Janguk Han

616 total citations
29 papers, 431 citations indexed

About

Janguk Han is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Janguk Han has authored 29 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 18 papers in Artificial Intelligence and 14 papers in Cognitive Neuroscience. Recurrent topics in Janguk Han's work include Advanced Memory and Neural Computing (28 papers), Neural dynamics and brain function (14 papers) and Neural Networks and Reservoir Computing (13 papers). Janguk Han is often cited by papers focused on Advanced Memory and Neural Computing (28 papers), Neural dynamics and brain function (14 papers) and Neural Networks and Reservoir Computing (13 papers). Janguk Han collaborates with scholars based in South Korea, Argentina and United States. Janguk Han's co-authors include Cheol Seong Hwang, Kyung Seok Woo, Yoon Ho Jang, Woohyun Kim, Jaehyun Kim, Joon‐Kyu Han, Soo Hyung Lee, Jihun Kim, Jeong Woo Jeon and Suhas Kumar and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Janguk Han

25 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Janguk Han South Korea	10	395	180	120	100	39	29	431
Jaehyun Kim South Korea	8	309 0.8×	100 0.6×	88 0.7×	106 1.1×	26 0.7×	15	367
Kyung Seok Woo South Korea	14	518 1.3×	171 0.9×	159 1.3×	112 1.1×	72 1.8×	26	562
Raqibul Hasan United States	16	585 1.5×	158 0.9×	253 2.1×	100 1.0×	28 0.7×	36	650
Yoon Ho Jang South Korea	11	381 1.0×	186 1.0×	95 0.8×	101 1.0×	12 0.3×	34	440
Dabin Wu China	4	578 1.5×	137 0.8×	163 1.4×	73 0.7×	32 0.8×	7	636
Thomas Dalgaty France	13	400 1.0×	142 0.8×	125 1.0×	131 1.3×	21 0.5×	26	468
Guanrui Wang China	9	446 1.1×	153 0.8×	135 1.1×	131 1.3×	13 0.3×	17	554
Siyan Lin China	7	348 0.9×	57 0.3×	120 1.0×	70 0.7×	66 1.7×	19	432
Hanchan Song South Korea	12	456 1.2×	84 0.5×	214 1.8×	71 0.7×	24 0.6×	27	480
Cory Merkel United States	12	366 0.9×	202 1.1×	108 0.9×	123 1.2×	20 0.5×	47	439

Countries citing papers authored by Janguk Han

Since Specialization

Citations

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

Fields of papers citing papers by Janguk Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janguk Han

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

All Works

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20 of 20 papers shown

Ghenzi, N., Byeong‐Su Kim, Jung‐Kyu Lee, et al.. (2025). Vertical Self‐Rectifying Memristive Arrays for Page‐Wise Parallel Logic and Arithmetic Processing. Advanced Materials. 38(8). e14099–e14099.

Kim, Sungho, Dong‐Hoon Shin, Wonho Choi, et al.. (2025). Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array. Advanced Materials. 38(3). e10635–e10635.

Jang, Yoon Ho, Janguk Han, Soo Hyung Lee, & Cheol Seong Hwang. (2025). Next-generation graph computing with electric current-based and quantum-inspired approaches. Nature Communications. 16(1). 8029–8029.

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

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

Lee, Keonuk, Janguk Han, Dong Hoon Shin, et al.. (2024). Thresholding Computing with Heterogeneous Integration of Memristive Kernel with Metal‐Oxide‐Semiconductor Capacitor for Temporal Data Analysis. Advanced Materials. 36(50). e2410432–e2410432. 4 indexed citations

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

Woo, Kyung Seok, N. Ghenzi, A. Alec Talin, et al.. (2024). Memristors with Tunable Volatility for Reconfigurable Neuromorphic Computing. ACS Nano. 18(26). 17007–17017. 27 indexed citations

Jang, Yoon Ho, et al.. (2024). Memristive Crossbar Array‐Based Probabilistic Graph Modeling. Advanced Materials. 36(36). e2403904–e2403904. 5 indexed citations

10.

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

11.

Woo, Kyung Seok, et al.. (2024). Tunable stochastic memristors for energy-efficient encryption and computing. Nature Communications. 15(1). 3245–3245. 39 indexed citations

12.

Lee, Soo Hyung, Yoon Ho Jang, Jaehyun Kim, et al.. (2024). Implementation of Bayesian networks and Bayesian inference using a Cu_0.1Te_0.9/HfO₂/Pt threshold switching memristor. Nanoscale Advances. 6(11). 2892–2902. 1 indexed citations

13.

Lee, Soo Hyung, N. Ghenzi, Yoon Ho Jang, et al.. (2024). In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive Array. Advanced Materials. 36(40). e2410191–e2410191. 4 indexed citations

14.

Maeng, Hoyoung, Joon‐Kyu Han, Janguk Han, et al.. (2024). Homeothermic P‐Bit Computing Hardware with Stochastic Operations Beyond Limit of Non‐Stochastic Materials. Advanced Functional Materials. 35(12). 3 indexed citations

15.

Kim, Jin Hong, Hyun Kim, Dong‐Hoon Shin, et al.. (2024). A stochastic photo-responsive memristive neuron for an in-sensor visual system based on a restricted Boltzmann machine. Nanoscale Horizons. 9(12). 2248–2258. 1 indexed citations

16.

Jeon, Jeong Woo, Yoon Ho Jang, Soo Hyung Lee, et al.. (2024). Vertically Stackable Ovonic Threshold Switch Oscillator Using Atomic Layer Deposited Ge_0.6Se_0.4 Film for High-Density Artificial Neural Networks. ACS Applied Materials & Interfaces. 16(12). 15032–15042. 5 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.

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

19.

Jang, Yoon Ho, Woohyun Kim, Jihun Kim, et al.. (2021). Time-varying data processing with nonvolatile memristor-based temporal kernel. Nature Communications. 12(1). 5727–5727. 73 indexed citations

20.

Woo, Kyung Seok, et al.. (2021). A High‐Speed True Random Number Generator Based on a Cu_xTe_1−x Diffusive Memristor. Advanced Intelligent Systems. 3(7). 1 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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