Seok‐Lyong Lee
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Co-authors
- Sunder Ali KhowajaChin‐Wan ChungDeok‐Hwan KimSeok-Ju ChunBernardo Nugroho YahyaJu-Hong LeeSanghee KimMuhammad Ali
- Topics
- Context-Aware Activity Recognition Systems (13 papers)Image Retrieval and Classification Techniques (12 papers)Advanced Image and Video Retrieval Techniques (12 papers)
- Partner nations
- South KoreaIndonesiaPakistan
In The Last Decade
Seok‐Lyong Lee
42 papers receiving 554 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 297
- Artificial Intelligence 150
- Signal Processing 126
- Computer Networks and Communications 98
- Biomedical Engineering 66
Countries citing papers authored by Seok‐Lyong Lee
This map shows the geographic impact of Seok‐Lyong Lee'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 Seok‐Lyong Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seok‐Lyong Lee more than expected).
Fields of papers citing papers by Seok‐Lyong Lee
This network shows the impact of papers produced by Seok‐Lyong Lee. 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 Seok‐Lyong Lee. The network helps show where Seok‐Lyong Lee may publish in the future.
Co-authorship network of co-authors of Seok‐Lyong Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Seok‐Lyong Lee. A scholar is included among the top collaborators of Seok‐Lyong Lee 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 Seok‐Lyong Lee. Seok‐Lyong Lee 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 | 6 | |
| 5 | 12 | |
| 6 | 9 | |
| 7 | 14 | |
| 8 | 48 | |
| 9 | 11 | |
| 10 | AN EFFECTIVE THRESHOLD BASED MEASUREMENT TECHNIQUE FOR FALL DETECTION USING SMART DEVICES | 6 |
| 11 | 4 | |
| 12 | 16 | |
| 13 | 46 | |
| 14 | 15 | |
| 15 | SOSiM: Shape-based Object Similarity Matching using Shape Feature Descriptors | 0 |
| 16 | 8 | |
| 17 | Content Based Image Retrieval using 8AB Representation of Spatial Relations between Objects | 1 |
| 18 | 0 | |
| 19 | 103 | |
| 20 | 3 |
About Seok‐Lyong Lee
Seok‐Lyong Lee is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Medical Laboratory Technology, having authored 48 papers that have together received 578 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (13 papers), Image Retrieval and Classification Techniques (12 papers) and Advanced Image and Video Retrieval Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (297 citations), Signal Processing (126 citations) and Media Technology (42 citations). Seok‐Lyong Lee has collaborated with scholars based in South Korea, Indonesia and Pakistan. Frequent co-authors include Sunder Ali Khowaja, Chin‐Wan Chung, Deok‐Hwan Kim, Seok-Ju Chun, Bernardo Nugroho Yahya, Ju-Hong Lee, Sanghee Kim, Muhammad Ali, M. Abdullah‐Al‐Wadud and Muhammad A. Hasan. Their work appears in journals such as Expert Systems with Applications, Sensors and Information Sciences.
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.