Jungdal Choi

1.2k total citations · 1 hit paper
26 papers, 849 citations indexed

About

Jungdal Choi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Jungdal Choi has authored 26 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 15 papers in Computer Networks and Communications and 4 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Jungdal Choi's work include Semiconductor materials and devices (22 papers), Advanced Data Storage Technologies (14 papers) and Advancements in Semiconductor Devices and Circuit Design (8 papers). Jungdal Choi is often cited by papers focused on Semiconductor materials and devices (22 papers), Advanced Data Storage Technologies (14 papers) and Advancements in Semiconductor Devices and Circuit Design (8 papers). Jungdal Choi collaborates with scholars based in South Korea and United States. Jungdal Choi's co-authors include Sung‐Hoi Hur, Jae-Duk Lee, Kinam Kim, Jongsun Sel, Kwang Soo Seol, Changseok Kang, Kitae Park, Jaehyuck Choi, Hongsik Jeong and Young‐Woo Park and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Electron Devices and Japanese Journal of Applied Physics.

In The Last Decade

Jungdal Choi

26 papers receiving 818 citations

Hit Papers

Effects of floating-gate interference on NAND flash memor... 2002 2026 2010 2018 2002 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jungdal Choi South Korea 13 682 382 128 122 58 26 849
Sung‐Hoi Hur South Korea 11 685 1.0× 344 0.9× 115 0.9× 176 1.4× 54 0.9× 32 854
E. Camerlenghi Italy 7 506 0.7× 256 0.7× 63 0.5× 152 1.2× 78 1.3× 14 703
Akira Goda United States 16 788 1.2× 432 1.1× 58 0.5× 89 0.7× 58 1.0× 32 909
Jae-Duk Lee South Korea 9 554 0.8× 471 1.2× 152 1.2× 82 0.7× 86 1.5× 19 794
S. Aritome Japan 16 720 1.1× 482 1.3× 102 0.8× 114 0.9× 134 2.3× 58 904
M. Kido Japan 7 763 1.1× 393 1.0× 86 0.7× 104 0.9× 83 1.4× 9 900
Hyungcheol Shin South Korea 18 892 1.3× 398 1.0× 77 0.6× 83 0.7× 44 0.8× 92 1.0k
R. Shirota Japan 15 687 1.0× 464 1.2× 101 0.8× 84 0.7× 107 1.8× 63 821
Kuang-Yeu Hsieh Taiwan 21 1.3k 1.9× 436 1.1× 86 0.7× 324 2.7× 105 1.8× 102 1.4k
Kang-Deog Suh South Korea 11 562 0.8× 443 1.2× 147 1.1× 47 0.4× 123 2.1× 15 787

Countries citing papers authored by Jungdal Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jungdal Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jungdal Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Jungdal Choi. A scholar is included among the top collaborators of Jungdal Choi 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 Jungdal Choi. Jungdal Choi 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.
Park, Seong-Geon, Min Kyu Yang, Hyunsu Ju, et al.. (2012). A non-linear ReRAM cell with sub-1μA ultralow operating current for high density vertical resistive memory (VRRAM). 20.8.1–20.8.4. 64 indexed citations
2.
Choi, Jungdal & Kwang Soo Seol. (2011). 3D approaches for non-volatile memory. Symposium on VLSI Technology. 178–179. 30 indexed citations
3.
Shim, Won‐Bo, Seongjae Cho, Jung Hoon Lee, et al.. (2011). Stacked Gated Twin-Bit (SGTB) SONOS Memory Device for High-Density Flash Memory. IEEE Transactions on Nanotechnology. 11(2). 307–313. 2 indexed citations
4.
Shim, Sun Il, Jae Hoon Jang, Hoosung Cho, et al.. (2010). Highly reliable vertical NAND technology with biconcave shaped storage layer and leakage controllable offset structure. 173–174. 25 indexed citations
5.
Kim, Ju-Hyung, Changseok Kang, Jong Yeon Kim, et al.. (2010). New phenomena for the Lifetime Prediction of TANOS-based Charge Trap NAND Flash Memory. 99–100. 8 indexed citations
6.
Seol, Kwang Soo, et al.. (2010). A new floating gate cell structure with a silicon-nitride cap layer for sub-20 nm NAND flash memory. 127–128. 6 indexed citations
7.
Choi, Jungdal, et al.. (2009). Comparison of double patterning technologies in NAND flash memory with sub-30nm node. 269–271. 4 indexed citations
8.
Park, Kitae, et al.. (2008). A Novel nand Flash Memory With Asymmetric S/D Structure Using Fringe-Field-Induced Inversion Layer. IEEE Transactions on Electron Devices. 55(1). 404–410. 16 indexed citations
9.
Kang, Changseok, Jungdal Choi, Changhyun Lee, et al.. (2007). Effects of Lateral Charge Spreading on the Reliability of TANOS (TaN/AlO/SiN/Oxide/Si) NAND Flash Memory. 167–170. 41 indexed citations
10.
Park, Jintaek, Changseok Kang, Ju-Hyung Kim, et al.. (2007). Self Aligned Trap-Shallow Trench Isolation Scheme for the Reliability of TANOS (TaN/AlO/SiN/Oxide/Si) NAND Flash Memory. 110–111. 7 indexed citations
12.
Choi, Jungdal, Changseok Kang, Chang Hyun Lee, et al.. (2006). A novel NAND-type MONOS memory using 63nm process technology for multi-gigabit flash EEPROMs. 327–330. 39 indexed citations
13.
Kim, Kinam & Jungdal Choi. (2006). Future Outlook of NAND Flash Technology for 40nm Node and Beyond. 62 indexed citations
14.
Kang, Changseok, Jang‐Sik Lee, Kitae Park, et al.. (2006). Charge Trapping Memory Cell of TANOS (Si-Oxide-SiN-Al2O3-TaN) Structure Compatible to Conventional NAND Flash Memory. 54–55. 13 indexed citations
15.
Park, Ki‐Tae, Seung‐Chul Lee, Jongsun Sel, Jungdal Choi, & Kinam Kim. (2006). Scalable Wordline Shielding Scheme using Dummy Cell beyond 40nm NAND Flash Memory for Eliminating Abnormal Disturb of Edge Memory Cell. 4 indexed citations
16.
Byeon, Dae-Seok, Sungsoo Lee, Jin‐Sung Park, et al.. (2005). An 8gb multi-level NAND flash memory with 63nm STI CMOS process technology. 46–47. 13 indexed citations
17.
Park, Jong‐Ho, Sung‐Hoi Hur, Jongsun Sel, et al.. (2005). 8Gb MLC (Multi-Level Cell) NAND flash memory using 63nm process technology. 873–876. 38 indexed citations
18.
Kim, Kinam, Jaehyuck Choi, Jungdal Choi, & Hongsik Jeong. (2005). The future prospect of nonvolatile memory. 88–94. 28 indexed citations
19.
Lee, Chang‐Won, Dae-Seok Byeon, Jungdal Choi, et al.. (2003). A 1.8 V 1 Gb NAND flash memory with 0.12 μm STI process technology. 2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315). 1. 104–450. 2 indexed citations
20.
Lee, June, Dae-Seok Byeon, Sung-Soo Lee, et al.. (2002). High-performance 1-Gb-NAND flash memory with 0.12-μm technology. IEEE Journal of Solid-State Circuits. 37(11). 1502–1509. 9 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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