Euijun Cha

1.9k total citations
56 papers, 1.5k citations indexed

About

Euijun Cha is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Euijun Cha has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 23 papers in Polymers and Plastics and 12 papers in Materials Chemistry. Recurrent topics in Euijun Cha's work include Advanced Memory and Neural Computing (52 papers), Ferroelectric and Negative Capacitance Devices (38 papers) and Transition Metal Oxide Nanomaterials (23 papers). Euijun Cha is often cited by papers focused on Advanced Memory and Neural Computing (52 papers), Ferroelectric and Negative Capacitance Devices (38 papers) and Transition Metal Oxide Nanomaterials (23 papers). Euijun Cha collaborates with scholars based in South Korea, United States and Belgium. Euijun Cha's co-authors include Hyunsang Hwang, Jiyong Woo, Daeseok Lee, Jeonghwan Song, Jaesung Park, Sangsu Park, Amit Prakash, Jae-Hyuk Park, Seonghyun Kim and Kibong Moon and has published in prestigious journals such as Advanced Materials, ACS Nano and Applied Physics Letters.

In The Last Decade

Euijun Cha

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Euijun Cha South Korea 22 1.5k 441 428 287 109 56 1.5k
Joonmyoung Lee South Korea 22 1.8k 1.2× 427 1.0× 620 1.4× 457 1.6× 91 0.8× 59 1.8k
Jihang Lee United States 15 1.5k 1.0× 555 1.3× 444 1.0× 349 1.2× 167 1.5× 16 1.6k
Attilio Belmonte Belgium 22 1.7k 1.1× 423 1.0× 332 0.8× 370 1.3× 56 0.5× 94 1.7k
Huajun Sun China 19 1.5k 1.0× 714 1.6× 295 0.7× 338 1.2× 209 1.9× 47 1.6k
F. Nardi Italy 20 2.1k 1.4× 674 1.5× 558 1.3× 457 1.6× 135 1.2× 36 2.1k
Kate J. Norris United States 9 890 0.6× 326 0.7× 209 0.5× 201 0.7× 105 1.0× 36 961
Xianhu Liang China 10 1.1k 0.8× 357 0.8× 206 0.5× 434 1.5× 58 0.5× 17 1.2k
Tian-Jian Chu Taiwan 19 1.4k 0.9× 337 0.8× 442 1.0× 354 1.2× 35 0.3× 32 1.4k
Yaxiong Zhou China 19 1.1k 0.8× 535 1.2× 170 0.4× 161 0.6× 110 1.0× 24 1.2k

