Sunghyun Choi
- Computer Networks and Communications top 0.1%
- Electrical and Electronic Engineering top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Aerospace Engineering top 5%
- Co-authors
- Kang G. ShinDaji QiaoS. MangoldKwanghun HanIlenia TinnirelloGuido R. HiertzSai Shankar NWook Hyun Кwon
- Topics
- Wireless Networks and Protocols (147 papers)Advanced Wireless Network Optimization (97 papers)Mobile Ad Hoc Networks (74 papers)
- Partner nations
- South KoreaUnited StatesFinland
In The Last Decade
Sunghyun Choi
264 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computer Networks and Communications 5.8k
- Electrical and Electronic Engineering 4.8k
- Computer Vision and Pattern Recognition 389
- Biomedical Engineering 317
- Aerospace Engineering 305
Countries citing papers authored by Sunghyun Choi
This map shows the geographic impact of Sunghyun Choi'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 Sunghyun Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghyun Choi more than expected).
Fields of papers citing papers by Sunghyun Choi
This network shows the impact of papers produced by Sunghyun Choi. 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 Sunghyun Choi. The network helps show where Sunghyun Choi may publish in the future.
Co-authorship network of co-authors of Sunghyun Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Sunghyun Choi. A scholar is included among the top collaborators of Sunghyun Choi 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 Sunghyun Choi. Sunghyun Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 10 | |
| 4 | 31 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 49 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 124 | |
| 13 | 39 | |
| 14 | 3 | |
| 15 | 19 | |
| 16 | 8 | |
| 17 | 5 | |
| 18 | A New Approach for Bayesian Denoising in Images Using an Object Homogeneity Prior | 1 |
| 19 | Priority Toning Strategy for Fast Emergency Notification in IEEE 802.15.4 LR-WPAN | 20 |
| 20 | 1 |
About Sunghyun Choi
Sunghyun Choi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Media Technology, having authored 282 papers that have together received 7.7k indexed citations. Recurring topics across this work include Wireless Networks and Protocols (147 papers), Advanced Wireless Network Optimization (97 papers) and Mobile Ad Hoc Networks (74 papers). The work is most often cited by research in Computer Networks and Communications (5.8k citations), Electrical and Electronic Engineering (4.8k citations) and Signal Processing (300 citations). Sunghyun Choi has collaborated with scholars based in South Korea, United States and Finland. Frequent co-authors include Kang G. Shin, Daji Qiao, S. Mangold, Kwanghun Han, Ilenia Tinnirello, Guido R. Hiertz, Sai Shankar N, Wook Hyun Кwon, Tae Hyun Kim and Dongmyoung Kim. Their work appears in journals such as Proceedings of the IEEE, Langmuir and Brain Research.
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.