Chuljun Lee

502 total citations
33 papers, 454 citations indexed

About

Chuljun Lee is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Chuljun Lee has authored 33 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Artificial Intelligence. Recurrent topics in Chuljun Lee's work include Advanced Memory and Neural Computing (29 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and Neuroscience and Neural Engineering (8 papers). Chuljun Lee is often cited by papers focused on Advanced Memory and Neural Computing (29 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and Neuroscience and Neural Engineering (8 papers). Chuljun Lee collaborates with scholars based in South Korea and United States. Chuljun Lee's co-authors include Hyunsang Hwang, Daeseok Lee, Myung-Jun Kim, Sang‐Mo Koo, Seyoung Kim, Wooseok Choi, Jong‐Min Oh, Myung‐Yeon Cho, Myonghoon Kwak and Jiyong Woo and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and Nanoscale.

In The Last Decade

Chuljun Lee

31 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuljun Lee South Korea 12 352 123 83 57 49 33 454
Tangxin Li China 9 274 0.8× 66 0.5× 39 0.5× 115 2.0× 60 1.2× 22 364
Chuanyu Fu China 10 397 1.1× 160 1.3× 95 1.1× 92 1.6× 75 1.5× 23 464
Juseong Park South Korea 11 317 0.9× 107 0.9× 35 0.4× 43 0.8× 46 0.9× 27 420
Yanan Tian China 7 335 1.0× 118 1.0× 69 0.8× 77 1.4× 77 1.6× 16 442
Shenming Huang China 9 374 1.1× 153 1.2× 94 1.1× 92 1.6× 42 0.9× 11 444
Zhuorui Wang China 16 687 2.0× 301 2.4× 75 0.9× 113 2.0× 62 1.3× 26 800
Keji Zhou China 9 351 1.0× 93 0.8× 36 0.4× 75 1.3× 68 1.4× 31 392
Yulong Huang China 12 466 1.3× 205 1.7× 158 1.9× 67 1.2× 97 2.0× 17 545
Ye Tao China 17 635 1.8× 239 1.9× 207 2.5× 149 2.6× 71 1.4× 52 762

Countries citing papers authored by Chuljun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chuljun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuljun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chuljun Lee. A scholar is included among the top collaborators of Chuljun 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 Chuljun Lee. Chuljun 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.
Lee, Chuljun, et al.. (2026). Improved switching characteristics of an atomic switch device by highly restricted Ag doping. Nanotechnology. 37(5). 55202–55202.
2.
Lee, Chuljun, et al.. (2025). Interface effect based nano-scale TiOX vertical synapse device for high-density integration in neuromorphic computing system. Nanotechnology. 36(14). 145201–145201. 1 indexed citations
3.
Lee, Chuljun, et al.. (2024). Synapse device based neuromorphic system for biomedical applications. Biomedical Engineering Letters. 14(5). 903–916. 1 indexed citations
4.
Lee, Chuljun, et al.. (2024). Improvement of the weight update and retention characteristics of Pr0.7Ca0.3MnO3−x ECRAM via elevated temperature training. Nanoscale. 17(5). 2462–2468. 2 indexed citations
5.
Lee, Donguk, Jongwon Lee, Chuljun Lee, Seyoung Kim, & Hyunsang Hwang. (2022). Integrate-and-Fire Neuron With Li-Based Electrochemical Random Access Memory Using Native Linear Current Integration Characteristics. IEEE Transactions on Electron Devices. 69(9). 4889–4893. 5 indexed citations
7.
Kwak, Myonghoon, Sangmin Lee, Wooseok Choi, et al.. (2021). OTS-based Analog-to-Stochastic Converter for Fully-Parallel Weight Update in Cross-point Array Neural Networks. Open Access System for Information Sharing (Pohang University of Science and Technology). 1–2. 1 indexed citations
8.
Lee, Chuljun, et al.. (2021). Experimental measurement of ungated channel region conductance in a multi-terminal, metal oxide-based ECRAM. Semiconductor Science and Technology. 36(11). 114002–114002. 20 indexed citations
9.
Lee, Chuljun, Wooseok Choi, Myonghoon Kwak, Seyoung Kim, & Hyunsang Hwang. (2021). Excellent Synapse Characteristics of 50 nm Vertical Transistor with WO x channel for High Density Neuromorphic system. Symposium on VLSI Technology. 1–2. 3 indexed citations
10.
Lee, Kyumin, Wooseok Choi, Chuljun Lee, et al.. (2021). Improved synaptic functionalities of Li-based nano-ionic synaptic transistor with ultralow conductance enabled by Al 2 O 3 barrier layer. Nanotechnology. 32(27). 275201–275201. 24 indexed citations
11.
Lee, Chuljun, et al.. (2021). Alternative negative weight for simpler hardware implementation of synapse device based neuromorphic system. Scientific Reports. 11(1). 23198–23198. 14 indexed citations
12.
Lee, Chuljun, Myonghoon Kwak, Wooseok Choi, Seyoung Kim, & Hyunsang Hwang. (2021). Improved On-chip Training Efficiency at Elevated Temperature and Excellent Inference Accuracy with Retention (> 108 s) of $\text{Pr}_{0.7}\text{Ca}_{0.3}\text{MnO}_{3-\mathrm{x}}$ ECRAM Synapse Device for Hardware Neural Network. 2021 IEEE International Electron Devices Meeting (IEDM). 12.3.1–12.3.4. 11 indexed citations
13.
Kim, Myung-Jun, Chuljun Lee, Yubin Song, et al.. (2021). Multinary Data Processing Based on Nonlinear Synaptic Devices. Journal of Electronic Materials. 50(6). 3471–3477. 7 indexed citations
14.
Lee, Chuljun, et al.. (2020). An On-Chip Learning Method for Neuromorphic Systems Based on Non-Ideal Synapse Devices. Electronics. 9(11). 1946–1946. 6 indexed citations
15.
Choi, Wooseok, Donguk Lee, Seokjae Lim, et al.. (2020). WOx-Based Synapse Device With Excellent Conductance Uniformity for Hardware Neural Networks. IEEE Transactions on Nanotechnology. 19. 594–600. 17 indexed citations
16.
Lee, Chuljun, Myung-Jun Kim, Yubin Song, et al.. (2020). Li memristor-based MOSFET synapse for linear I–V characteristic and processing analog input neuromorphic system. Japanese Journal of Applied Physics. 60(2). 24003–24003. 8 indexed citations
17.
Lee, Chuljun, Wooseok Choi, Myonghoon Kwak, et al.. (2020). Pr0.7Ca0.3MnO3-Based Three-Terminal Synapse for Neuromorphic Computing. IEEE Electron Device Letters. 41(10). 1500–1503. 34 indexed citations
18.
Park, Jaesung, Chuljun Lee, Solomon Amsalu Chekol, et al.. (2019). Microstructural engineering in interface-type synapse device for enhancing linear and symmetric conductance changes. Nanotechnology. 30(30). 305202–305202. 21 indexed citations
19.
Choi, Yun-Seok, Chuljun Lee, Myung-Jun Kim, et al.. (2019). Structural Engineering of Li-Based Electronic Synapse for High Reliability. IEEE Electron Device Letters. 40(12). 1992–1995. 30 indexed citations
20.
Lee, Chuljun, Myung-Jun Kim, Sang-Mo Koo, Jong‐Min Oh, & Daeseok Lee. (2018). Titanium-oxide based nanoscale and embeddable subzero temperature sensor using MIT deformation characteristics. Nanotechnology. 30(3). 35203–35203. 1 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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