- Statistics, Probability and Uncertainty 282
- Artificial Intelligence 86
- Statistical and Nonlinear Physics 83
- Aquatic Science 77
Countries citing papers authored by Sangun Park
This map shows the geographic impact of Sangun Park'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 Sangun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangun Park more than expected).
Fields of papers citing papers by Sangun Park
This network shows the impact of papers produced by Sangun Park. 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 Sangun Park. The network helps show where Sangun Park may publish in the future.
Co-authorship network of co-authors of Sangun Park
This figure shows the co-authorship network connecting the top 25 collaborators of Sangun Park. A scholar is included among the top collaborators of Sangun Park 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 Sangun Park. Sangun Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 16 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 16 | |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 12 | |
| 14 | 6 | |
| 15 | 19 | |
| 16 | Rule Acquisition Using Ontology Based on Graph Search | 2 |
| 17 | 1 | |
| 18 | Product Matching through Ontology Mapping in Comparison Shopping | 5 |
| 19 | 2 | |
| 20 | 0 |
About Sangun Park
Sangun Park is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 60 papers that have together received 730 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (35 papers), Statistical Methods and Inference (16 papers) and Advanced Statistical Methods and Models (15 papers). The work is most often cited by research in Statistics and Probability (507 citations), Statistics, Probability and Uncertainty (282 citations) and Aquatic Science (77 citations). Sangun Park has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include N. Balakrishnan, Dong Wan Shin, Murali Rao, Johan Lim, Gang Zheng, Jong Ha Lee, Sang Min Lee, Gang Zheng, Sung Hwoan Cho and Young Soo Lim. Their work appears in journals such as Nucleic Acids Research, Journal of the American Statistical Association and IEEE Transactions on Information Theory.
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.