Woo Young Choi

5.7k total citations · 2 hit papers
208 papers, 4.4k citations indexed

About

Woo Young Choi is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Woo Young Choi has authored 208 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 197 papers in Electrical and Electronic Engineering, 37 papers in Biomedical Engineering and 34 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Woo Young Choi's work include Semiconductor materials and devices (120 papers), Advancements in Semiconductor Devices and Circuit Design (99 papers) and Ferroelectric and Negative Capacitance Devices (57 papers). Woo Young Choi is often cited by papers focused on Semiconductor materials and devices (120 papers), Advancements in Semiconductor Devices and Circuit Design (99 papers) and Ferroelectric and Negative Capacitance Devices (57 papers). Woo Young Choi collaborates with scholars based in South Korea, United States and Japan. Woo Young Choi's co-authors include Byung‐Gook Park, Tsu‐Jae King Liu, Jong Duk Lee, Woojun Lee, Sang Wan Kim, Min Jin Lee, Jae Young Song, Jang Hyun Kim, Hyunkook Lee and Yong Jun Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and ACS Nano.

In The Last Decade

Woo Young Choi

184 papers receiving 4.2k citations

Hit Papers

Tunneling Field-Effect Tr... 2007 2026 2013 2019 2007 2010 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Woo Young Choi South Korea 26 4.3k 1.0k 318 298 79 208 4.4k
Sang‐Gug Lee South Korea 33 3.8k 0.9× 1.6k 1.6× 313 1.0× 230 0.8× 125 1.6× 302 4.2k
Felice Crupi Italy 31 3.2k 0.8× 835 0.8× 455 1.4× 263 0.9× 26 0.3× 222 3.5k
Benjamin J. Blalock United States 36 5.0k 1.2× 842 0.8× 168 0.5× 127 0.4× 40 0.5× 205 5.3k
P.K. Ko United States 35 4.6k 1.1× 550 0.5× 308 1.0× 391 1.3× 31 0.4× 176 4.7k
Jing Wan China 24 1.5k 0.4× 471 0.5× 144 0.5× 575 1.9× 31 0.4× 146 1.9k
Yangyuan Wang China 32 3.4k 0.8× 815 0.8× 218 0.7× 321 1.1× 22 0.3× 259 3.7k
Corrado Carta Germany 22 2.0k 0.5× 541 0.5× 165 0.5× 162 0.5× 137 1.7× 239 2.1k
Hiroki Ishikuro Japan 22 2.1k 0.5× 697 0.7× 457 1.4× 368 1.2× 47 0.6× 181 2.2k
Amir Hosseini United States 32 2.5k 0.6× 1.0k 1.0× 1.5k 4.6× 156 0.5× 161 2.0× 118 2.9k
Boxun Li China 31 2.0k 0.5× 918 0.9× 455 1.4× 103 0.3× 93 1.2× 62 2.5k

Countries citing papers authored by Woo Young Choi

Since Specialization
Citations

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

Fields of papers citing papers by Woo Young Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo Young Choi. 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 Woo Young Choi. The network helps show where Woo Young Choi may publish in the future.

