See‐On Park

553 total citations · 1 hit paper
11 papers, 398 citations indexed

About

See‐On Park is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, See‐On Park has authored 11 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in See‐On Park's work include Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Neuroscience and Neural Engineering (4 papers). See‐On Park is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Neuroscience and Neural Engineering (4 papers). See‐On Park collaborates with scholars based in South Korea and United States. See‐On Park's co-authors include Shinhyun Choi, Hakcheon Jeong, Jongyong Park, Taehoon Park, Sang Hyun Choi, Beomjin Kim, Donghoon Kim, Myung‐Su Kim, Yang‐Kyu Choi and Jun-Kyu Park and has published in prestigious journals such as Nature, Nature Communications and ACS Nano.

In The Last Decade

See‐On Park

11 papers receiving 393 citations

Hit Papers

Experimental demonstration of highly reliable dynamic mem... 2022 2026 2023 2024 2022 50 100 150 200
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. Experimental demonstration of highly reliable dynamic memristor for artificial neuron and neuromorphic computing
    2022 226 citations See‐On Park, Hakcheon Jeong et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
See‐On Park South Korea 6 384 161 100 76 60 11 398
Hakcheon Jeong South Korea 7 374 1.0× 138 0.9× 94 0.9× 70 0.9× 54 0.9× 14 392
Yixuan Jiao China 4 375 1.0× 187 1.2× 75 0.8× 44 0.6× 83 1.4× 6 393
Hanchan Song South Korea 12 456 1.2× 214 1.3× 84 0.8× 71 0.9× 51 0.8× 27 480
Shanwu Ke China 9 428 1.1× 194 1.2× 45 0.5× 52 0.7× 105 1.8× 17 454
Xuegang Duan China 7 296 0.8× 134 0.8× 37 0.4× 40 0.5× 67 1.1× 8 320
S. Bianchi Italy 11 353 0.9× 137 0.9× 106 1.1× 122 1.6× 26 0.4× 21 396
Xiaolong Zou China 7 294 0.8× 167 1.0× 87 0.9× 146 1.9× 40 0.7× 12 384
Jaehyun Kim South Korea 8 309 0.8× 88 0.5× 100 1.0× 106 1.4× 40 0.7× 15 367
Thomas Dalgaty France 13 400 1.0× 125 0.8× 142 1.4× 131 1.7× 27 0.5× 26 468

Countries citing papers authored by See‐On Park

Since Specialization
Citations

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

Fields of papers citing papers by See‐On Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by See‐On Park. 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 See‐On Park. The network helps show where See‐On Park may publish in the future.

Co-authorship network of co-authors of See‐On Park

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

All Works

11 of 11 papers shown
1.
Park, See‐On, et al.. (2025). Experimental demonstration of third-order memristor-based artificial sensory nervous system for neuro-inspired robotics. Nature Communications. 16(1). 5754–5754. 2 indexed citations
2.
Jeong, Hakcheon, See‐On Park, Hanwool Jeong, et al.. (2025). Self-supervised video processing with self-calibration on an analogue computing platform based on a selector-less memristor array. Nature Electronics. 5 indexed citations
3.
Lee, Jung Woo, See‐On Park, Seong‐Yun Yun, et al.. (2025). Decoupling Strategy to Separate Training and Inference with Three-Dimensional Neuromorphic Hardware Composed of Neurons and Hybrid Synapses. ACS Nano. 19(13). 13063–13072. 1 indexed citations
4.
Kwon, Choah, See‐On Park, Hakcheon Jeong, et al.. (2024). Tunable ion energy barrier modulation through aliovalent halide doping for reliable and dynamic memristive neuromorphic systems. Science Advances. 10(23). eadm7221–eadm7221. 9 indexed citations
5.
Park, See‐On, Sujin Sung, Hakcheon Jeong, et al.. (2024). Phase-change memory via a phase-changeable self-confined nano-filament. Nature. 628(8007). 293–298. 34 indexed citations
6.
7.
Park, Taehoon, et al.. (2023). The effect of Schottky barrier modulation on conduction and failure mechanisms of an Ag/WOx/p-Si based memristor. Journal of Applied Physics. 133(7). 5 indexed citations
8.
9.
Park, See‐On, et al.. (2022). Experimental demonstration of highly reliable dynamic memristor for artificial neuron and neuromorphic computing. Nature Communications. 13(1). 2888–2888. 226 indexed citations breakdown →
10.
Kim, Beomjin, Donghoon Kim, Jun-Kyu Park, et al.. (2022). The gate injection-based field-effect synapse transistor with linear conductance update for online training. Nature Communications. 13(1). 6431–6431. 51 indexed citations
11.
Choi, Sang Hyun, et al.. (2022). Reliable multilevel memristive neuromorphic devices based on amorphous matrix via quasi-1D filament confinement and buffer layer. Science Advances. 8(3). eabj7866–eabj7866. 46 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hakcheon Jeong Breakdown of academic impact, for papers by Yixuan Jiao Breakdown of academic impact, for papers by Hanchan Song Breakdown of academic impact, for papers by Shanwu Ke Breakdown of academic impact, for papers by Xuegang Duan Breakdown of academic impact, for papers by S. Bianchi Breakdown of academic impact, for papers by Xiaolong Zou Breakdown of academic impact, for papers by Jaehyun Kim Breakdown of academic impact, for papers by Thomas Dalgaty
Rankless by CCL
2026