Jong‐Seok Lee
Impact in
-
- Occupational Health and Safety Research
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
Papers in
-
- Imbalanced Data Classification Techniques 15
- Anomaly Detection Techniques and Applications 10
-
- Electricity Theft Detection Techniques 7
- Co-authors
- Jihyun Ha (5 shared papers)Sigurður Ólafsson (4 shared papers)Dan Zhu (2 shared papers)Pierre Y. Juliën (4 shared papers)Sangyoon Chin (1 shared paper)Jeho Lee (1 shared paper)Chi‐Hyuck Jun (2 shared papers)Haigun Lee (4 shared papers)
- Journals
- Information Sciences (4 papers)Expert Systems with Applications (4 papers)IEEE Access (3 papers)IEEE Transactions on Applied Superconductivity (3 papers)Applied Sciences (3 papers)
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Jong‐Seok Lee
118 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 168
- Radiological and Ultrasound Technology 103
- Artificial Intelligence 471
- Statistics, Probability and Uncertainty 93
- Medical Laboratory Technology 19
- Media Technology 89
Countries citing papers authored by Jong‐Seok Lee
This map shows the geographic impact of Jong‐Seok 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 Jong‐Seok Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong‐Seok Lee more than expected).
Fields of papers citing papers by Jong‐Seok Lee
This network shows the impact of papers produced by Jong‐Seok 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 Jong‐Seok Lee. The network helps show where Jong‐Seok Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jong‐Seok 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
Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 151 | |
| 2 | 2006 | 107 | |
| 3 | 2016 | 97 | |
| 4 | 2006 | 75 | |
| 5 | 2011 | 74 | |
| 6 | 2014 | 59 | |
| 7 | 2021 | 52 | |
| 8 | 2019 | 49 | |
| 9 | 2013 | 47 | |
| 10 | 2015 | 42 | |
| 11 | 2018 | 40 | |
| 12 | 2017 | 37 | |
| 13 | 2016 | 37 | |
| 14 | 2008 | 34 | |
| 15 | 2016 | 32 | |
| 16 | 2010 | 30 | |
| 17 | 2016 | 29 | |
| 18 | 2013 | 29 | |
| 19 | 2009 | 27 | |
| 20 | 2017 | 26 |
About Jong‐Seok Lee
Jong‐Seok Lee is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, Control and Systems Engineering and Water Science and Technology, having authored 133 papers that have together received 1.7k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (15 papers), Anomaly Detection Techniques and Applications (10 papers), Hydrology and Watershed Management Studies (9 papers), Electricity Theft Detection Techniques (7 papers), Hydrology and Sediment Transport Processes (7 papers), Real-time simulation and control systems (6 papers), Flood Risk Assessment and Management (6 papers) and Recommender Systems and Techniques (6 papers). The work is most often cited by research in Radiological and Ultrasound Technology (103 citations), Artificial Intelligence (471 citations), Statistics, Probability and Uncertainty (93 citations), Medical Laboratory Technology (19 citations) and Media Technology (89 citations). Jong‐Seok Lee has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Jihyun Ha, Sigurður Ólafsson, Dan Zhu, Pierre Y. Juliën, Sangyoon Chin, Jeho Lee, Chi‐Hyuck Jun, Haigun Lee, Kyongsu Yi and Young-Gyun Kim. Their work appears in journals such as Information Sciences, Expert Systems with Applications, IEEE Access, IEEE Transactions on Applied Superconductivity and Applied 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.