Jae-Gil Lee
- Condensed Matter Physics top 5%
- GaN-based semiconductor devices and materials 16
-
- Complex Network Analysis Techniques 12
- Opinion Dynamics and Social Influence 3
- Transportation top 5%
-
- Ga2O3 and related materials 9
-
- Semiconductor materials and devices 9
- Silicon Carbide Semiconductor Technologies 8
-
- Advanced Clustering Algorithms Research 7
-
- Peer-to-Peer Network Technologies 3
- Co-authors
- Minseo KangJungeun KimHo‐Young ChaKwang-Seok SeoSungsu LimChun-Hyung ChoSangwoo HanByung Suk Lee
- Cited by
- Condensed Matter PhysicsStatistical and Nonlinear PhysicsGeography, Planning and Development
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Electron Device Letters (4 papers)Solid-State Electronics (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jae-Gil Lee
30 papers receiving 847 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Condensed Matter Physics 293
- Statistical and Nonlinear Physics 234
- Geography, Planning and Development 66
- Transportation 66
- Electronic, Optical and Magnetic Materials 177
Countries citing papers authored by Jae-Gil Lee
This map shows the geographic impact of Jae-Gil 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 Jae-Gil Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae-Gil Lee more than expected).
Fields of papers citing papers by Jae-Gil Lee
This network shows the impact of papers produced by Jae-Gil 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 Jae-Gil Lee. The network helps show where Jae-Gil Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jae-Gil 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 | 2022 | 22 | |
| 2 | 2020 | 3 | |
| 3 | 2019 | 4 | |
| 4 | 2018 | 20 | |
| 5 | 2018 | 9 | |
| 6 | 2016 | 11 | |
| 7 | 2016 | 5 | |
| 8 | 2016 | 1 | |
| 9 | 2016 | 34 | |
| 10 | 2015 | 1 | |
| 11 | Geospatial Big Data: Challenges and Opportunitiesbreakdown → | 2015 | 275 |
| 12 | 2015 | 12 | |
| 13 | 2015 | 106 | |
| 14 | 2015 | 10 | |
| 15 | 2014 | 20 | |
| 16 | 2013 | 2 | |
| 17 | 2013 | 22 | |
| 18 | 2013 | 4 | |
| 19 | 2013 | 103 | |
| 20 | 2013 | 21 |
About Jae-Gil Lee
Jae-Gil Lee is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Electronic, Optical and Magnetic Materials, having authored 31 papers that have together received 887 indexed citations. Recurring topics across this work include GaN-based semiconductor devices and materials (16 papers), Complex Network Analysis Techniques (12 papers), Ga2O3 and related materials (9 papers), Semiconductor materials and devices (9 papers), Silicon Carbide Semiconductor Technologies (8 papers), Advanced Clustering Algorithms Research (7 papers), Peer-to-Peer Network Technologies (3 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Condensed Matter Physics (293 citations), Statistical and Nonlinear Physics (234 citations) and Geography, Planning and Development (66 citations). Jae-Gil Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Minseo Kang, Jungeun Kim, Ho‐Young Cha, Kwang-Seok Seo, Sungsu Lim, Chun-Hyung Cho, Sangwoo Han, Byung Suk Lee, Sejeong Kwon and Kyomin Jung. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Electron Device Letters and Solid-State Electronics.
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.