Jae-Gil Lee

1.2k total citations · 1 hit paper
31 papers, 887 citations indexed

About

Jae-Gil Lee is a scholar working on Condensed Matter Physics, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Jae-Gil Lee has authored 31 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Condensed Matter Physics, 13 papers in Electrical and Electronic Engineering and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Jae-Gil Lee's work include GaN-based semiconductor devices and materials (16 papers), Complex Network Analysis Techniques (12 papers) and Ga2O3 and related materials (9 papers). Jae-Gil Lee is often cited by papers focused on GaN-based semiconductor devices and materials (16 papers), Complex Network Analysis Techniques (12 papers) and Ga2O3 and related materials (9 papers). Jae-Gil Lee collaborates with scholars based in South Korea, United States and Canada. Jae-Gil Lee's co-authors include Minseo Kang, Jungeun Kim, Ho‐Young Cha, Kwang-Seok Seo, Chun-Hyung Cho, Sungsu Lim, Sangwoo Han, Byung Suk Lee, Sejeong Kwon and Kyomin Jung and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Electron Device Letters and Solid-State Electronics.

In The Last Decade

Jae-Gil Lee

30 papers receiving 847 citations

Hit Papers

Geospatial Big Data: Chal... 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jae-Gil Lee South Korea 14 293 271 234 214 177 31 887
James Rowland United States 16 184 0.6× 158 0.6× 51 0.2× 83 0.4× 156 0.9× 60 1.3k
Young‐Seok Kim South Korea 17 91 0.3× 644 2.4× 48 0.2× 768 3.6× 37 0.2× 129 1.7k
Zhide Chen China 16 27 0.1× 112 0.4× 76 0.3× 154 0.7× 56 0.3× 115 814
Wenbin Yu China 19 117 0.4× 321 1.2× 45 0.2× 97 0.5× 22 0.1× 94 1.0k
Gilney Figueira Zebende Brazil 26 225 0.8× 37 0.1× 460 2.0× 67 0.3× 10 0.1× 83 2.3k
Subinay Dasgupta India 12 99 0.3× 31 0.1× 383 1.6× 121 0.6× 84 0.5× 43 859
Xiaocong Zhou China 13 58 0.2× 171 0.6× 19 0.1× 142 0.7× 61 0.3× 72 755
Yiran Chen China 10 53 0.2× 85 0.3× 66 0.3× 67 0.3× 11 0.1× 31 398
Yohei Murakami Japan 15 123 0.4× 480 1.8× 18 0.1× 222 1.0× 19 0.1× 127 1.1k

Countries citing papers authored by Jae-Gil Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jae-Gil Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Gil Lee. A scholar is included among the top collaborators of Jae-Gil Lee 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 Jae-Gil Lee. Jae-Gil Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Doyoung, et al.. (2022). COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies. Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 11971–11981. 2 indexed citations
2.
Lee, Youngjun, et al.. (2022). Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2347–2357. 22 indexed citations
3.
Lee, Jae-Gil, et al.. (2020). On the analysis of fitness change: fitness-popularity dynamic network model with varying fitness. Journal of Statistical Mechanics Theory and Experiment. 2020(4). 43407–43407. 3 indexed citations
4.
Kim, Jungeun, Sungsu Lim, Jae-Gil Lee, & Byung Suk Lee. (2018). LinkBlackHole: Robust Overlapping Community Detection Using Link Embedding. IEEE Transactions on Knowledge and Data Engineering. 31(11). 2138–2150. 20 indexed citations
5.
Lim, Sungsu & Jae-Gil Lee. (2016). Motif-based embedding for graph clustering. Journal of Statistical Mechanics Theory and Experiment. 2016(12). 123401–123401. 11 indexed citations
6.
Kim, Daehoon, Jae-Gil Lee, & Byung Suk Lee. (2016). Topical influence modeling via topic-level interests and interactions on social curation services. 3. 13–24. 5 indexed citations
7.
Lee, Jae-Gil, et al.. (2016). Diode Embedded AlGaN/GaN Heterojuction Field-Effect Transistor. JSTS Journal of Semiconductor Technology and Science. 16(2). 215–220. 1 indexed citations
9.
Kim, Jungeun, Jae-Gil Lee, & Sungsu Lim. (2016). Differential Flattening. ACM Transactions on Intelligent Systems and Technology. 8(2). 1–23. 13 indexed citations
10.
Kim, Jungeun, Minseo Kang, Sungsu Lim, & Jae-Gil Lee. (2015). Triangle counting in networks using a multi-level branching technique. 47–50. 1 indexed citations
11.
Lee, Jae-Gil & Minseo Kang. (2015). Geospatial Big Data: Challenges and Opportunities. Big Data Research. 2(2). 74–81. 275 indexed citations breakdown →
12.
Kim, Jungeun & Jae-Gil Lee. (2015). Community Detection in Multi-Layer Graphs. ACM SIGMOD Record. 44(3). 37–48. 106 indexed citations
13.
Han, Sangwoo, et al.. (2015). AlGaN/GaN Metal–Oxide–Semiconductor Heterojunction Field-Effect Transistor Integrated With Clamp Circuit to Enable Normally-Off Operation. IEEE Electron Device Letters. 36(6). 540–542. 6 indexed citations
14.
Lee, Jae-Gil, et al.. (2015). Parallel community detection on large graphs with MapReduce and GraphChi. Data & Knowledge Engineering. 104. 17–31. 29 indexed citations
15.
Han, Sangwoo, Jae-Gil Lee, Chun-Hyung Cho, & Ho‐Young Cha. (2014). Dynamic on-resistance of normally-off recessed AlGaN/GaN-on-Si metal–oxide–semiconductor heterojunction field-effect transistor. Applied Physics Express. 7(11). 111002–111002. 20 indexed citations
16.
Choi, Shinhyuk, et al.. (2014). Temperature-Dependent Instabilities of DC characteristics in AlGaN/GaN-on-Si Heterojunction Field Effect Transistors. JSTS Journal of Semiconductor Technology and Science. 14(5). 682–687. 4 indexed citations
17.
Choi, Shinhyuk, Jae-Gil Lee, Ho‐Young Cha, & Hyungtak Kim. (2013). Degradation characteristics of high-voltage AlGaN/GaN-on-Si heterostructure FETs under a reverse gate bias stress. Journal of the Korean Physical Society. 63(6). 1208–1212. 2 indexed citations
18.
Choi, Shinhyuk, Jae-Gil Lee, Ho‐Young Cha, & Hyungtak Kim. (2013). Bias-stress-induced trapping effect of high-voltage field-plated AlGaN/GaN-on-Si heterostructure FETs. Journal of the Korean Physical Society. 62(6). 954–958. 4 indexed citations
19.
Lee, Jae-Gil, et al.. (2013). Unidirectional AlGaN/GaN-on-Si HFETs with reverse blocking drain. Applied Physics Express. 7(1). 14101–14101. 22 indexed citations
20.
Lee, Jae-Gil, et al.. (2013). Low Turn-On Voltage AlGaN/GaN-on-Si Rectifier With Gated Ohmic Anode. IEEE Electron Device Letters. 34(2). 214–216. 103 indexed citations

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.

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