Yongju Cho

452 citations
48 papers · 298 indexed · h-index 11
Topics
Advanced Vision and Imaging (8 papers)Manufacturing Process and Optimization (6 papers)Digital Transformation in Industry (6 papers)
Journals
SHILAP Revista de lepidopterologíaApplied EnergyIEEE Access

In The Last Decade

Yongju Cho

39 papers receiving 283 citations

Peers

Yongju Cho
Comparison fields: 5 of 79
  • Industrial and Manufacturing Engineering 70
  • Computer Vision and Pattern Recognition 59
  • Mechanical Engineering 44
  • Electrical and Electronic Engineering 39
  • Automotive Engineering 35
Replace Mazen Ghandour with:
Mazen Ghandour Lebanon
Johannes Fottner Germany
Jiali Zhao China
Eirini Konstantinou United Kingdom
Won‐Suk Jang South Korea
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Luciano Di Donato Italy
Huanjia Yang United Kingdom
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Yongju Cho relative to Mazen Ghandour Lebanon Mazen Ghandour's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yongju Cho

Since Specialization
Citations

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

Fields of papers citing papers by Yongju Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongju Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Yongju Cho. A scholar is included among the top collaborators of Yongju Cho 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 Yongju Cho. Yongju Cho 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
#WorkIndexed citations
1 1
2 1
3 0
4 1
5 0
6 4
7 3
8 27
9 35
10 4
11 1
12 10
13 0
14 10
15
A study on the function of Gae-Hap-Chu (開闔樞)
1
16 5
17 2
18 0
19 3
20
Quantification of Pavement Damage Reduction due to Vehicle Wandering
1

About Yongju Cho

Yongju Cho is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 48 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Manufacturing Process and Optimization (6 papers) and Digital Transformation in Industry (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (70 citations), Management Information Systems (33 citations) and Automotive Engineering (35 citations). Yongju Cho has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Seunghoon Lee, Rehan Hafiz, Young Hoon Lee, Muhammad Murtaza Khan, Jihun Cha, Kwangyeol Ryu, Sang Do Noh, Young‐Jun Son, Kyungwon Lee and Jin-Yong Park. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and IEEE Access.

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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