Co-authorship network of co-authors of Woo Young Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Woo Young Choi. A scholar is included among the top collaborators of Woo Young Choi 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 Woo Young Choi. Woo Young Choi 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, Yeonwoo, et al.. (2025). Frame-Unit Operating Neuron Circuits for Hardware Recurrent Spiking Neural Networks. IEEE Transactions on Electron Devices. 72(4). 1795–1801.
2.
Kim, Hong Jip, et al.. (2025). Implementation of ultra-low-power neural networks on quantized and pruned RRAM crossbar arrays. Materials Horizons. 12(19). 8059–8071. 1 indexed citations
3.
Kim, Sangwan, et al.. (2025). One-Ferroelectric-Tunnel-FET-Based Reconfigurable Logic Gates. IEEE Transactions on Electron Devices. 72(6). 3302–3306.
4.
7.
Park, Jong-Hyuk, Sungjoon Kim, & Woo Young Choi. (2024). Compensated Current Mirror Neuron Circuits for Linear Charge Integration with Ultralow Static Power in Spiking Neural Networks. Advanced Intelligent Systems. 7(2). 1 indexed citations
8.
Kim, Jangsaeng, Wonjun Shin, Soochang Lee, et al.. (2024). Demonstration of In‐Memory Biosignal Analysis: Novel High‐Density and Low‐Power 3D Flash Memory Array for Arrhythmia Detection. Advanced Science. 11(26). e2308460–e2308460. 15 indexed citations
9.
Kim, Jangsaeng, Minkyu Park, Ryun‐Han Koo, et al.. (2024). Vertical AND-Type Flash TFT Array Capable of Accurate Vector-Matrix Multiplication Operations for Hardware Neural Networks. IEEE Electron Device Letters. 45(7). 1385–1388. 2 indexed citations
10.
Kim, Hyungjin, et al.. (2024). Overshoot‐Suppressed Memristor Array with AlN Oxygen Barrier for Low‐Power Operation in the Intelligent Neuromorphic Systems. SHILAP Revista de lepidopterología. 6(8). 11 indexed citations
11.
Shin, Wonjun, Seongbin Hong, Yujeong Jeong, et al.. (2023). A novel pathway to construct gas concentration prediction model in real-world applications: Data augmentation; fast prediction; and interpolation and extrapolation. Sensors and Actuators B Chemical. 382. 133533–133533. 6 indexed citations
12.
Kim, Jangsaeng, et al.. (2023). Hardware-Based Noisy Deep Q-Networks Using Low-Frequency Noise of Synaptic Devices for Efficient Exploration. IEEE Electron Device Letters. 44(9). 1571–1574. 7 indexed citations
13.
Park, Minkyu, et al.. (2023). Accurate SPICE Model for Cells With Tube-Type Poly-Si Channel in Cell Strings of Vertical NAND Flash Memory. IEEE Transactions on Electron Devices. 70(10). 5469–5474. 2 indexed citations
14.
Choi, Woo Young, et al.. (2023). Logic‐Compatible Charge‐Trapping Tunnel Field Effect Transistors for Low‐Power, High‐Accuracy, and Large‐Scale Neuromorphic Systems. SHILAP Revista de lepidopterología. 5(11). 1 indexed citations
15.
Kim, Sungjoon, et al.. (2022). Fabrication and characterization of silicon nano-tip memristor for low-power neuromorphic application. AIP Advances. 12(12). 1 indexed citations
16.
Park, Minkyu, et al.. (2022). String Current Compensation Method in VNAND Flash for Hardware-Based BNNs. IEEE Transactions on Electron Devices. 69(12). 6717–6721.
17.
Choi, Woo Young, et al.. (2020). Tri-State Nanoelectromechanical Memory Switches for the Implementation of a High-Impedance State. IEEE Access. 8. 202006–202012. 9 indexed citations
18.
Kim, Younghyun, et al.. (2019). Influence of Emitter Width on the Performance of 975-nm (In,Ga)(As,P)/(Al,Ga)As High-power Laser Diodes. Current Optics and Photonics. 3(5). 445–450. 1 indexed citations
19.
Lee, Jangwoo & Woo Young Choi. (2017). Triple-gate Tunnel FETs Encapsulated with an Epitaxial Layer for High Current Drivability. JSTS Journal of Semiconductor Technology and Science. 17(2). 271–276. 1 indexed citations
20.
Choi, Woo Young, Jong Duk Lee, & Byung‐Gook Park. (2006). Characterization and Design Consideration of 80-nm Self-Aligned N-/P-Channel I-MOS Devices. JSTS Journal of Semiconductor Technology and Science. 6(1). 43–51. 3 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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