Seung-Hwan Choi
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Co-authors
- Jong-Hwan KimYe-Hoon KimInwon ParkJi-Hyeong HanEun‐Soo KimYun-Ki KimJang-Myung LeeTaikyeong Jeong
- Topics
- Modular Robots and Swarm Intelligence (8 papers)Robotic Path Planning Algorithms (6 papers)Inertial Sensor and Navigation (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsArtificial Intelligence
- Partner nations
- South KoreaCanadaJapan
In The Last Decade
Seung-Hwan Choi
34 papers receiving 350 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 109
- Computer Vision and Pattern Recognition 87
- Electrical and Electronic Engineering 79
- Control and Systems Engineering 72
- Biomedical Engineering 64
Countries citing papers authored by Seung-Hwan Choi
This map shows the geographic impact of Seung-Hwan 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 Seung-Hwan Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung-Hwan Choi more than expected).
Fields of papers citing papers by Seung-Hwan Choi
This network shows the impact of papers produced by Seung-Hwan 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 Seung-Hwan Choi. The network helps show where Seung-Hwan Choi may publish in the future.
Co-authorship network of co-authors of Seung-Hwan Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Hwan Choi. A scholar is included among the top collaborators of Seung-Hwan 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 Seung-Hwan Choi. Seung-Hwan 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 20 | |
| 10 | 17 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 6 | |
| 14 | 9 | |
| 15 | Performance improvement and height estimation of pedestrian dead-reckoning system using a low cost MEMS sensor | 12 |
| 16 | 2 | |
| 17 | 28 | |
| 18 | 7 | |
| 19 | 19 | |
| 20 | 0 |
About Seung-Hwan Choi
Seung-Hwan Choi is a scholar working on Fluid Flow and Transfer Processes, Computer Vision and Pattern Recognition and Business and International Management, having authored 42 papers that have together received 373 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (8 papers), Robotic Path Planning Algorithms (6 papers) and Inertial Sensor and Navigation (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (87 citations), Computational Theory and Mathematics (59 citations) and Artificial Intelligence (109 citations). Seung-Hwan Choi has collaborated with scholars based in South Korea, Canada and Japan. Frequent co-authors include Jong-Hwan Kim, Ye-Hoon Kim, Inwon Park, Ji-Hyeong Han, Eun‐Soo Kim, Yun-Ki Kim, Jang-Myung Lee, Taikyeong Jeong, Hyunwoo Kim and Mokwon Lee. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sensors.
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.