Ik‐Jyae Kim

1.0k total citations
21 papers, 737 citations indexed

About

Ik‐Jyae Kim is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ik‐Jyae Kim has authored 21 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 5 papers in Materials Chemistry and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ik‐Jyae Kim's work include Ferroelectric and Negative Capacitance Devices (16 papers), Advanced Memory and Neural Computing (15 papers) and Semiconductor materials and devices (11 papers). Ik‐Jyae Kim is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (16 papers), Advanced Memory and Neural Computing (15 papers) and Semiconductor materials and devices (11 papers). Ik‐Jyae Kim collaborates with scholars based in South Korea. Ik‐Jyae Kim's co-authors include Jang‐Sik Lee, Min‐Kyu Kim, Youngjun Park, Dongshin Kim and Goutam Kumar Gupta and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ik‐Jyae Kim

17 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ik‐Jyae Kim South Korea 11 694 234 134 80 78 21 737
Jin Feng Leong Singapore 11 496 0.7× 290 1.2× 100 0.7× 78 1.0× 62 0.8× 17 604
Sohail Abbas South Korea 11 494 0.7× 258 1.1× 175 1.3× 104 1.3× 86 1.1× 14 617
Thomas F. Schranghamer United States 12 495 0.7× 284 1.2× 144 1.1× 107 1.3× 54 0.7× 16 655
Je‐Jun Lee South Korea 9 581 0.8× 210 0.9× 208 1.6× 68 0.8× 124 1.6× 17 649
Zhen Luo China 11 628 0.9× 327 1.4× 120 0.9× 67 0.8× 52 0.7× 20 728
Hangyu Xu China 9 426 0.6× 235 1.0× 80 0.6× 83 1.0× 73 0.9× 25 542
Darsith Jayachandran United States 8 540 0.8× 367 1.6× 101 0.8× 140 1.8× 60 0.8× 8 730
Jianchi Zhang China 7 1.0k 1.5× 409 1.7× 89 0.7× 90 1.1× 77 1.0× 15 1.1k
Zhouchangwan Yu United States 8 643 0.9× 272 1.2× 194 1.4× 40 0.5× 59 0.8× 14 701

Countries citing papers authored by Ik‐Jyae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ik‐Jyae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ik‐Jyae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Ik‐Jyae Kim. A scholar is included among the top collaborators of Ik‐Jyae 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 Ik‐Jyae Kim. Ik‐Jyae 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.
Kim, Ik‐Jyae & Jang‐Sik Lee. (2024). Unlocking large memory windows and 16-level data per cell memory operations in hafnia-based ferroelectric transistors. Science Advances. 10(23). eadn1345–eadn1345. 7 indexed citations
2.
Kim, Ik‐Jyae, et al.. (2024). Crystal Filter-Mediated Grain Alignment in Poly-Si Thin-Film Transistors for Next-Generation Ferroelectric Memory Devices. IEEE Electron Device Letters. 45(9). 1590–1593.
3.
Kim, Ik‐Jyae, et al.. (2024). Exploring Disturb Characteristics in 2D and 3D Ferroelectric NAND Memory Arrays for Next-Generation Memory Technology. ACS Applied Materials & Interfaces. 16(26). 33763–33770. 3 indexed citations
4.
Kim, Ik‐Jyae, et al.. (2024). Hafnia-Based Ferroelectric Transistor with Poly-Si Gates for Gate-First Three-Dimensional NAND Structures. ACS Applied Materials & Interfaces. 16(48). 66273–66279.
5.
Kim, Ik‐Jyae & Jang‐Sik Lee. (2023). Low-Thermal-Budget Fabrication of Transparent Ferroelectric Thin-Film Transistors on Glass Substrates. IEEE Electron Device Letters. 44(9). 1460–1463. 1 indexed citations
6.
Kim, Ik‐Jyae & Jang‐Sik Lee. (2023). Dopant Engineering of Hafnia‐Based Ferroelectrics for Long Data Retention and High Thermal Stability. Small. 20(13). e2306871–e2306871. 4 indexed citations
7.
Kim, Ik‐Jyae, Min‐Kyu Kim, & Jang‐Sik Lee. (2023). Highly-scaled and fully-integrated 3-dimensional ferroelectric transistor array for hardware implementation of neural networks. Nature Communications. 14(1). 504–504. 63 indexed citations
8.
Gupta, Goutam Kumar, et al.. (2023). Inorganic Perovskite Quantum Dot-Mediated Photonic Multimodal Synapse. ACS Applied Materials & Interfaces. 15(14). 18055–18064. 25 indexed citations
10.
Kim, Min‐Kyu, Ik‐Jyae Kim, & Jang‐Sik Lee. (2023). Defect Engineering of Hafnia-Based Ferroelectric Materials for High-Endurance Memory Applications. ACS Omega. 8(20). 18180–18185. 5 indexed citations
11.
Kim, Ik‐Jyae, Min‐Kyu Kim, & Jang‐Sik Lee. (2022). Design Strategy to Improve Memory Window in Ferroelectric Transistors With Oxide Semiconductor Channel. IEEE Electron Device Letters. 44(2). 249–252. 14 indexed citations
12.
Kim, Ik‐Jyae & Jang‐Sik Lee. (2022). Ferroelectric Transistors for Memory and Neuromorphic Device Applications. Advanced Materials. 35(22). e2206864–e2206864. 145 indexed citations
13.
Kim, Min‐Kyu, Ik‐Jyae Kim, & Jang‐Sik Lee. (2022). CMOS-compatible compute-in-memory accelerators based on integrated ferroelectric synaptic arrays for convolution neural networks. Science Advances. 8(14). eabm8537–eabm8537. 78 indexed citations
14.
Kim, Ik‐Jyae, Min‐Kyu Kim, & Jang‐Sik Lee. (2022). Vertical ferroelectric thin-film transistor array with a 10-nm gate length for high-density three-dimensional memory applications. Applied Physics Letters. 121(4). 22 indexed citations
15.
Kim, Ik‐Jyae, et al.. (2022). Analysis of Residual Stresses Induced in the Confined 3D NAND Flash Memory Structure for Process Optimization. IEEE Journal of the Electron Devices Society. 10. 104–108. 9 indexed citations
16.
Kim, Min‐Kyu, Ik‐Jyae Kim, & Jang‐Sik Lee. (2021). CMOS-compatible ferroelectric NAND flash memory for high-density, low-power, and high-speed three-dimensional memory. Science Advances. 7(3). 170 indexed citations
17.
Kim, Dongshin, Ik‐Jyae Kim, & Jang‐Sik Lee. (2021). Memory Devices for Flexible and Neuromorphic Device Applications. SHILAP Revista de lepidopterología. 3(5). 22 indexed citations
18.
Kim, Min‐Kyu, Ik‐Jyae Kim, & Jang‐Sik Lee. (2021). Oxide semiconductor-based ferroelectric thin-film transistors for advanced neuromorphic computing. Applied Physics Letters. 118(3). 53 indexed citations
19.
Kim, Min‐Kyu, Youngjun Park, Ik‐Jyae Kim, & Jang‐Sik Lee. (2020). Emerging Materials for Neuromorphic Devices and Systems. iScience. 23(12). 101846–101846. 103 indexed citations
20.
Kim, Ik‐Jyae, Min‐Kyu Kim, Youngjun Park, & Jang‐Sik Lee. (2020). Heterosynaptic Plasticity Emulated by Liquid Crystal–Carbon Nanotube Composites with Modulatory Interneurons. ACS Applied Materials & Interfaces. 12(24). 27467–27475. 13 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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