Seungjun Lee

637 total citations
26 papers, 470 citations indexed

About

Seungjun Lee is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Seungjun Lee has authored 26 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 10 papers in Atomic and Molecular Physics, and Optics and 9 papers in Biomedical Engineering. Recurrent topics in Seungjun Lee's work include Magnetic properties of thin films (10 papers), Advanced Memory and Neural Computing (8 papers) and Quantum and electron transport phenomena (7 papers). Seungjun Lee is often cited by papers focused on Magnetic properties of thin films (10 papers), Advanced Memory and Neural Computing (8 papers) and Quantum and electron transport phenomena (7 papers). Seungjun Lee collaborates with scholars based in South Korea, United States and Japan. Seungjun Lee's co-authors include Hyungsoon Shin, Nadine Smith, K. Kirk Shung, Ram Babu Roy, Sora Ahn, Seongil Im, Hyang Woon Lee, Seung-yeon Lee, Min Suk Oh and Jae Hoon Kim and has published in prestigious journals such as Journal of Applied Physics, Journal of Materials Science and IEEE Transactions on Electron Devices.

In The Last Decade

Seungjun Lee

26 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seungjun Lee South Korea 10 234 180 87 72 47 26 470
Maria-Alexandra Pãun Switzerland 12 68 0.3× 294 1.6× 16 0.2× 39 0.5× 23 0.5× 65 468
Adarsh Ganesan United Kingdom 11 335 1.4× 293 1.6× 8 0.1× 278 3.9× 14 0.3× 29 612
P. Venugopalan India 13 462 2.0× 45 0.3× 41 0.5× 42 0.6× 30 0.6× 29 804
James Beeley United Kingdom 12 198 0.8× 89 0.5× 4 0.0× 36 0.5× 15 0.3× 26 313
Sung Hyun Nam South Korea 7 162 0.7× 98 0.5× 6 0.1× 40 0.6× 7 0.1× 16 315
Éric Lebrasseur Japan 12 215 0.9× 229 1.3× 3 0.0× 104 1.4× 11 0.2× 48 447
David C. Garrett United States 12 259 1.1× 92 0.5× 2 0.0× 32 0.4× 7 0.1× 26 502
Sylwester Bargiel France 15 361 1.5× 262 1.5× 3 0.0× 132 1.8× 12 0.3× 65 634
Ivo Leibacher Switzerland 12 688 2.9× 186 1.0× 2 0.0× 78 1.1× 21 0.4× 14 737

Countries citing papers authored by Seungjun Lee

Since Specialization
Citations

This map shows the geographic impact of Seungjun 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 Seungjun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungjun Lee more than expected).

Fields of papers citing papers by Seungjun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seungjun 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 Seungjun Lee. The network helps show where Seungjun Lee may publish in the future.

