Jong Hoon Shin

1.1k total citations · 1 hit paper
16 papers, 879 citations indexed

About

Jong Hoon Shin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Jong Hoon Shin has authored 16 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 3 papers in Condensed Matter Physics. Recurrent topics in Jong Hoon Shin's work include Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Semiconductor materials and devices (3 papers). Jong Hoon Shin is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Semiconductor materials and devices (3 papers). Jong Hoon Shin collaborates with scholars based in South Korea, United States and Argentina. Jong Hoon Shin's co-authors include Wei Lü, J. W. Moon, Chao Du, Seung Hwan Lee, Wen Ma, Fuxi Cai, Jihang Lee, Shinhyun Choi, Patrick Sheridan and YeonJoo Jeong and has published in prestigious journals such as Nano Letters, Applied Physics Letters and ACS Applied Materials & Interfaces.

In The Last Decade

Jong Hoon Shin

16 papers receiving 870 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Temporal data classification and forecasting using a memristor-based reservoir computing system

2019 485 citations J. W. Moon, Wen Ma et al. Nature Electronics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jong Hoon Shin South Korea	9	782	417	263	214	66	16	879
Adrien F. Vincent France	12	877 1.1×	202 0.5×	211 0.8×	360 1.7×	62 0.9×	26	938
Christopher H. Bennett United States	18	916 1.2×	309 0.7×	78 0.3×	191 0.9×	111 1.7×	59	1.0k
Indranil Chakraborty United States	15	680 0.9×	202 0.5×	91 0.3×	105 0.5×	62 0.9×	36	815
Mathieu Riou France	5	837 1.1×	595 1.4×	186 0.7×	85 0.4×	28 0.4×	8	1.1k
Robinson E. Pino United States	19	1.2k 1.6×	124 0.3×	231 0.9×	628 2.9×	84 1.3×	44	1.4k
Roberto Carboni Italy	13	953 1.2×	145 0.3×	243 0.9×	436 2.0×	91 1.4×	16	1.0k
Henry O. Sillin Japan	7	527 0.7×	270 0.6×	282 1.1×	186 0.9×	29 0.4×	7	586
Irina Kataeva Japan	13	645 0.8×	150 0.4×	95 0.4×	238 1.1×	46 0.7×	25	740
Adrian Diaz‐Alvarez Japan	13	522 0.7×	260 0.6×	276 1.0×	151 0.7×	22 0.3×	16	575
Ligang Gao United States	16	1.1k 1.3×	144 0.3×	133 0.5×	420 2.0×	162 2.5×	33	1.1k

Countries citing papers authored by Jong Hoon Shin

Since Specialization

Citations

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

Fields of papers citing papers by Jong Hoon Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong Hoon Shin. 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 Jong Hoon Shin. The network helps show where Jong Hoon Shin may publish in the future.

Co-authorship network of co-authors of Jong Hoon Shin

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

All Works

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16 of 16 papers shown

Moon, Ji‐Won, Dong‐Hoon Shin, Hae Jin Kim, et al.. (2024). Enhancing Uniformity, Read Voltage Margin, and Retention in Three-Dimensional and Self-Rectifying Vertical Pt/Ta₂O₅/Al₂O₃/TiN Memristors. ACS Applied Materials & Interfaces. 16(47). 65046–65057. 3 indexed citations

Ye, Kun Hee, Tae Kyun Kim, Jong Hoon Shin, et al.. (2023). Enhancing the Crystallization and Properties of the SrRuO₃ Electrode Film Grown by Atomic-Layer-Deposited SrO and Pulsed-Chemical Vapor-Deposited RuO₂ through Al Substitution. ACS Applied Electronic Materials. 5(8). 4187–4197. 1 indexed citations

Kim, Min Seok, Jong Hoon Shin, & Choong Seon Hong. (2022). Network Intrusion Detection System using 2D Anomaly Detection. 1–4. 4 indexed citations

Shin, Jong Hoon, et al.. (2021). Distilling Knowledge in Federated Learning. 196–201. 5 indexed citations

Nam, Ga Eun, Chan Mi Park, Sang Jo Lee, et al.. (2020). Associations of Physical Activity and Sitting Time with Serum Vitamin D Status in Korean Adults: Results from the 2014 Korea National Health and Nutrition Examination Survey. Korean Journal of Family Practice. 10(2). 123–128. 3 indexed citations

Shin, Jong Hoon, et al.. (2020). IOTA: a 1.7‐TOP/J inference processor for binary convolutional neural networks with 4.7 K LUTs in a tiny FPGA. Electronics Letters. 56(20). 1041–1044. 3 indexed citations

Moon, J. W., Wen Ma, Jong Hoon Shin, et al.. (2019). Temporal data classification and forecasting using a memristor-based reservoir computing system. Nature Electronics. 2(10). 480–487. 485 indexed citations breakdown →

Jeong, YeonJoo, Jihang Lee, J. W. Moon, Jong Hoon Shin, & Wei Lü. (2018). K-means Data Clustering with Memristor Networks. Nano Letters. 18(7). 4447–4453. 88 indexed citations

Shin, Jong Hoon, et al.. (2018). Hardware Acceleration of Simulated Annealing of Spin Glass by RRAM Crossbar Array. 3.3.1–3.3.4. 34 indexed citations

10.

Shin, Jong Hoon, et al.. (2018). Self-Limited and Forming-Free CBRAM Device With Double Al₂O₃ ALD Layers. IEEE Electron Device Letters. 39(10). 1512–1515. 21 indexed citations

11.

Zidan, Mohammed A., YeonJoo Jeong, Jong Hoon Shin, et al.. (2017). Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing. 4(4). 698–710. 28 indexed citations

12.

Choi, Shinhyun, Jong Hoon Shin, Jihang Lee, Patrick Sheridan, & Wei Lü. (2017). Experimental Demonstration of Feature Extraction and Dimensionality Reduction Using Memristor Networks. Nano Letters. 17(5). 3113–3118. 155 indexed citations

13.

Kim, Yong Hyun, et al.. (2015). Temperature-dependent hall measurement of AlGaN/GaN heterostructures on Si substrates. Journal of the Korean Physical Society. 66(1). 61–64. 22 indexed citations

14.

Han, Moonsup, et al.. (2013). High-resolution X-ray photoemission study of photo-grown Ga2O3 in GaN/AlGaN/GaN heterostructures on Si substrates. Journal of the Korean Physical Society. 63(12). 2314–2318. 3 indexed citations

15.

Shin, Jong Hoon, et al.. (2012). Calculation of strain images of a breast‐mimicking phantom from 3D CT image data. Medical Physics. 39(9). 5469–5478. 8 indexed citations

16.

Shin, Jong Hoon, et al.. (2012). Gate metal induced reduction of surface donor states of AlGaN/GaN heterostructure on Si-substrate investigated by electroreflectance spectroscopy. Applied Physics Letters. 100(11). 16 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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