Dong Ik Suh

682 total citations
17 papers, 299 citations indexed

About

Dong Ik Suh is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Dong Ik Suh has authored 17 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 6 papers in Materials Chemistry and 4 papers in Artificial Intelligence. Recurrent topics in Dong Ik Suh's work include Ferroelectric and Negative Capacitance Devices (11 papers), Advanced Memory and Neural Computing (11 papers) and Magnetic properties of thin films (3 papers). Dong Ik Suh is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (11 papers), Advanced Memory and Neural Computing (11 papers) and Magnetic properties of thin films (3 papers). Dong Ik Suh collaborates with scholars based in South Korea and United States. Dong Ik Suh's co-authors include Wanjun Park, Hyang Keun Yoo, Myeong Seop Song, Matthew R. MacDonald, Kunwoo Park, Xinjian Lei, Kyoungjun Lee, Jungwon Park, Seung Chul Chae and Zhongwei Zhu and has published in prestigious journals such as Journal of Applied Physics, ACS Applied Materials & Interfaces and Nanoscale.

In The Last Decade

Dong Ik Suh

15 papers receiving 290 citations

Peers

Dong Ik Suh
Inho Lee South Korea
Tanmay Chavan United States
Changhyun Kim South Korea
Geon‐Beom Lee South Korea
Sumeet K. Gupta United States
Inho Lee South Korea
Dong Ik Suh
Citations per year, relative to Dong Ik Suh Dong Ik Suh (= 1×) peers Inho Lee

Countries citing papers authored by Dong Ik Suh

Since Specialization
Citations

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

Fields of papers citing papers by Dong Ik Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Ik Suh. 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 Dong Ik Suh. The network helps show where Dong Ik Suh may publish in the future.

Co-authorship network of co-authors of Dong Ik Suh

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

All Works

17 of 17 papers shown
1.
Huang, Wei-Hsing, et al.. (2024). Opposing Mean Error Compensation for Accuracy Enhancement in Analog Compute-in-Memory With Resistive Switching Devices. IEEE Transactions on Electron Devices. 72(2). 934–938.
2.
Suh, Dong Ik, Gunhee Lee, Dohee Kim, et al.. (2024). Improvement of MAC Accuracy using Oxygen Diffusion Barriers in Resistive Synaptic Cell Arrays. 4. 1–4. 1 indexed citations
4.
Suh, Dong Ik, Seung Wook Ryu, Heeyoung Jeon, et al.. (2023). Demonstration of Ultra-thin Ferroelectric/dielectric and Anti-ferroelectric/dielectric Bilayers for Future DRAM Cell Capacitors. 1–3. 2 indexed citations
5.
6.
Suh, Dong Ik, Hanwool Lee, Dabin Kim, et al.. (2022). Recognition Accuracy Enhancement using Interface Control with Weight Variation-Lowering in Analog Computation-in-Memory. 1–3. 2 indexed citations
7.
Lee, Kyoungjun, Hyun‐Jae Lee, Myeong Seop Song, et al.. (2019). Stable Subloop Behavior in Ferroelectric Si-Doped HfO2. ACS Applied Materials & Interfaces. 11(42). 38929–38936. 67 indexed citations
8.
Lee, Kyoungjun, Myeong Seop Song, Sang Mo Yang, et al.. (2018). Ferroelectric Polarization-Switching Dynamics and Wake-Up Effect in Si-Doped HfO2. ACS Applied Materials & Interfaces. 11(3). 3142–3149. 104 indexed citations
9.
Suh, Dong Ik, et al.. (2017). Construction of a Bit Stream Using Telegraphic Switching of a Two-Input Magnetic Tunnel Junction. IEEE Transactions on Magnetics. 53(11). 1–4. 3 indexed citations
10.
Chun, Sungwoo, et al.. (2017). A tactile sensor using single layer graphene for surface texture recognition. Nanoscale. 9(29). 10248–10255. 37 indexed citations
11.
Kim, Un Jeong, et al.. (2016). Electric Characteristics of the Carbon Nanotube Network Transistor with Directly Grown ZnO Nanoparticles. Journal of Nanoscience and Nanotechnology. 16(3). 2887–2890. 1 indexed citations
12.
Suh, Dong Ik, et al.. (2015). Perpendicular Magnetic Anisotropy for CoFeBZr/MgO. IEEE Transactions on Magnetics. 51(11). 1–4. 1 indexed citations
13.
Suh, Dong Ik, et al.. (2015). A Single Magnetic Tunnel Junction Representing the Basic Logic Functions—NAND, NOR, and IMP. IEEE Electron Device Letters. 36(4). 402–404. 17 indexed citations
14.
Suh, Dong Ik, et al.. (2015). Neural coding using telegraphic switching of magnetic tunnel junction. Journal of Applied Physics. 117(17). 18 indexed citations
15.
Suh, Dong Ik, et al.. (2015). An Associative Memory Device Using a Magnetic Tunnel Junction. IEEE Transactions on Magnetics. 51(11). 1–4. 10 indexed citations
16.
Lee, Junwoo, Dong Ik Suh, & Wanjun Park. (2015). The universal magnetic tunnel junction logic gates representing 16 binary Boolean logic operations. Journal of Applied Physics. 117(17). 19 indexed citations
17.
Suh, Dong Ik, et al.. (2012). Current-driven switching property of MgO-based magnetic tunnel junctions with a CoFeB free layer with in-plane magnetization. Journal of the Korean Physical Society. 61(10). 1596–1599.

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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