Myonghoon Kwak

880 total citations
26 papers, 771 citations indexed

About

Myonghoon Kwak is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Myonghoon Kwak has authored 26 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 12 papers in Polymers and Plastics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Myonghoon Kwak's work include Advanced Memory and Neural Computing (25 papers), Transition Metal Oxide Nanomaterials (12 papers) and Ferroelectric and Negative Capacitance Devices (9 papers). Myonghoon Kwak is often cited by papers focused on Advanced Memory and Neural Computing (25 papers), Transition Metal Oxide Nanomaterials (12 papers) and Ferroelectric and Negative Capacitance Devices (9 papers). Myonghoon Kwak collaborates with scholars based in South Korea and United States. Myonghoon Kwak's co-authors include Hyunsang Hwang, Revannath Dnyandeo Nikam, Jongwon Lee, Writam Banerjee, Wooseok Choi, Seokjae Lim, Hyunsang Hwang, Jeonghwan Song, Seyoung Kim and Kibong Moon and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Myonghoon Kwak

25 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Myonghoon Kwak South Korea	15	727	253	200	112	112	26	771
Panagiotis Bousoulas Greece	16	701 1.0×	329 1.3×	187 0.9×	63 0.6×	92 0.8×	54	752
Jingrui Wang China	14	788 1.1×	365 1.4×	187 0.9×	154 1.4×	223 2.0×	51	975
Shubham Ranjan Canada	8	630 0.9×	317 1.3×	196 1.0×	73 0.7×	81 0.7×	13	666
Spyros Stathopoulos United Kingdom	14	863 1.2×	392 1.5×	120 0.6×	81 0.7×	107 1.0×	59	946
Michael Luebben Germany	9	914 1.3×	384 1.5×	254 1.3×	35 0.3×	210 1.9×	9	957
Murat Onen United States	8	384 0.5×	115 0.5×	127 0.6×	78 0.7×	68 0.6×	11	449
Ayoub H. Jaafar United Kingdom	14	348 0.5×	153 0.6×	105 0.5×	54 0.5×	119 1.1×	26	425
Xuanyu Shan China	14	676 0.9×	351 1.4×	189 0.9×	139 1.2×	98 0.9×	39	733
Juxiang Wang China	10	541 0.7×	244 1.0×	199 1.0×	100 0.9×	106 0.9×	17	655
I‐Ting Wang Taiwan	17	1.2k 1.7×	497 2.0×	172 0.9×	160 1.4×	156 1.4×	44	1.3k

Countries citing papers authored by Myonghoon Kwak

Since Specialization

Citations

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

Fields of papers citing papers by Myonghoon Kwak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Myonghoon Kwak

This figure shows the co-authorship network connecting the top 25 collaborators of Myonghoon Kwak. A scholar is included among the top collaborators of Myonghoon Kwak 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 Myonghoon Kwak. Myonghoon Kwak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lee, Donguk, Myonghoon Kwak, Jongwon Lee, Jiyong Woo, & Hyunsang Hwang. (2022). Linear Frequency Modulation of NbO2-Based Nanoscale Oscillator With Li-Based Electrochemical Random Access Memory for Compact Coupled Oscillatory Neural Network. Frontiers in Neuroscience. 16. 939687–939687. 2 indexed citations

Lee, Jongwon, Revannath Dnyandeo Nikam, Myonghoon Kwak, & Hyunsang Hwang. (2022). Strategies to Improve the Synaptic Characteristics of Oxygen-Based Electrochemical Random-Access Memory Based on Material Parameters Optimization. ACS Applied Materials & Interfaces. 14(11). 13450–13457. 33 indexed citations

Choi, Wooseok, Myonghoon Kwak, Donguk Lee, et al.. (2022). Effect of Stochastic Resonance on Classification Accuracy of Neural Networks Utilizing Inherent Stochasticity in Threshold Voltage of Ovonic Threshold Switching Device. IEEE Journal of the Electron Devices Society. 10. 666–669.

