Bok-Suk Shin
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Automotive Engineering top 10%
- Environmental Engineering top 10%
- Ocean Engineering top 10%
- Co-authors
- Reinhard KletteZezhong XuHan WangShenghai YuanKwang-Baek KimEui-Young ChaKyoung‐Won ChoHyun Jun Park
- Topics
- Advanced Vision and Imaging (5 papers)Image and Object Detection Techniques (4 papers)Robotics and Sensor-Based Localization (4 papers)
- Journals
- IEEE Transactions on Image ProcessingPattern RecognitionComputer Vision and Image Understanding
- Partner nations
- New ZealandSingaporeChina
In The Last Decade
Bok-Suk Shin
18 papers receiving 305 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 225
- Aerospace Engineering 106
- Automotive Engineering 78
- Environmental Engineering 72
- Ocean Engineering 53
Countries citing papers authored by Bok-Suk Shin
This map shows the geographic impact of Bok-Suk Shin'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 Bok-Suk Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bok-Suk Shin more than expected).
Fields of papers citing papers by Bok-Suk Shin
This network shows the impact of papers produced by Bok-Suk Shin. 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 Bok-Suk Shin. The network helps show where Bok-Suk Shin may publish in the future.
Co-authorship network of co-authors of Bok-Suk Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Bok-Suk Shin. A scholar is included among the top collaborators of Bok-Suk Shin 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 Bok-Suk Shin. Bok-Suk Shin 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 | 48 | |
| 3 | 5 | |
| 4 | 23 | |
| 5 | 5 | |
| 6 | 33 | |
| 7 | 14 | |
| 8 | 4 | |
| 9 | 70 | |
| 10 | 52 | |
| 11 | 8 | |
| 12 | 28 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 9 | |
| 19 | A Study on Performance Assessment Methods by Using Fuzzy Membership Function and Fuzzy Reasoning | 1 |
About Bok-Suk Shin
Bok-Suk Shin is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Aerospace Engineering, having authored 19 papers that have together received 318 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Image and Object Detection Techniques (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (225 citations), Automotive Engineering (78 citations) and Environmental Engineering (72 citations). Bok-Suk Shin has collaborated with scholars based in New Zealand, Singapore and China. Frequent co-authors include Reinhard Klette, Zezhong Xu, Han Wang, Shenghai Yuan, Kwang-Baek Kim, Eui-Young Cha, Kyoung‐Won Cho, Hyun Jun Park, Zhengping Wang and Jae‐Hyun Cho. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and Computer Vision and Image Understanding.
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.