Minsu Jang

56 papers receiving 728 citations

Peers

Minsu Jang
Comparison fields: 5 of 89
  • Human-Computer Interaction 109
  • Computer Vision and Pattern Recognition 229
  • Electronic, Optical and Magnetic Materials 171
  • Control and Systems Engineering 166
  • Nuclear Energy and Engineering 3
Replace Yuxiao Zhou with:
Yuxiao Zhou China
Rob Gorbet Canada
William Yerazunis United States
Jinwook Kim South Korea
Almas Shintemirov Kazakhstan
Mohsen Kaboli Germany
Ho‐Jin Lee South Korea
Tetsushi Ikeda Japan
John Barnwell United States
Minsu Jang relative to Yuxiao Zhou China Yuxiao Zhou's profile →
Citations per field
00.5×1.5×1.8×
Yuxiao Zhou · 1×
Citations per year

Countries citing papers authored by Minsu Jang

Since Specialization
Citations

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

Fields of papers citing papers by Minsu Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020185
2 202057
3 201843
4 202139
5 202039
6 202033
7 202126
8 202124
9 201724
10 201923
11 202122
12 202221
13 200918
14 202017
15 202015
16 202011
17 200810
18 20059
19 20149
20 20028

About Minsu Jang

Minsu Jang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Social Psychology and Information Systems, having authored 64 papers that have together received 749 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (13 papers), Robotics and Automated Systems (13 papers), Human Pose and Action Recognition (10 papers), Service-Oriented Architecture and Web Services (8 papers), AI in Service Interactions (8 papers), Electromagnetic wave absorption materials (7 papers), Robotic Path Planning Algorithms (6 papers) and Advanced Antenna and Metasurface Technologies (5 papers). The work is most often cited by research in Human-Computer Interaction (109 citations), Computer Vision and Pattern Recognition (229 citations), Electronic, Optical and Magnetic Materials (171 citations), Control and Systems Engineering (166 citations) and Nuclear Energy and Engineering (3 citations). Minsu Jang has collaborated with scholars based in South Korea, United States and New Zealand. Frequent co-authors include Chun‐Gon Kim, Jae-Hun Choi, Jaehong Kim, Youngwoo Yoon, Jaeyeon Lee, Geehyuk Lee, Jaehong Kim, Joo-Haeng Lee, Young‐Woo Nam and Jaeyeon Lee. Their work appears in journals such as Composite Structures, International Journal of Social Robotics, The International Journal of Robotics Research, Robotics and Environmental Technology.

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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