Cha-Soo Jun

14 papers receiving 324 citations

Peers

Cha-Soo Jun
Comparison fields: 5 of 44
  • Industrial and Manufacturing Engineering 188
  • Computer Graphics and Computer-Aided Design 49
  • Computational Mechanics 237
  • Mechanical Engineering 176
  • Automotive Engineering 31
Replace Masatomo Inui with:
Masatomo Inui Japan
Tulga M. Ozsoy United States
Koichi MORISHIGE Japan
Wenfeng Gan China
Zezhong C. Chen Canada
Sung-Chong Chung South Korea
Hongzan Bin China
Charyar Mehdi-Souzani France
Denys Plakhotnik Belgium
Oleg Fryazinov United Kingdom
Cha-Soo Jun relative to Masatomo Inui Japan Masatomo Inui's profile →
Citations per field
00.5×1.5×
Masatomo Inui · 1×
Citations per year

Countries citing papers authored by Cha-Soo Jun

Since Specialization
Citations

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

Fields of papers citing papers by Cha-Soo Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Cha-Soo Jun, 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 Cha-Soo Jun Line = papers co-authored together Cha-Soo Jun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003199
2 200268
3 200114
4 200513
5 200910
6 20058
7 20067
8 20106
9 20005
10 20063
11 20172
12 20192
13 20242
14 20112
15 20211
16 20221
17
Torque Profile Measuring and Sensibility Evaluation of a Haptic Device
20101
18 20021
19 20171
20 20240

About Cha-Soo Jun

Cha-Soo Jun is a scholar working on Industrial and Manufacturing Engineering, Computational Mechanics, Mechanical Engineering, Automotive Engineering and Biomedical Engineering, having authored 23 papers that have together received 346 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (13 papers), Advanced Numerical Analysis Techniques (7 papers), Advanced machining processes and optimization (5 papers), Advanced Surface Polishing Techniques (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Advanced Manufacturing and Logistics Optimization (2 papers), 3D Shape Modeling and Analysis (2 papers) and Advanced Machining and Optimization Techniques (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (188 citations), Computer Graphics and Computer-Aided Design (49 citations), Computational Mechanics (237 citations), Mechanical Engineering (176 citations) and Automotive Engineering (31 citations). Cha-Soo Jun has collaborated with scholars based in South Korea and United States. Frequent co-authors include Yuan‐Shin Lee, Dong‐Soo Kim, Sehyung Park, Sung‐Hoon Ahn, Tien‐Chien Chang, Won‐Shik Chu, Deok‐Soo Kim, Kihwan Kim, Jeong-Suk Kim and Jeonghwan Jeon. Their work appears in journals such as Computer-Aided Design, International Journal of Precision Engineering and Manufacturing, International Journal of Computer Integrated Manufacturing, Journal of Zhejiang University. Science A and Computer Applications in Engineering Education.

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