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

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

Choi, Wooseok, Myonghoon Kwak, Seyoung Kim, & Hyunsang Hwang. (2021). Neural Network Training Acceleration With RRAM-Based Hybrid Synapses. Frontiers in Neuroscience. 15. 690418–690418. 6 indexed citations

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

Lee, Donguk, Myonghoon Kwak, Ah Ra Kim, et al.. (2021). Facile Approach for Improving Synaptic Modulation of Analog Resistive Characteristics by Embedding Oxygen Vacancies‐Rich Sub‐TaO_x in Pt/Ta₂O₅/Ti Device Stacks. physica status solidi (a). 218(2). 1 indexed citations

Lee, Sangmin, et al.. (2021). Understanding of forming and switching mechanism using trap distribution model for ovonic threshold switch device. Applied Physics Letters. 118(21). 24 indexed citations

10.

Kwak, Myonghoon, Wooseok Choi, Chuljun Lee, et al.. (2021). Excellent Pattern Recognition Accuracy of Neural Networks Using Hybrid Synapses and Complementary Training. IEEE Electron Device Letters. 42(4). 609–612. 12 indexed citations

11.

Nikam, Revannath Dnyandeo, Myonghoon Kwak, & Hyunsang Hwang. (2021). All‐Solid‐State Oxygen Ion Electrochemical Random‐Access Memory for Neuromorphic Computing. Advanced Electronic Materials. 7(5). 61 indexed citations

12.

Lee, Jongwon, Revannath Dnyandeo Nikam, Seokjae Lim, Myonghoon Kwak, & Hyunsang Hwang. (2020). Excellent synaptic behavior of lithium-based nano-ionic transistor based on optimal WO _2.7 stoichiometry with high ion diffusivity. Nanotechnology. 31(23). 235203–235203. 40 indexed citations

13.

Lee, Chuljun, Wooseok Choi, Myonghoon Kwak, et al.. (2020). Pr_0.7Ca_0.3MnO₃-Based Three-Terminal Synapse for Neuromorphic Computing. IEEE Electron Device Letters. 41(10). 1500–1503. 34 indexed citations

14.

Kwak, Myonghoon, Sangmin Lee, Seyoung Kim, & Hyunsang Hwang. (2020). Improved Pattern Recognition Accuracy of Hardware Neural Network: Deactivating Short Failed Synapse Device by Adopting Ovonic Threshold Switching (OTS)-Based Fuse Device. IEEE Electron Device Letters. 41(9). 1436–1439. 6 indexed citations

15.

Lee, Jongwon, Seokjae Lim, Myonghoon Kwak, Jeonghwan Song, & Hyunsang Hwang. (2019). Understanding of proton induced synaptic behaviors in three-terminal synapse device for neuromorphic systems. Nanotechnology. 30(25). 255202–255202. 36 indexed citations

16.

Nikam, Revannath Dnyandeo, et al.. (2019). Near ideal synaptic functionalities in Li ion synaptic transistor using Li3POxSex electrolyte with high ionic conductivity. Scientific Reports. 9(1). 18883–18883. 113 indexed citations

17.

Nikam, Revannath Dnyandeo, et al.. (2019). Controlled Ionic Tunneling in Lithium Nanoionic Synaptic Transistor through Atomically Thin Graphene Layer for Neuromorphic Computing. Advanced Electronic Materials. 6(2). 75 indexed citations

18.

Lee, Donguk, Myonghoon Kwak, Kibong Moon, et al.. (2019). Various Threshold Switching Devices for Integrate and Fire Neuron Applications. Advanced Electronic Materials. 5(9). 134 indexed citations

19.

Choi, Wooseok, Kibong Moon, Myonghoon Kwak, et al.. (2018). Hardware implementation of neural network using pre-programmed resistive device for pattern recognition. Solid-State Electronics. 153. 79–83. 11 indexed citations

20.

Kwak, Myonghoon, Jaesung Park, Jiyong Woo, & Hyunsang Hwang. (2018). Implementation of Convolutional Kernel Function Using 3-D TiO_{<italic>x</italic>} Resistive Switching Devices for Image Processing. IEEE Transactions on Electron Devices. 65(10). 4716–4718. 15 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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