Jun-Hyub Park

726 citations
30 papers · 548 · h-index 11

Impact in

Papers in

Jun-Hyub Park

27 papers receiving 527 citations

Peers

Jun-Hyub Park
Comparison fields: 5 of 79
  • Industrial and Manufacturing Engineering 196
  • Computer Vision and Pattern Recognition 135
  • Media Technology 45
  • Mechanical Engineering 185
  • Mechanics of Materials 90
Replace Zhenzhi He with:
Zhenzhi He China
Yong-Ju Jeon South Korea
Farshad Barazandeh Iran
I. Charles Ume United States
Qingbin Tong China
Fenghe Wu China
Yi Lü China
Shuang Mei China
S. Kurada Canada
Jun-Hyub Park relative to Zhenzhi He China Zhenzhi He's profile →
Citations per field
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Zhenzhi He · 1×
Citations per year

Countries citing papers authored by Jun-Hyub Park

Since Specialization
Citations

This map shows the geographic impact of Jun-Hyub 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-Hyub 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-Hyub Park more than expected).

Fields of papers citing papers by Jun-Hyub Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Jun-Hyub 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-Hyub Park Line = papers co-authored together Jun-Hyub Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016233
2 201336
3 201928
4 200324
5 201324
6 202123
7
Direct Duty Ratio Pulse Width Modulation Method for Matrix Converters
200820
8 201319
9 200816
10 202016
11 200816
12 200410
13 201210
14 201010
15 20149
16 20178
17 20138
18 20057
19 20096
20 20106

About Jun-Hyub Park

Jun-Hyub Park is a scholar working on Mechanical Engineering, Mechanics of Materials, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering, having authored 30 papers that have together received 548 indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (7 papers), Optical measurement and interference techniques (6 papers), Non-Destructive Testing Techniques (5 papers), Electronic Packaging and Soldering Technologies (5 papers), Metal and Thin Film Mechanics (4 papers), Fatigue and fracture mechanics (4 papers), Mechanical Engineering and Vibrations Research (4 papers) and Image Processing Techniques and Applications (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (196 citations), Computer Vision and Pattern Recognition (135 citations), Media Technology (45 citations), Mechanical Engineering (185 citations) and Mechanics of Materials (90 citations). Jun-Hyub Park has collaborated with scholars based in South Korea and United States. Frequent co-authors include Dong‐Joong Kang, Ji‐Ho Song, Kee Joo Kim, Feifei Chen, Gi‐Dong Sim, Hak‐Joo Lee, Michael D. Uchic, Paul A. Shade, Soon-Bok Lee and Joost J. Vlassak. Their work appears in journals such as International Journal of Precision Engineering and Manufacturing, Measurement Science and Technology, Journal of Micromechanics and Microengineering, Measurement and Applied Sciences.

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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