Soochang Lee

733 total citations
31 papers, 580 citations indexed

About

Soochang Lee is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Soochang Lee has authored 31 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 10 papers in Cellular and Molecular Neuroscience and 9 papers in Cognitive Neuroscience. Recurrent topics in Soochang Lee's work include Advanced Memory and Neural Computing (22 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Neuroscience and Neural Engineering (10 papers). Soochang Lee is often cited by papers focused on Advanced Memory and Neural Computing (22 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Neuroscience and Neural Engineering (10 papers). Soochang Lee collaborates with scholars based in South Korea and United States. Soochang Lee's co-authors include Jong‐Ho Lee, Sung Yun Woo, Chul-Heung Kim, Won-Mook Kang, Jong‐Ho Bae, Sangmin Kang, Joonhee Moon, Jong Bo Park, Insu Jo and Youngsoo Kim and has published in prestigious journals such as ACS Nano, IEEE Access and Advanced Science.

In The Last Decade

Soochang Lee

25 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soochang Lee South Korea 12 369 131 110 104 100 31 580
Giorgio Palma Italy 9 381 1.0× 35 0.3× 150 1.4× 42 0.4× 109 1.1× 34 508
Zongjie Shen China 12 614 1.7× 145 1.1× 219 2.0× 74 0.7× 35 0.3× 25 764
Yongmo Park United States 10 576 1.6× 125 1.0× 161 1.5× 73 0.7× 120 1.2× 17 847
Minseong Park United States 12 368 1.0× 51 0.4× 75 0.7× 79 0.8× 116 1.2× 29 575
Danian Dong China 12 684 1.9× 159 1.2× 130 1.2× 119 1.1× 59 0.6× 54 845
Sujaya Kumar Vishwanath South Korea 14 641 1.7× 79 0.6× 178 1.6× 29 0.3× 150 1.5× 32 774
Woojin Park South Korea 16 554 1.5× 49 0.4× 83 0.8× 42 0.4× 143 1.4× 49 722
Zhangsheng Xu China 12 573 1.6× 79 0.6× 141 1.3× 90 0.9× 168 1.7× 18 688
Jinxin Li China 11 419 1.1× 92 0.7× 97 0.9× 80 0.8× 105 1.1× 46 654
Joanna Symonowicz United Kingdom 7 772 2.1× 44 0.3× 200 1.8× 188 1.8× 141 1.4× 9 944

Countries citing papers authored by Soochang Lee

Since Specialization
Citations

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

Fields of papers citing papers by Soochang Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soochang Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Soochang Lee. A scholar is included among the top collaborators of Soochang 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 Soochang Lee. Soochang 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, 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
2.
Lee, Soochang, et al.. (2022). A Realization of Real Time Algorithm for Fault and Health Diagnosis of Turbofan Engine Components. Journal of the Korean Society for Aeronautical & Space Sciences. 50(10). 717–727.
3.
Kim, Hyeongsu, et al.. (2022). Variation-Tolerant Capacitive Array for Binarized Neural Network. IEEE Electron Device Letters. 43(3). 478–481. 7 indexed citations
4.
Kwon, Dongseok, et al.. (2022). Neuron Circuits for Low-Power Spiking Neural Networks Using Time-To-First-Spike Encoding. IEEE Access. 10. 24444–24455. 19 indexed citations
5.
Kim, Jangsaeng, Soochang Lee, Chul-Heung Kim, Byung-Gook Park, & Jong‐Ho Lee. (2022). Analog synaptic devices applied to spiking neural networks for reinforcement learning applications. Semiconductor Science and Technology. 37(7). 75002–75002. 2 indexed citations
6.
Lee, Soochang, Hyeongsu Kim, Sung‐Tae Lee, Byung‐Gook Park, & Jong‐Ho Lee. (2021). SiO2 Fin-Based Flash Synaptic Cells in AND Array Architecture for Binary Neural Networks. IEEE Electron Device Letters. 43(1). 142–145. 14 indexed citations
7.
Kwon, Dongseok, Soochang Lee, Minkyu Park, et al.. (2021). 3-D AND-Type Flash Memory Architecture With High-κ Gate Dielectric for High-Density Synaptic Devices. IEEE Transactions on Electron Devices. 68(8). 3801–3806. 25 indexed citations
8.
Lee, Soochang, Sung Yun Woo, Dongseok Kwon, et al.. (2021). Spiking Neural Networks With Time-to-First-Spike Coding Using TFT-Type Synaptic Device Model. IEEE Access. 9. 78098–78107. 10 indexed citations
9.
Kang, Won-Mook, Dongseok Kwon, Sung Yun Woo, et al.. (2021). Hardware-Based Spiking Neural Network Using a TFT-Type AND Flash Memory Array Architecture Based on Direct Feedback Alignment. IEEE Access. 9. 73121–73132. 11 indexed citations
10.
Lee, Soochang, et al.. (2020). Relationship between Organizational Size and Performance in Public Management : Mediating Effect of Organizational Goal Ambiguity. The International Journal of Advanced Culture Technology. 8(3). 18–27.
11.
Lee, Soochang, et al.. (2020). How Paternalistic Leadership affects Employee Voice Behavior in Korean Hierarchical Organizations. The International Journal of Advanced Culture Technology. 8(2). 48–57.
12.
Kim, Chul-Heung, et al.. (2019). Unsupervised online learning of temporal information in spiking neural network using thin-film transistor-type NOR flash memory devices. Nanotechnology. 30(43). 435206–435206. 10 indexed citations
13.
Lee, Soochang, et al.. (2019). Impact of Organizational Justice and Perceived Organizational Support on Effectiveness of Police Crime Control. The International Journal of Advanced Culture Technology. 7(1). 49–57.
14.
Lee, Soochang, et al.. (2018). Mediating Effect of Cooperation with the Police on Compliance with the Law in Model of Procedural Justice and Police Legitimacy. 6(1). 15–22. 1 indexed citations
15.
Kim, Chul-Heung, Suhwan Lim, Sung Yun Woo, et al.. (2018). Emerging memory technologies for neuromorphic computing. Nanotechnology. 30(3). 32001–32001. 70 indexed citations
16.
Kim, Chul-Heung, Soochang Lee, Sung Yun Woo, et al.. (2018). Demonstration of Unsupervised Learning With Spike-Timing-Dependent Plasticity Using a TFT-Type NOR Flash Memory Array. IEEE Transactions on Electron Devices. 65(5). 1774–1780. 52 indexed citations
17.
Lee, Sung‐Tae, Suhwan Lim, Jong‐Ho Bae, et al.. (2018). Neuromorphic Technology Based on Charge Storage Memory Devices. 169–170. 19 indexed citations
18.
Woo, Sung Yun, Won-Mook Kang, Soochang Lee, et al.. (2018). A Split-Gate Positive Feedback Device With an Integrate-and-Fire Capability for a High-Density Low-Power Neuron Circuit. Frontiers in Neuroscience. 12. 704–704. 31 indexed citations
19.
Lee, Soochang, et al.. (2017). Network Analysis on Ageing Problems : Identifying Network Differences between Types of Cities. 5(2). 19–25.
20.
Lee, Soochang, et al.. (2005). The Effects of Organizational Environment and Structure on Authoritarian Behavior in Public Organization. Public Administration Quarterly. 17(2). 459–478. 2 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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