Co-authorship network of co-authors of Seungjun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Seungjun Lee. A scholar is included among the top collaborators of Seungjun 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 Seungjun Lee. Seungjun 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.
Ahn, Sora, et al.. (2017). Prediction of the Seizure Suppression Effect by Electrical Stimulation via a Computational Modeling Approach. Frontiers in Computational Neuroscience. 11. 39–39. 8 indexed citations
2.
Lee, Seungjun, et al.. (2016). A Survey on the Modeling of Magnetic Tunnel Junctions for Circuit Simulation. Active and Passive Electronic Components. 2016. 1–12. 10 indexed citations
3.
Ahn, Sora, Sang Beom Jun, Hyang Woon Lee, & Seungjun Lee. (2016). Computational modeling of epileptiform activities in medial temporal lobe epilepsy combined with in vitro experiments. Journal of Computational Neuroscience. 41(2). 207–223. 8 indexed citations
4.
Lee, Seungjun, et al.. (2016). Recent Advances in Microwave Imaging for Breast Cancer Detection. International Journal of Biomedical Imaging. 2016. 1–26. 148 indexed citations
5.
Lee, Seungjun, et al.. (2016). In-Place Calibration With Single Measurement in Time-Domain Microwave Breast Imaging. IEEE Antennas and Wireless Propagation Letters. 16. 206–209. 4 indexed citations
6.
Lee, Seungjun, et al.. (2016). Switching Time and Stability Evaluation for Writing Operation of STT-MRAM Crossbar Array. IEEE Transactions on Electron Devices. 63(10). 3914–3921. 6 indexed citations
7.
Lee, Seungjun, et al.. (2015). Calibration with single measurement in microwave imaging system for breast cancer detection. European Conference on Antennas and Propagation. 1–2. 3 indexed citations
8.
Ahn, Sora, et al.. (2013). A New Circuit Model for Spin-Torque Oscillator Including Perpendicular Torque of Magnetic Tunnel Junction. Advances in Condensed Matter Physics. 2013. 1–6. 8 indexed citations
9.
Ahn, Sora, et al.. (2013). Circuit-Level Model of Phase-Locked Spin-Torque Oscillators. Japanese Journal of Applied Physics. 52(4S). 04CM08–04CM08. 1 indexed citations
10.
Ahn, Sora, et al.. (2012). Physics-Based SPICE Model of Spin-Torque Oscillators. Japanese Journal of Applied Physics. 51(4S). 04DM03–04DM03. 3 indexed citations
11.
Kim, Sojeong, Seungjun Lee, & Hyungsoon Shin. (2010). Advanced Macro-Model with Pulse-Width Dependent Switching Characteristic for Spin Transfer Torque Based Magnetic-Tunnel-Junction Elements. Japanese Journal of Applied Physics. 49(4S). 04DM07–04DM07. 3 indexed citations
12.
Lee, Kwang H., et al.. (2010). Advantageous Reverse Recovery Behavior of Pentacene/ZnO Diode. Electrochemical and Solid-State Letters. 13(8). H261–H261. 4 indexed citations
13.
Choi, Jeong-M., et al.. (2008). Controlling the electrical properties of pentacene-based organic inverter by ultraviolet. Synthetic Metals. 158(21-24). 1072–1076. 3 indexed citations
14.
Lee, Seung-yeon, et al.. (2007). The 3-Bit Gray Counter Based on Magnetic-Tunnel-Junction Elements. IEEE Transactions on Magnetics. 43(6). 2677–2679. 24 indexed citations
15.
Oh, Min Suk, Do Kyung Hwang, Kimoon Lee, et al.. (2007). Pentacene and ZnO hybrid channels for complementary thin-film transistor inverters operating at 2V. Journal of Applied Physics. 102(7). 30 indexed citations
16.
Lee, Seungjun, et al.. (2006). Ferroelectric transducer arrays for transdermal insulin delivery. Journal of Materials Science. 41(1). 211–216. 12 indexed citations
17.
Park, Ji Sun, et al.. (2005). Charge-based analytical current model for asymmetric double-gate MOSFETs. Journal of the Korean Physical Society. 47. 2 indexed citations
18.
Smith, Nadine, et al.. (2003). Ultrasound-mediated transdermal transport of insulin in vitro through human skin using novel transducer designs. Ultrasound in Medicine & Biology. 29(2). 311–317. 72 indexed citations
19.
Lee, Seongsoo, Seungjun Lee, & Takayasu Sakurai. (2002). ENERGY-CONSTRAINED VDD HOPPING SCHEME WITH RUN-TIME POWER ESTIMATION FOR LOW-POWER REAL-TIME VLSI SYSTEMS. Journal of Circuits Systems and Computers. 11(6). 601–620. 3 indexed citations
20.
Shin, Hyungsoon & Seungjun Lee. (1999). An 0.1-μm asymmetric halo by large-angle-tilt implant (AHLATI) MOSFET for high performance and reliability. IEEE Transactions on Electron Devices. 46(4). 820–822. 30 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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