Seung‐Ik Lee
- Computational Mathematics top 5%
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- Network Security and Intrusion Detection 7
- Caching and Content Delivery 5
- Peer-to-Peer Network Technologies 4
- Software-Defined Networks and 5G 4
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 11
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- Advanced Neural Network Applications 12
- Video Surveillance and Tracking Methods 7
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- Artificial Immune Systems Applications 5
Seung‐Ik Lee
49 papers receiving 609 citations
Peers
Comparison fields: 5 of 70
- Computational Mathematics 40
- Computer Networks and Communications 308
- Artificial Intelligence 381
- Computer Vision and Pattern Recognition 219
- Signal Processing 33
Countries citing papers authored by Seung‐Ik Lee
This map shows the geographic impact of Seung‐Ik 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 Seung‐Ik Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung‐Ik Lee more than expected).
Fields of papers citing papers by Seung‐Ik Lee
This network shows the impact of papers produced by Seung‐Ik 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 Seung‐Ik Lee. The network helps show where Seung‐Ik Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seung‐Ik Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 25 | |
| 5 | 2021 | 16 | |
| 6 | 2020 | 0 | |
| 7 | 2019 | 3 | |
| 8 | 2018 | 5 | |
| 9 | 2017 | 52 | |
| 10 | 2015 | 15 | |
| 11 | A multi-domain service composition platform | 2013 | 1 |
| 12 | 2012 | 1 | |
| 13 | Robust Image Watermarking Method Using Discrete Cosine Decomposition and Just Noticeable Distortion | 2008 | 2 |
| 14 | 2007 | 8 | |
| 15 | Moving Object Segmentation Using Adaptive Double Thresholding in Surveillance System | 2004 | 1 |
| 16 | Efficient Moving Object Segmentation Using Adaptive Thresholding | 2003 | 2 |
| 17 | 2002 | 4 | |
| 18 | Pituitary adenomas: early postoperative MR imaging after transsphenoidal resection. | 2001 | 47 |
| 19 | DENTAL MANAGEMENT OF THE PATIENT WITH BILIARY ATRESIA : A CASE REPORT | 2000 | 0 |
| 20 | A Study on Electrochemical Reduction of CO₂ by using the Perovskite Electrode | 1998 | 0 |
About Seung‐Ik Lee
Seung‐Ik Lee is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 57 papers that have together received 631 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Anomaly Detection Techniques and Applications (11 papers), Network Security and Intrusion Detection (7 papers), Video Surveillance and Tracking Methods (7 papers), Caching and Content Delivery (5 papers), Artificial Immune Systems Applications (5 papers), Peer-to-Peer Network Technologies (4 papers) and Software-Defined Networks and 5G (4 papers). The work is most often cited by research in Computational Mathematics (40 citations), Computer Networks and Communications (308 citations) and Artificial Intelligence (381 citations). Seung‐Ik Lee has collaborated with scholars based in South Korea, Yemen and United Arab Emirates. Frequent co-authors include Muhammad Zaigham Zaheer, Marcella Astrid, Arif Mahmood, Muhammad Haris Khan, Fisher Yu, Mattia Segù, Myung-Ki Shin, Jin Ha Lee, Shin‐Gak Kang and Beom-Su Seo.
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.