Jun‐Hyun Park

1.2k citations
39 papers · 902 · 1 hit paper · h-index 17

Impact in

Papers in

Jun‐Hyun Park

36 papers receiving 876 citations

Jun‐Hyun Park's Hit Papers

A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Finetuned EfficientNet 2022 · 177 citations
1770+1+2Years since publication50100150

Peers

Jun‐Hyun Park
Comparison fields: 5 of 104
  • Neurology 147
  • Health, Toxicology and Mutagenesis 139
  • Electrical and Electronic Engineering 459
  • Medical Terminology 2
  • Computer Vision and Pattern Recognition 133
Replace In‐Young Choi with:
In‐Young Choi South Korea
Xiaowei Xiaowei Japan
Xiaowei Yu China
Kong Russia
Bo Hua China
Mingbo Li China
Ping Gan China
Muzaffar Bashir Pakistan
Tianran Li China
Xia Zhang China
Jun‐Hyun Park relative to In‐Young Choi South Korea In‐Young Choi's profile →
Citations per field
00.5×10×20×30×44.3×
In‐Young Choi · 1×
Citations per year

Countries citing papers authored by Jun‐Hyun Park

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Hyun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun‐Hyun 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 Jun‐Hyun Park Line = papers co-authored together Jun‐Hyun Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Finetuned EfficientNet
Hit paper breakdown →
2022177
2 200898
3 201163
4 201063
5 201757
6 200852
7 201047
8 201343
9 200940
10 201331
11 201629
12 201724
13 202222
14 201022
15 201021
16 201217
17 202217
18 201112
19 202012
20 201010

About Jun‐Hyun Park

Jun‐Hyun Park is a scholar working on Electrical and Electronic Engineering, Health, Toxicology and Mutagenesis, Atmospheric Science, Computer Vision and Pattern Recognition and Materials Chemistry, having authored 39 papers that have together received 902 indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (13 papers), Semiconductor materials and devices (8 papers), Atmospheric chemistry and aerosols (8 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers), Air Quality and Health Impacts (6 papers), Silicon Nanostructures and Photoluminescence (4 papers), Silicon and Solar Cell Technologies (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Neurology (147 citations), Health, Toxicology and Mutagenesis (139 citations), Electrical and Electronic Engineering (459 citations), Medical Terminology (2 citations) and Computer Vision and Pattern Recognition (133 citations). Jun‐Hyun Park has collaborated with scholars based in South Korea, Pakistan and Saudi Arabia. Frequent co-authors include Dae Hwan Kim, Dong Myong Kim, Jae‐Mo Kang, Sangseok Yun, Ho‐Jin Lim, Zaeem Bin Babar, Anand Paul, Hasnain Ali Shah, Dong Woo Lee and Kichan Jeon. Their work appears in journals such as IEEE Electron Device Letters, Applied Physics Letters, Atmospheric Environment, Applied Sciences and IEEE Transactions on Electron Devices.

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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