Seung‐Ho Kang
- Statistics and Probability top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Plant Science
- Genetics
- Co-authors
- Sang‐Hee LeeKuinam J. KimChul AhnJung‐Hee ChoJames J. ChenSin‐Ho JungDong Wan ShinSuhee Song
- Topics
- Statistical Methods in Clinical Trials (12 papers)Statistical Methods and Bayesian Inference (8 papers)Plant and animal studies (7 papers)
- Partner nations
- South KoreaUnited StatesMalaysia
In The Last Decade
Seung‐Ho Kang
56 papers receiving 598 citations
Peers
Comparison fields: 5 of 125
- Statistics and Probability 120
- Computer Networks and Communications 108
- Artificial Intelligence 106
- Plant Science 79
- Genetics 75
Countries citing papers authored by Seung‐Ho Kang
This map shows the geographic impact of Seung‐Ho Kang'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 Seung‐Ho Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung‐Ho Kang more than expected).
Fields of papers citing papers by Seung‐Ho Kang
This network shows the impact of papers produced by Seung‐Ho Kang. 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 Seung‐Ho Kang. The network helps show where Seung‐Ho Kang may publish in the future.
Co-authorship network of co-authors of Seung‐Ho Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Seung‐Ho Kang. A scholar is included among the top collaborators of Seung‐Ho Kang 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 Seung‐Ho Kang. Seung‐Ho Kang 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 | 5 | |
| 3 | 4 | |
| 4 | 19 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | Radiocarbon Dating and Old Wood Effect: An Experiment and Archaeological Assessment | 4 |
| 10 | 3 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | A Branch and Bound Algorithm to Find a Routing Tree Having Minimum Wiener Index in Sensor Networks with High Mobile Base Node | 0 |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 13 | |
| 18 | Individual Differences in Urinary Cotinine Levels in Japanese Smokers | 1 |
| 19 | 6 | |
| 20 | 26 |
About Seung‐Ho Kang
Seung‐Ho Kang is a scholar working on Statistics and Probability, Aging and Ecology, Evolution, Behavior and Systematics, having authored 63 papers that have together received 627 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (12 papers), Statistical Methods and Bayesian Inference (8 papers) and Plant and animal studies (7 papers). The work is most often cited by research in Statistics and Probability (120 citations), Ecological Modeling (38 citations) and Aging (9 citations). Seung‐Ho Kang has collaborated with scholars based in South Korea, United States and Malaysia. Frequent co-authors include Sang‐Hee Lee, Kuinam J. Kim, Chul Ahn, Jung‐Hee Cho, James J. Chen, Sin‐Ho Jung, Dong Wan Shin, Suhee Song, Wonju Jeon and Shein‐Chung Chow. Their work appears in journals such as Biometrics, Biochemical and Biophysical Research Communications and Journal of Econometrics.
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.