Seung-Hak Lee
-
- Radiomics and Machine Learning in Medical Imaging 18
- Medical Imaging Techniques and Applications 3
- Advanced Neuroimaging Techniques and Applications 3
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis 3
- Health Informatics top 10%
- Water Science and Technology top 10%
- Adsorption and biosorption for pollutant removal 3
-
- Environmental remediation with nanomaterials 6
- Advanced X-ray and CT Imaging 6
-
- Lung Cancer Diagnosis and Treatment 6
- Co-authors
- Hyunjin ParkHo Yun LeeJong‐Hoon KimJunboum ParkHwan-ho ChoJae‐Won LeeChae-Young LeeEun Sook Ko
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Seung-Hak Lee
34 papers receiving 974 citations
Peers
Comparison fields: 5 of 92
- Radiology, Nuclear Medicine and Imaging 535
- Industrial and Manufacturing Engineering 99
- Hepatology 91
- Health Informatics 15
- Water Science and Technology 149
Countries citing papers authored by Seung-Hak Lee
This map shows the geographic impact of Seung-Hak 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-Hak 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-Hak Lee more than expected).
Fields of papers citing papers by Seung-Hak Lee
This network shows the impact of papers produced by Seung-Hak 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-Hak Lee. The network helps show where Seung-Hak Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seung-Hak 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 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 4 | |
| 6 | 2019 | 38 | |
| 7 | 2018 | 11 | |
| 8 | 2018 | 138 | |
| 9 | 2018 | 21 | |
| 10 | 2017 | 15 | |
| 11 | 2016 | 91 | |
| 12 | 2016 | 11 | |
| 13 | 2015 | 4 | |
| 14 | 2014 | 12 | |
| 15 | Simultaneous Removal of Cd and Cr(VI) in the Subsurface Using Permeable Reactive Barrier Filled with Fe-loaded Zeolite: Soil Box Experiment | 2010 | 1 |
| 16 | Reduction of Nitrate-nigrogen by Zero-valent Iron Adhered in Mesoporous Silicas | 2007 | 0 |
| 17 | A Cluster-based Power-Efficient Routing Protocol for Sensor Networks | 2006 | 2 |
| 18 | 2002 | 0 | |
| 19 | 2002 | 108 | |
| 20 | 2000 | 5 |
About Seung-Hak Lee
Seung-Hak Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Industrial and Manufacturing Engineering, having authored 39 papers that have together received 991 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), Environmental remediation with nanomaterials (6 papers), Lung Cancer Diagnosis and Treatment (6 papers), Advanced X-ray and CT Imaging (6 papers), Medical Imaging Techniques and Applications (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Adsorption and biosorption for pollutant removal (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (535 citations), Industrial and Manufacturing Engineering (99 citations) and Hepatology (91 citations). Seung-Hak Lee has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Hyunjin Park, Ho Yun Lee, Jong‐Hoon Kim, Junboum Park, Hwan-ho Cho, Jae‐Won Lee, Chae-Young Lee, Eun Sook Ko, Insuk Sohn and Seung Joon Choi.
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.