Countries citing papers authored by Euijun Cha

Since Specialization
Citations

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

Fields of papers citing papers by Euijun Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Euijun Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Euijun Cha. A scholar is included among the top collaborators of Euijun Cha 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 Euijun Cha. Euijun Cha 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.
Cha, Euijun, Hyeon Woo Kim, Jeong‐Gu Yeo, et al.. (2025). Self‐Reinforcing Degradation of Solution‐Processed Small‐Molecule OLEDs: Excited‐States and Molecular Interactions as Key Triggers. Advanced Functional Materials. 35(52).
2.
Park, Jae-Hyuk, et al.. (2017). Multi-layered NiOy/NbOx/NiOy fast drift-free threshold switch with high Ion/Ioff ratio for selector application. Scientific Reports. 7(1). 4068–4068. 70 indexed citations
3.
Moon, Kibong, Euijun Cha, Daeseok Lee, et al.. (2016). ReRAM-based analog synapse and IMT neuron device for neuromorphic system. 1–2. 16 indexed citations
4.
Park, Jae-Hyuk, Euijun Cha, I. V. Karpov, & Hyunsang Hwang. (2016). Dynamics of electroforming and electrically driven insulator-metal transition in NbOx selector. Applied Physics Letters. 108(23). 46 indexed citations
5.
Park, Jae-Hyuk, Euijun Cha, Daeseok Lee, et al.. (2015). Improved threshold switching characteristics of multi-layer NbOx for 3-D selector application. Microelectronic Engineering. 147. 318–320. 20 indexed citations
6.
Lee, J.H., et al.. (2015). A study of threshold switching of NbO2 using atom probe tomography and transmission electron microscopy. Micron. 79. 101–109. 16 indexed citations
7.
Lee, Sangheon, Jiyong Woo, Daeseok Lee, Euijun Cha, & Hyunsang Hwang. (2014). Internal resistor of multi-functional tunnel barrier for selectivity and switching uniformity in resistive random access memory. Nanoscale Research Letters. 9(1). 364–364. 17 indexed citations
8.
Moon, Kibong, Sangsu Park, Junwoo Jang, et al.. (2014). Hardware implementation of associative memory characteristics with analogue-type resistive-switching device. Nanotechnology. 25(49). 495204–495204. 46 indexed citations
9.
Lee, Sangheon, Jiyong Woo, Daeseok Lee, Euijun Cha, & Hyunsang Hwang. (2014). Stepwise set operation for reliable switching uniformity and low operating current of ReRAMs. Solid-State Electronics. 102. 42–45. 1 indexed citations
10.
Lee, Daeseok, Jiyong Woo, Euijun Cha, Sangheon Lee, & Hyunsang Hwang. (2014). Effects of High-Pressure Hydrogen Annealing on the Formation of Conducting Filaments in Filament-Type Resistive Random-Access Memory. Journal of Electronic Materials. 43(9). 3635–3639. 1 indexed citations
11.
Lee, Daeseok, Jiyong Woo, Sangsu Park, et al.. (2014). Low-temperature spin-on-glass method involving high-pressure annealing for filling high-aspect-ratio structures. Japanese Journal of Applied Physics. 53(6). 68007–68007. 2 indexed citations
12.
Moon, Kibong, Daeseok Lee, Jiyong Woo, et al.. (2014). Resistive-switching analogue memory device for neuromorphic application. 1–2. 4 indexed citations
13.
Woo, Jiyong, Wootae Lee, Sangsu Park, et al.. (2013). Multi-layer tunnel barrier (Ta 2 O 5 /TaO x /TiO 2 ) engineering for bipolar RRAM selector applications. Symposium on VLSI Technology. 11 indexed citations
14.
Woo, Jiyong, Daeseok Lee, Euijun Cha, et al.. (2013). Vertically Stacked ReRAM Composed of a Bidirectional Selector and CB-RAM for Cross-Point Array Applications. IEEE Electron Device Letters. 34(12). 1512–1514. 22 indexed citations
15.
Woo, Jiyong, Seonghyun Kim, Wootae Lee, et al.. (2013). Thermally activated non-linearity of device in resistance-switching memory for cross-point array applications. Applied Physics Letters. 102(12). 13 indexed citations
16.
17.
Cha, Euijun, Jiyong Woo, Daeseok Lee, et al.. (2013). Nanoscale (&#x223C;10nm) 3D vertical ReRAM and NbO<inf>2</inf> threshold selector with TiN electrode. Open Access System for Information Sharing (Pohang University of Science and Technology). 10.5.1–10.5.4. 60 indexed citations
18.
19.
Kim, Seonghyun, Xinjun Liu, Jubong Park, et al.. (2012). Ultrathin (&amp;lt;10nm) Nb<inf>2</inf>O<inf>5</inf>/NbO<inf>2</inf> hybrid memory with both memory and selector characteristics for high density 3D vertically stackable RRAM applications. ANU Open Research (Australian National University). 155–156. 72 indexed citations
20.
Lee, Wootae, Jubong Park, Seonghyun Kim, et al.. (2012). Improved switching uniformity in resistive random access memory containing metal-doped electrolyte due to thermally agglomerated metallic filaments. Applied Physics Letters. 100(14). 30 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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