Hee‐Seok Oh
- Statistics and Probability top 1%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Yunfei ChenDonghoh KimYongdai KimHosik ChoiThomas C. M. LeeDouglas NychkaYaeji LimDoug Nychka
- Topics
- Image and Signal Denoising Methods (21 papers)Machine Fault Diagnosis Techniques (14 papers)Advanced Statistical Methods and Models (13 papers)
- Journals
- Journal of the American Statistical AssociationIEEE Transactions on Pattern Analysis and Machine IntelligenceTechnometrics
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Hee‐Seok Oh
78 papers receiving 946 citations
Peers
Comparison fields: 5 of 129
- Statistics and Probability 269
- Electrical and Electronic Engineering 190
- Computer Networks and Communications 155
- Artificial Intelligence 142
- Control and Systems Engineering 140
Countries citing papers authored by Hee‐Seok Oh
This map shows the geographic impact of Hee‐Seok Oh'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 Hee‐Seok Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hee‐Seok Oh more than expected).
Fields of papers citing papers by Hee‐Seok Oh
This network shows the impact of papers produced by Hee‐Seok Oh. 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 Hee‐Seok Oh. The network helps show where Hee‐Seok Oh may publish in the future.
Co-authorship network of co-authors of Hee‐Seok Oh
This figure shows the co-authorship network connecting the top 25 collaborators of Hee‐Seok Oh. A scholar is included among the top collaborators of Hee‐Seok Oh 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 Hee‐Seok Oh. Hee‐Seok Oh 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 180 | |
| 16 | 7 | |
| 17 | 24 | |
| 18 | 10 | |
| 19 | 40 | |
| 20 | 3 |
About Hee‐Seok Oh
Hee‐Seok Oh is a scholar working on Statistics and Probability, Signal Processing and Equine, having authored 91 papers that have together received 989 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (21 papers), Machine Fault Diagnosis Techniques (14 papers) and Advanced Statistical Methods and Models (13 papers). The work is most often cited by research in Statistics and Probability (269 citations), Signal Processing (98 citations) and Statistics, Probability and Uncertainty (54 citations). Hee‐Seok Oh has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Yunfei Chen, Donghoh Kim, Yongdai Kim, Hosik Choi, Thomas C. M. Lee, Douglas Nychka, Yaeji Lim, Doug Nychka, Ta‐Hsin Li and Youngjo Lee. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Technometrics.
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.