Joon‐Kyu Han

1.9k total citations
104 papers, 1.4k citations indexed

About

Joon‐Kyu Han is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Joon‐Kyu Han has authored 104 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Electrical and Electronic Engineering, 26 papers in Cellular and Molecular Neuroscience and 23 papers in Artificial Intelligence. Recurrent topics in Joon‐Kyu Han's work include Advanced Memory and Neural Computing (74 papers), Ferroelectric and Negative Capacitance Devices (29 papers) and Semiconductor materials and devices (27 papers). Joon‐Kyu Han is often cited by papers focused on Advanced Memory and Neural Computing (74 papers), Ferroelectric and Negative Capacitance Devices (29 papers) and Semiconductor materials and devices (27 papers). Joon‐Kyu Han collaborates with scholars based in South Korea, United States and Argentina. Joon‐Kyu Han's co-authors include Yang‐Kyu Choi, Ji‐Man Yu, Seong‐Yun Yun, Seung‐Bae Jeon, Weon‐Guk Kim, Sangwon Lee, Il‐Woong Tcho, Myung‐Su Kim, Daewon Kim and Sang-Jae Park and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Joon‐Kyu Han

92 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon‐Kyu Han South Korea 19 1.1k 456 373 356 314 104 1.4k
Yijun Li China 17 1.1k 1.0× 288 0.6× 374 1.0× 207 0.6× 198 0.6× 39 1.6k
Ji‐Man Yu South Korea 15 903 0.8× 223 0.5× 336 0.9× 218 0.6× 128 0.4× 62 1.0k
Zhong Sun China 18 1.2k 1.1× 97 0.2× 404 1.1× 158 0.4× 166 0.5× 48 1.4k
Tianqing Wan China 15 1.3k 1.2× 184 0.4× 486 1.3× 173 0.5× 223 0.7× 22 1.4k
Zuheng Wu China 21 2.0k 1.8× 181 0.4× 889 2.4× 482 1.4× 336 1.1× 78 2.1k
Min‐Kyu Kim South Korea 20 1.9k 1.7× 185 0.4× 621 1.7× 125 0.4× 306 1.0× 47 2.0k
Beom Jin Kim South Korea 10 745 0.7× 221 0.5× 266 0.7× 106 0.3× 154 0.5× 17 1000
Jinsu Yoon South Korea 15 859 0.8× 477 1.0× 281 0.8× 123 0.3× 240 0.8× 43 1.2k
Chunmeng Dou China 19 1.2k 1.1× 158 0.3× 306 0.8× 101 0.3× 299 1.0× 75 1.4k
Hea‐Lim Park South Korea 20 1.8k 1.6× 405 0.9× 944 2.5× 135 0.4× 723 2.3× 53 2.0k

Countries citing papers authored by Joon‐Kyu Han

Since Specialization
Citations

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

Fields of papers citing papers by Joon‐Kyu Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon‐Kyu Han. 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 Joon‐Kyu Han. The network helps show where Joon‐Kyu Han may publish in the future.

