Suk Hwan Lim
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Aerospace Engineering
- Sociology and Political Science
- Co-authors
- Eamonn O’Brien-StrainBing LiuLei ZhangFeng TangHai TaoRamin SamadaniPavel KisilevJerry Liu
- Topics
- Advanced Image and Video Retrieval Techniques (6 papers)Image Processing Techniques and Applications (5 papers)Image Retrieval and Classification Techniques (4 papers)
- Journals
- 2009 IEEE Conference on Computer Vision and Pattern Recognition2022 IEEE International Solid- State Circuits Conference (ISSCC)International Conference on Computational Linguistics
- Partner nations
- United StatesSouth Korea
In The Last Decade
Suk Hwan Lim
16 papers receiving 300 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 162
- Computer Vision and Pattern Recognition 129
- Information Systems 66
- Aerospace Engineering 42
- Sociology and Political Science 30
Countries citing papers authored by Suk Hwan Lim
This map shows the geographic impact of Suk Hwan Lim'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 Suk Hwan Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suk Hwan Lim more than expected).
Fields of papers citing papers by Suk Hwan Lim
This network shows the impact of papers produced by Suk Hwan Lim. 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 Suk Hwan Lim. The network helps show where Suk Hwan Lim may publish in the future.
Co-authorship network of co-authors of Suk Hwan Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Suk Hwan Lim. A scholar is included among the top collaborators of Suk Hwan Lim 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 Suk Hwan Lim. Suk Hwan Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | Extracting and Ranking Product Features in Opinion Documents | 160 |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 78 | |
| 12 | Estimation and Removal of Motion Blur by Capturing Two Images with Different Exposures | 6 |
| 13 | 14 | |
| 14 | 7 | |
| 15 | Detection of Out-Of-Focus Digital Photographs | 7 |
| 16 | Prevalence and Risk Factors of Candida Sepsis in Neonatal Intensive Care Unit | 5 |
About Suk Hwan Lim
Suk Hwan Lim is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Biophysics, having authored 16 papers that have together received 324 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Image Processing Techniques and Applications (5 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (129 citations), Artificial Intelligence (162 citations) and Media Technology (29 citations). Suk Hwan Lim has collaborated with scholars based in United States and South Korea. Frequent co-authors include Eamonn O’Brien-Strain, Bing Liu, Lei Zhang, Feng Tang, Hai Tao, Ramin Samadani, Pavel Kisilev, Jerry Liu, Peng Wu and Doron Shaked. Their work appears in journals such as 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2022 IEEE International Solid- State Circuits Conference (ISSCC) and International Conference on Computational Linguistics.
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.