Minseong Park

772 total citations
29 papers, 575 citations indexed

About

Minseong Park is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Minseong Park has authored 29 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Materials Chemistry. Recurrent topics in Minseong Park's work include Advanced Memory and Neural Computing (16 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and CCD and CMOS Imaging Sensors (5 papers). Minseong Park is often cited by papers focused on Advanced Memory and Neural Computing (16 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and CCD and CMOS Imaging Sensors (5 papers). Minseong Park collaborates with scholars based in United States, South Korea and China. Minseong Park's co-authors include Kyusang Lee, Yongmin Baek, Doeon Lee, Junseok Heo, Geonwook Yoo, Hweeung Kwon, Changsu Kim, Thai Ngan, Jiyong Kim and Yong Tae Kim and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Minseong Park

26 papers receiving 559 citations

Peers

Minseong Park
Comparison fields: 5 of 59
  • Electrical and Electronic Engineering 368
  • Materials Chemistry 212
  • Biomedical Engineering 116
  • Artificial Intelligence 79
  • Cellular and Molecular Neuroscience 75
Replace Tianqi Gao with:
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Tae Joon Park United States
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Silu Guo United States
Susant Kumar Acharya South Korea
Xinnan Lin China
Yusung Kim South Korea
Weijie Wang Singapore
Pavel Salev United States
Tianqi Gao China View profile →
Citations per field, relative to Minseong Park
Minseong Park · 1×
Citations per year, relative to Minseong Park
Minseong Park · 1×

Countries citing papers authored by Minseong Park

Since Specialization
Citations

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

Fields of papers citing papers by Minseong Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minseong Park

This figure shows the co-authorship network connecting the top 25 collaborators of Minseong Park. A scholar is included among the top collaborators of Minseong 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 Minseong Park. Minseong Park 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
# Work Indexed citations
1 0
2 20
3 5
4 5
5 4
6 6
7 78
8 11
9 1
10 4
11 7
12 13
13 82
14 93
15 21
16 1
17 7
18 1
19 19
20 24

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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