Co-authorship network of co-authors of Joon‐Kyu Han

This figure shows the co-authorship network connecting the top 25 collaborators of Joon‐Kyu Han. A scholar is included among the top collaborators of Joon‐Kyu Han 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 Joon‐Kyu Han. Joon‐Kyu Han 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.
Han, Joon‐Kyu, et al.. (2025). An Analysis of Components and Enhancement Strategies for Advancing Memristive Neural Networks. Advanced Materials. 37(8). e2412549–e2412549. 4 indexed citations
2.
Kim, Minseo, et al.. (2025). Advancing device-based computing by simplifying circuit complexity. Device. 3(4). 100720–100720. 3 indexed citations
4.
Han, Joon‐Kyu, Jun‐Young Park, Shania Rehman, et al.. (2025). Highly durable and energy‐efficient probabilistic bits based on h‐BN/SnS2 interface for integer factorization. InfoMat. 7(7).
5.
Jang, Yoon Ho, Janguk Han, Jeong Woo Jeon, et al.. (2024). 2Memristor‐1Capacitor Integrated Temporal Kernel for High‐Dimensional Data Mapping. Small. 20(25). e2306585–e2306585. 5 indexed citations
6.
Woo, Kyung Seok, et al.. (2024). A ternary gate-connected threshold switching thin-film transistor. Applied Physics Letters. 124(15). 4 indexed citations
7.
Shin, Dong‐Hoon, Soo Hyung Lee, Yoon Ho Jang, et al.. (2024). Hyperplane tree-based data mining with a multi-functional memristive crossbar array. Materials Horizons. 11(23). 5946–5959. 1 indexed citations
8.
Lee, Jae Hoon, Yong-Hee Lee, Joon‐Kyu Han, et al.. (2024). Gate Engineering Effect in Ferroelectric Field‐Effect Transistors with Al‐Doped HfO2 Thin Film and Amorphous Indium‐Gallium‐Zinc‐Oxide Channel. Advanced Electronic Materials. 11(3). 3 indexed citations
9.
Yun, Seong‐Yun, et al.. (2024). Spike-based rotation detection using a self-powered triboelectric sensor with mimicry of a vestibular system. Nano Energy. 132. 110393–110393. 3 indexed citations
10.
Lee, Soo Hyung, Yoon Ho Jang, Taegyun Park, et al.. (2024). Heterogeneous density-based clustering with a dual-functional memristive array. Materials Horizons. 11(18). 4493–4506. 4 indexed citations
11.
Jang, Yoon Ho, et al.. (2024). Memristive Crossbar Array‐Based Probabilistic Graph Modeling. Advanced Materials. 36(36). e2403904–e2403904. 5 indexed citations
12.
Jang, Yoon Ho, Janguk Han, Yong-Hee Lee, et al.. (2024). High-Dimensional Physical Reservoir with Back-End-of-Line-Compatible Tin Monoxide Thin-Film Transistor. ACS Applied Materials & Interfaces. 16(32). 42884–42893. 3 indexed citations
13.
Yun, Seong‐Yun, et al.. (2024). Single Transistor Latch Near 1 V With Asymmetric Biasing in a MOSFET. IEEE Transactions on Electron Devices. 71(11). 6539–6543.
14.
Lee, Jung Woo, Joon‐Kyu Han, Seungil Kim, et al.. (2024). Vertically integrated security devices with physically unclonable function and random number generation. Nano Research. 18(1). 94907045–94907045.
15.
Yun, Seong‐Yun, Y. C. Chung, Joon‐Kyu Han, Sang‐Won Lee, & Yang‐Kyu Choi. (2024). Resistive Coupling of Bistable Resistor-Based Oscillators for Oscillatory Neural Network. IEEE Transactions on Electron Devices. 72(1). 494–499. 1 indexed citations
16.
Jang, Yoon Ho, Joon‐Kyu Han, & Cheol Seong Hwang. (2024). A review of memristive reservoir computing for temporal data processing and sensing. 1(1). 7 indexed citations
17.
Lee, Soo Hyung, Yoon Ho Jang, Taegyun Park, et al.. (2023). Parallel Density‐Based Spatial Clustering with Dual‐Functional Memristive Crossbar Array. Advanced Functional Materials. 34(8). 12 indexed citations
18.
Yu, Ji‐Man, et al.. (2023). Lowering of Schottky Barrier Height in a Vertical Pillar MOSFET by Deuterium Annealing. IEEE Electron Device Letters. 44(7). 1032–1035. 1 indexed citations
19.
Han, Joon‐Kyu, Jung Woo Lee, Seong‐Yun Yun, et al.. (2023). 3D Neuromorphic Hardware with Single Thin‐Film Transistor Synapses Over Single Thin‐Body Transistor Neurons by Monolithic Vertical Integration. Advanced Science. 10(30). e2302380–e2302380. 16 indexed citations
20.
Jang, Yoon Ho, Joon‐Kyu Han, Sangik Moon, et al.. (2023). A high-dimensional in-sensor reservoir computing system with optoelectronic memristors for high-performance neuromorphic machine vision. Materials Horizons. 11(2). 499–509. 27 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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