Min‐Hwi Kim

1.9k total citations
72 papers, 1.5k citations indexed

About

Min‐Hwi Kim is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Building and Construction. According to data from OpenAlex, Min‐Hwi Kim has authored 72 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Electrical and Electronic Engineering, 22 papers in Cellular and Molecular Neuroscience and 12 papers in Building and Construction. Recurrent topics in Min‐Hwi Kim's work include Advanced Memory and Neural Computing (53 papers), Ferroelectric and Negative Capacitance Devices (35 papers) and Neuroscience and Neural Engineering (20 papers). Min‐Hwi Kim is often cited by papers focused on Advanced Memory and Neural Computing (53 papers), Ferroelectric and Negative Capacitance Devices (35 papers) and Neuroscience and Neural Engineering (20 papers). Min‐Hwi Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Min‐Hwi Kim's co-authors include Sungjun Kim, Byung‐Gook Park, Hyungjin Kim, Seongjae Cho, Yao‐Feng Chang, Sungmin Hwang, Sin‐Hyung Lee, Tae‐Hyeon Kim, Dong‐Won Lee and Sunghun Jung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and ACS Applied Materials & Interfaces.

In The Last Decade

Min‐Hwi Kim

67 papers receiving 1.5k citations

Peers

Min‐Hwi Kim
Junjie Wang China
Sanjoy Kumar Nandi Australia
Yi Ye China
Myung-Jun Kim South Korea
Silan Zhang China
Jiyong Woo South Korea
Yu‐Hsuan Lin Taiwan
Hongwei Xie China
Niru Kumari United States
Wooseok Choi South Korea
Junjie Wang China
Min‐Hwi Kim
Citations per year, relative to Min‐Hwi Kim Min‐Hwi Kim (= 1×) peers Junjie Wang

Countries citing papers authored by Min‐Hwi Kim

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Hwi Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Hwi Kim. 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‐Hwi Kim. The network helps show where Min‐Hwi Kim may publish in the future.

Co-authorship network of co-authors of Min‐Hwi Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Hwi Kim. A scholar is included among the top collaborators of Min‐Hwi Kim 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‐Hwi Kim. Min‐Hwi Kim 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.
An, Youngsub, et al.. (2025). Experimental investigation of the energy performance of a photovoltaic-thermal assisted ground source heat pump system for net plus energy houses. Case Studies in Thermal Engineering. 69. 105974–105974. 3 indexed citations
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.
4.
Ju, Dongyeol, et al.. (2024). Artificial Neural Network Classification Using Al-Doped HfOx-Based Ferroelectric Tunneling Junction with Self-Rectifying Behaviors. ACS Materials Letters. 6(6). 2320–2328. 6 indexed citations
5.
Kim, Seong‐Min, et al.. (2024). Configurable Synaptic and Stochastic Neuronal Functions in ZnTe‐Based Memristor for an RBM Neural Network. Advanced Science. 11(42). e2405768–e2405768. 7 indexed citations
6.
Lee, Ji-Hwan, et al.. (2023). Definition of a Localized Conducting Path via Suppressed Charge Injection in Oxide Memristors for Stable Practical Hardware Neural Networks. ACS Applied Materials & Interfaces. 15(44). 51444–51452. 18 indexed citations
7.
8.
Kim, Min‐Hwi, Seongjae Cho, & Byung‐Gook Park. (2021). Nanoscale wedge resistive-switching synaptic device and experimental verification of vector-matrix multiplication for hardware neuromorphic application. Japanese Journal of Applied Physics. 60(5). 50905–50905. 13 indexed citations
9.
Kim, Min‐Hwi, Hea‐Lim Park, Min‐Hoi Kim, et al.. (2021). Fluoropolymer-based organic memristor with multifunctionality for flexible neural network system. npj Flexible Electronics. 5(1). 72 indexed citations
10.
Kim, Min‐Hwi, Sungmin Hwang, Tae‐Hyeon Kim, et al.. (2021). A More Hardware-Oriented Spiking Neural Network Based on Leading Memory Technology and Its Application With Reinforcement Learning. IEEE Transactions on Electron Devices. 68(9). 4411–4417. 14 indexed citations
11.
Kim, Tae‐Hyeon, Min‐Hwi Kim, Dong Keun Lee, et al.. (2020). Fabrication and Characterization of TiO x Memristor for Synaptic Device Application. IEEE Transactions on Nanotechnology. 19. 475–480. 28 indexed citations
12.
Kim, Min‐Hwi, Tae‐Hyeon Kim, Dong Keun Lee, et al.. (2020). Insertion of Ag Layer in TiN/SiNx/TiN RRAM and Its Effect on Filament Formation Modeled by Monte Carlo Simulation. IEEE Access. 8. 228720–228730. 9 indexed citations
13.
Lee, Dong Keun, Min‐Hwi Kim, Tae‐Hyeon Kim, et al.. (2020). Multilevel Switching Characteristics of Si3N4-Based Nano-Wedge Resistive Switching Memory and Array Simulation for In-Memory Computing Application. Electronics. 9(8). 1228–1228. 5 indexed citations
14.
Min, Kyung Kyu, Min‐Hwi Kim, Tae‐Hyeon Kim, et al.. (2020). Investigation of the Thermal Recovery From Reset Breakdown of a SiN x -Based RRAM. IEEE Transactions on Electron Devices. 67(4). 1600–1605. 11 indexed citations
15.
Lee, Dong Keun, Min‐Hwi Kim, Tae‐Hyeon Kim, et al.. (2019). Synaptic behaviors of HfO2 ReRAM by pulse frequency modulation. Solid-State Electronics. 154. 31–35. 12 indexed citations
16.
Kim, Min‐Hwi, Tae‐Hyeon Kim, Dong Keun Lee, et al.. (2018). Gradual switching and self-rectifying characteristics of Cu/α-IGZO/p+-Si RRAM for synaptic device application. Solid-State Electronics. 150. 60–65. 31 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, Min‐Hwi, Sungjun Kim, Tae‐Hyeon Kim, et al.. (2018). Uniformity Improvement of SiN x -Based Resistive Switching Memory by Suppressed Internal Overshoot Current. IEEE Transactions on Nanotechnology. 17(4). 824–828. 22 indexed citations
19.
Kim, Sungjun, Yao‐Feng Chang, Min‐Hwi Kim, et al.. (2017). Ultralow power switching in a silicon-rich SiNy/SiNx double-layer resistive memory device. Physical Chemistry Chemical Physics. 19(29). 18988–18995. 27 indexed citations
20.
Kim, Min‐Hwi, Sungjun Kim, Kyung‐Chang Ryoo, Seongjae Cho, & Byung‐Gook Park. (2017). Circuit-level simulation of resistive-switching random-access memory cross-point array based on a highly reliable compact model. Journal of Computational Electronics. 17(1). 273–278. 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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