Gang-Joon Yoon
- Computer Vision and Pattern Recognition top 5%
- Applied Mathematics top 5%
- Computational Mechanics top 10%
- Statistical and Nonlinear Physics top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- K.H. KwonChohong MinLance L. LittlejohnSang Min YoonW. N. EverittTobias SchreckJae‐Ho HanFrancisco Marcellán
- Topics
- Mathematical functions and polynomials (11 papers)Advanced Vision and Imaging (9 papers)Advanced Numerical Methods in Computational Mathematics (8 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Gang-Joon Yoon
47 papers receiving 391 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 149
- Applied Mathematics 144
- Computational Mechanics 95
- Statistical and Nonlinear Physics 60
- Atomic and Molecular Physics, and Optics 60
Countries citing papers authored by Gang-Joon Yoon
This map shows the geographic impact of Gang-Joon Yoon'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 Gang-Joon Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang-Joon Yoon more than expected).
Fields of papers citing papers by Gang-Joon Yoon
This network shows the impact of papers produced by Gang-Joon Yoon. 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 Gang-Joon Yoon. The network helps show where Gang-Joon Yoon may publish in the future.
Co-authorship network of co-authors of Gang-Joon Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Gang-Joon Yoon. A scholar is included among the top collaborators of Gang-Joon Yoon 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 Gang-Joon Yoon. Gang-Joon Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 39 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 7 | |
| 15 | 52 | |
| 16 | 7 | |
| 17 | 40 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | 8 |
About Gang-Joon Yoon
Gang-Joon Yoon is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics and Numerical Analysis, having authored 54 papers that have together received 417 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (11 papers), Advanced Vision and Imaging (9 papers) and Advanced Numerical Methods in Computational Mathematics (8 papers). The work is most often cited by research in Applied Mathematics (144 citations), Discrete Mathematics and Combinatorics (27 citations) and Algebra and Number Theory (38 citations). Gang-Joon Yoon has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include K.H. Kwon, Chohong Min, Lance L. Littlejohn, Sang Min Yoon, W. N. Everitt, Tobias Schreck, Jae‐Ho Han, Francisco Marcellán, Yong‐Yuk Won and Antonio G. Garcı́a. Their work appears in journals such as Journal of Computational Physics, IEEE Access and Sensors.
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.