Min-Woo Kwon

768 total citations
55 papers, 607 citations indexed

About

Min-Woo Kwon is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Min-Woo Kwon has authored 55 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Electrical and Electronic Engineering, 15 papers in Cellular and Molecular Neuroscience and 10 papers in Artificial Intelligence. Recurrent topics in Min-Woo Kwon's work include Advanced Memory and Neural Computing (32 papers), Advancements in Semiconductor Devices and Circuit Design (18 papers) and Semiconductor materials and devices (18 papers). Min-Woo Kwon is often cited by papers focused on Advanced Memory and Neural Computing (32 papers), Advancements in Semiconductor Devices and Circuit Design (18 papers) and Semiconductor materials and devices (18 papers). Min-Woo Kwon collaborates with scholars based in South Korea, United States and United Arab Emirates. Min-Woo Kwon's co-authors include Byung‐Gook Park, Hyungjin Kim, Jungjin Park, Sungmin Hwang, Kyungchul Park, Jong‐Ho Lee, Seung Cheol Kim, Byung-Gook Park, Eun-Soo Kim and Sungjun Kim and has published in prestigious journals such as Journal of Applied Physics, Nanoscale and Optics Express.

In The Last Decade

Min-Woo Kwon

52 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min-Woo Kwon South Korea 14 512 203 99 83 59 55 607
Amirali Amirsoleimani Canada 14 619 1.2× 329 1.6× 156 1.6× 109 1.3× 6 0.1× 51 733
Indranil Chakraborty United States 15 680 1.3× 105 0.5× 91 0.9× 202 2.4× 6 0.1× 36 815
Rajkumar Kubendran United States 9 723 1.4× 212 1.0× 101 1.0× 146 1.8× 6 0.1× 26 808
Rawan Naous United States 12 777 1.5× 171 0.8× 110 1.1× 135 1.6× 6 0.1× 21 851
Xiaohua Xu China 7 518 1.0× 199 1.0× 77 0.8× 53 0.6× 6 0.1× 18 656
Morteza Hosseini United States 10 446 0.9× 144 0.7× 170 1.7× 223 2.7× 5 0.1× 19 607
Zhenyu Zhou China 13 396 0.8× 211 1.0× 34 0.3× 65 0.8× 35 0.6× 28 573
René Schüffny Germany 18 927 1.8× 322 1.6× 246 2.5× 118 1.4× 22 0.4× 93 1.0k
Akhil Dodda United States 13 623 1.2× 185 0.9× 52 0.5× 78 0.9× 10 0.2× 14 875
Jun Deguchi Japan 12 477 0.9× 80 0.4× 30 0.3× 97 1.2× 11 0.2× 41 545

Countries citing papers authored by Min-Woo Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Min-Woo Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Woo Kwon. 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 Min-Woo Kwon. The network helps show where Min-Woo Kwon may publish in the future.

Co-authorship network of co-authors of Min-Woo Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Min-Woo Kwon. A scholar is included among the top collaborators of Min-Woo Kwon 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 Min-Woo Kwon. Min-Woo Kwon 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.
Jeong, H.T., et al.. (2025). Development of In-Memory Computing Device Using Positive Feedback Field Effect Transistor Based on NAND Flash Array. IEEE Access. 13. 45449–45457. 1 indexed citations
2.
Kwon, Min-Woo, et al.. (2025). Analysis of the Switching Mechanism of Hafnium Oxide Layer with Nanoporous Structure by RF Sputtering. JSTS Journal of Semiconductor Technology and Science. 25(1). 9–13.
3.
Jeong, H.T. & Min-Woo Kwon. (2025). Analysis of Electrical Characteristics Changes Due to Physical Parameter Variations in Dual-Gate Feedback Field Effect Transistor. JSTS Journal of Semiconductor Technology and Science. 25(1). 1–8. 2 indexed citations
6.
Poornaprakash, B., K. Subramanyam, Min-Woo Kwon, et al.. (2023). Synthesis of diluted magnetic semiconductor ZnS:Cr and ZnS:(Cr+V) nanoparticles for spintronic applications. Materials Science in Semiconductor Processing. 161. 107479–107479. 4 indexed citations
7.
Kwon, Min-Woo, et al.. (2023). A Palladium-Deposited Molybdenum Disulfide-Based Hydrogen Sensor at Room Temperature. Applied Sciences. 13(19). 10594–10594. 3 indexed citations
8.
Kwon, Min-Woo, et al.. (2023). Self-Rectifying Resistive Switching Memory Based on Molybdenum Disulfide for Reduction of Leakage Current in Synapse Arrays. Electronics. 12(22). 4650–4650. 1 indexed citations
10.
Poornaprakash, B., B. Purusottam Reddy, P. Reddy Prasad, et al.. (2023). Synthesis of highly efficient (Cr, Gd) co-doped CdS quantum dots for photocatalytic H2 evolution beneath artificial solar light irradiation. Ceramics International. 50(4). 6120–6127. 11 indexed citations
11.
Kwon, Min-Woo, et al.. (2020). Sensitivity Analysis Based on Neural Network for Optimizing Device Characteristics. IEEE Electron Device Letters. 41(10). 1548–1551. 21 indexed citations
12.
Bae, Jong‐Ho, Min-Woo Kwon, Jae Hwa Seo, et al.. (2019). Characterization of a Capacitorless DRAM Cell for Cryogenic Memory Applications. IEEE Electron Device Letters. 40(10). 1614–1617. 19 indexed citations
13.
Kim, Hyungjin, et al.. (2019). Grain boundary induced short-term memory effect in fully depleted thin-polysilicon devices. Japanese Journal of Applied Physics. 58(10). 101004–101004. 2 indexed citations
14.
Kwon, Min-Woo, et al.. (2019). Polysilicon-Based Synaptic Transistor and Array Structure for Short/Long-Term Memory. Journal of Nanoscience and Nanotechnology. 19(10). 6066–6069. 5 indexed citations
15.
Kwon, Min-Woo, Sungmin Hwang, Kyungchul Park, et al.. (2018). Integrate-and-fire neuron circuit using positive feedback field effect transistor for low power operation. Journal of Applied Physics. 124(15). 48 indexed citations
16.
Hwang, Sungmin, et al.. (2018). System-Level Simulation of Hardware Spiking Neural Network Based on Synaptic Transistors and I&F Neuron Circuits. IEEE Electron Device Letters. 39(9). 1441–1444. 40 indexed citations
17.
Kim, Sungjun, Jia Chen, Ying‐Chen Chen, et al.. (2018). Neuronal dynamics in HfOx/AlOy-based homeothermic synaptic memristors with low-power and homogeneous resistive switching. Nanoscale. 11(1). 237–245. 107 indexed citations
18.
Kim, Young‐Min, Min-Woo Kwon, Kyung‐Chang Ryoo, Seongjae Cho, & Byung‐Gook Park. (2018). Design and Electrical Characterization of 2-T Thyristor RAM With Low Power Consumption. IEEE Electron Device Letters. 39(3). 355–358. 11 indexed citations
19.
Kwon, Min-Woo, Hyungjin Kim, Jungjin Park, & Byung‐Gook Park. (2015). Boolean logic circuit implementaion using multi-input floating-body MOSFET. 1–2. 2 indexed citations
20.
Kim, Seung Cheol, Xiaobin Dong, Min-Woo Kwon, & Eun-Soo Kim. (2013). Fast generation of video holograms of three-dimensional moving objects using a motion compensation-based novel look-up table. Optics Express. 21(9). 11568–11568. 36 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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