Jongyong Park

10 papers receiving 434 citations

Jongyong Park's Hit Papers

Experimental demonstration of highly reliable dynamic memristor for artificial neuron and neuromorphic computing 2022 · 246 citations
2460+1+2Years since publication50100150200

Peers

Jongyong Park
Comparison fields: 5 of 59
  • Cellular and Molecular Neuroscience 98
  • Global and Planetary Change 117
  • Electrical and Electronic Engineering 258
  • Ecology, Evolution, Behavior and Systematics 75
  • Cognitive Neuroscience 56
Replace Jiaqi Dong with:
Jiaqi Dong China
Lennart Schmidt Germany
Ziwen Wang China
Konrad Schönleber Germany
Wouter Dierckx Belgium
Han Yan China
Mirko Luković Switzerland
Qingqing Xu China
Zhiguo Fan China
Jongyong Park relative to Jiaqi Dong China Jiaqi Dong's profile →
Citations per field
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Jiaqi Dong · 1×
Citations per year

Countries citing papers authored by Jongyong Park

Since Specialization
Citations

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

Fields of papers citing papers by Jongyong Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Jongyong Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jongyong Park Line = papers co-authored together Jongyong Park links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Experimental demonstration of highly reliable dynamic memristor for artificial neuron and neuromorphic computing
Hit paper breakdown →
2022246
2 2013129
3 200826
4 200514
5 202212
6 20075
7 20074
8 20073
9 20183
10
A Study On the Collision Avoidance System of a Ship Considering the Effects of Speed Dependent Coefficients
20101
11 20060
12 20060

About Jongyong Park

Jongyong Park is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Media Technology, Ocean Engineering and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 443 indexed citations. Recurring topics across this work include Photorefractive and Nonlinear Optics (6 papers), Advanced Optical Imaging Technologies (4 papers), Photonic and Optical Devices (3 papers), Maritime Navigation and Safety (2 papers), Ship Hydrodynamics and Maneuverability (2 papers), Advanced Memory and Neural Computing (2 papers), Intellectual Property and Patents (1 paper) and Marine and Coastal Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (98 citations), Global and Planetary Change (117 citations), Electrical and Electronic Engineering (258 citations), Ecology, Evolution, Behavior and Systematics (75 citations) and Cognitive Neuroscience (56 citations). Jongyong Park has collaborated with scholars based in South Korea. Frequent co-authors include Hakcheon Jeong, See‐On Park, Shinhyun Choi, Jiyoung Yoo, Hung-Soo Kim, Tae‐Woong Kim, Hakyeon Lee, Yongtae Park, Joo Youn Park and Euiseok Hwang. Their work appears in journals such as Japanese Journal of Applied Physics, Nature Communications, Journal of Hydro-environment Research, Technology in Society and Applied Ocean Research.

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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