Hyunsu Ju

991 total citations · 1 hit paper
37 papers, 813 citations indexed

About

Hyunsu Ju is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Hyunsu Ju has authored 37 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 9 papers in Materials Chemistry and 7 papers in Polymers and Plastics. Recurrent topics in Hyunsu Ju's work include Advanced Memory and Neural Computing (17 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Neuroscience and Neural Engineering (6 papers). Hyunsu Ju is often cited by papers focused on Advanced Memory and Neural Computing (17 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Neuroscience and Neural Engineering (6 papers). Hyunsu Ju collaborates with scholars based in South Korea, United States and Egypt. Hyunsu Ju's co-authors include Jung Ah Lim, Min Kyu Yang, Brent J. Heuser, Jae‐Seung Jeong, Min Yang, Gun Hwan Kim, Ho Won Jang, Hoichang Yang, Seongil Im and Soo Jin Kim and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Hyunsu Ju

35 papers receiving 804 citations

Hit Papers

Purely self-rectifying me... 2024 2026 2024 10 20 30 40 50
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.

  1. Purely self-rectifying memristor-based passive crossbar array for artificial neural network accelerators
    2024 56 citations Seongil Im, Taeyong Eom et al. Nature Communications profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hyunsu Ju 599 251 159 153 106 37 813
Yangbin Zhu 770 1.3× 550 2.2× 175 1.1× 144 0.9× 216 2.0× 34 1.0k
Scott W. Fong 696 1.2× 599 2.4× 73 0.5× 233 1.5× 140 1.3× 20 861
Su‐in Yi 337 0.6× 486 1.9× 57 0.4× 198 1.3× 121 1.1× 32 727
Ivan Sanchez Esqueda 1.1k 1.9× 413 1.6× 92 0.6× 65 0.4× 86 0.8× 67 1.3k
Yakov Roizin 698 1.2× 179 0.7× 91 0.6× 32 0.2× 103 1.0× 82 793
M. Kund 852 1.4× 523 2.1× 139 0.9× 235 1.5× 78 0.7× 24 1.1k
Jinshun Bi 849 1.4× 332 1.3× 45 0.3× 57 0.4× 70 0.7× 122 1.0k
Feiliang Chen 363 0.6× 141 0.6× 77 0.5× 60 0.4× 175 1.7× 70 686
Benjamin Grisafe 1.0k 1.7× 430 1.7× 80 0.5× 56 0.4× 117 1.1× 35 1.1k

Countries citing papers authored by Hyunsu Ju

Since Specialization
Citations

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

Fields of papers citing papers by Hyunsu Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyunsu Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Hyunsu Ju. A scholar is included among the top collaborators of Hyunsu Ju 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 Hyunsu Ju. Hyunsu Ju 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
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Im, Seongil, Aaron Plant, Changsoon Choi, et al.. (2025). Role of Amorphous Phases in Mixed Conduction of Conjugated Regioblock Copolymers for Organic Electrochemical Synaptic Transistors. Advanced Materials. 37(45). e02133–e02133.
3.
Im, Seongil, Jae‐Seung Jeong, Taek Sung Lee, et al.. (2025). Learning hidden relationship between environment and control variables for direct control of automated greenhouse using Transformer-based model. Computers and Electronics in Agriculture. 235. 110335–110335. 1 indexed citations
4.
Jeong, Jae‐Seung, et al.. (2024). Novel approach exploring the correlation between presepsin and routine laboratory parameters using explainable artificial intelligence. Heliyon. 10(13). e33826–e33826. 2 indexed citations
5.
Im, Seongil, Taeyong Eom, Hyunsu Ju, et al.. (2024). Purely self-rectifying memristor-based passive crossbar array for artificial neural network accelerators. Nature Communications. 15(1). 129–129. 56 indexed citations breakdown →
6.
Kim, Soo Jin, Hyoung-Jun Kim, Ho Won Jang, et al.. (2023). Fibriform Organic Electrochemical Diodes with Rectifying, Complementary Logic and Transient Voltage Suppression Functions for Wearable E-Textile Embedded Circuits. ACS Nano. 17(6). 5821–5833. 14 indexed citations
7.
Jeong, Jae‐Seung, et al.. (2022). Bio-inspired electronic fingerprint PUF device with single-walled carbon nanotube network surface mediated by M13 bacteriophage template. Scientific Reports. 12(1). 20096–20096. 6 indexed citations
8.
Kim, Soo Jin, Jae‐Seung Jeong, Ho Won Jang, et al.. (2021). Dendritic Network Implementable Organic Neurofiber Transistors with Enhanced Memory Cyclic Endurance for Spatiotemporal Iterative Learning. Advanced Materials. 33(26). e2100475–e2100475. 58 indexed citations
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Ju, Hyunsu & Min Yang. (2020). Duality characteristics of bipolar and unipolar resistive switching in a Pt/SrZrO3/TiOx/Pt stack. AIP Advances. 10(6). 3 indexed citations
11.
Jeong, Doo Seok, et al.. (2019). Enhanced Reconfigurable Physical Unclonable Function Based on Stochastic Nature of Multilevel Cell RRAM. IEEE Transactions on Electron Devices. 66(4). 1717–1721. 22 indexed citations
12.
Hembram, K. P. S. S., et al.. (2019). The surface hybridization of diamond with vertical graphene: a new route to diamond electronics. Materials Horizons. 7(2). 470–476. 21 indexed citations
13.
Kang, Ji‐Hoon, Min‐Chul Park, Jin Dong Song, et al.. (2018). How do plants see the world? – UV imaging with a TiO2nanowire array by artificial photosynthesis. Nanoscale. 10(18). 8443–8450. 2 indexed citations
14.
Kim, Gun Hwan, Hyunsu Ju, Min Yang, et al.. (2017). Four‐Bits‐Per‐Cell Operation in an HfO2‐Based Resistive Switching Device. Small. 13(40). 39 indexed citations
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Yang, Min, Hyunsu Ju, Gun Hwan Kim, Jeon-Kook Lee, & Han‐Cheol Ryu. (2015). Direct evidence on Ta-Metal Phases Igniting Resistive Switching in TaOx Thin Film. Scientific Reports. 5(1). 14053–14053. 28 indexed citations
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Ju, Hyunsu, Brent J. Heuser, D. L. Abernathy, & Terrence J. Udovic. (2011). Comparison of FANS and ARCS incoherent inelastic neutron scattering measurements of hydrogen trapped at dislocations in deformed Pd. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 654(1). 522–526. 5 indexed citations
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Heuser, Brent J., Terrence J. Udovic, & Hyunsu Ju. (2008). Vibrational density of states measurement of hydrogen trapped at dislocations in deformedPdH0.0008. Physical Review B. 78(21). 12 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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