Yong-Moo Kwon

532 total citations
51 papers, 365 citations indexed

About

Yong-Moo Kwon is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Human-Computer Interaction. According to data from OpenAlex, Yong-Moo Kwon has authored 51 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 20 papers in Control and Systems Engineering and 16 papers in Human-Computer Interaction. Recurrent topics in Yong-Moo Kwon's work include Robotics and Automated Systems (13 papers), Virtual Reality Applications and Impacts (9 papers) and Video Analysis and Summarization (8 papers). Yong-Moo Kwon is often cited by papers focused on Robotics and Automated Systems (13 papers), Virtual Reality Applications and Impacts (9 papers) and Video Analysis and Summarization (8 papers). Yong-Moo Kwon collaborates with scholars based in South Korea, Italy and Nepal. Yong-Moo Kwon's co-authors include Hyoung-Gon Kim, Sang Chul Ahn, Heedong Ko, Ig-Jae Kim, Je–Ho Lee, Sung‐Kyu Kim, Elena Ferrari, Elisa Bertino, Changhoon Park and Wonpil Yu and has published in prestigious journals such as Optics Communications, Optical Engineering and PRESENCE Virtual and Augmented Reality.

In The Last Decade

Yong-Moo Kwon

46 papers receiving 316 citations

Peers

Yong-Moo Kwon
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 159
  • Human-Computer Interaction 102
  • Control and Systems Engineering 89
  • Media Technology 80
  • Mechanical Engineering 58
Replace Chunli Wang with:
Chunli Wang China
Oliver Schreer Germany
S. Mann Canada
V. Javier Traver Spain
Zengzhao Chen China
Dushyant Kumar Singh India
Pavel Slavı́k Czechia
K. K. Biswas India
Hyong-Euk Lee South Korea
Chunli Wang China View profile →
Citations per field, relative to Yong-Moo Kwon
Yong-Moo Kwon · 1×
Citations per year, relative to Yong-Moo Kwon
Yong-Moo Kwon · 1×

Countries citing papers authored by Yong-Moo Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Yong-Moo Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong-Moo Kwon. 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 Yong-Moo Kwon. The network helps show where Yong-Moo Kwon may publish in the future.

Co-authorship network of co-authors of Yong-Moo Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Yong-Moo Kwon. A scholar is included among the top collaborators of Yong-Moo Kwon 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 Yong-Moo Kwon. Yong-Moo Kwon 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
# Work Indexed citations
1 2
2 0
3 0
4 1
5
Robot component connection mechanism using IP based permission assignment
1
6 6
7 1
8
Efficient Data Transmission Method for UPnP Based Robot Middleware
1
9
UPnP Network Bridge Architecture for Combining Different Networks
3
10 18
11 1
12 24
13 10
14 24
15 1
16 8
17 5
18 2
19 8
20 62

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

Rankless by CCL
2026