Kwangjun Ahn
Impact in
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- Metamaterials and Metasurfaces Applications
- Gold and Silver Nanoparticles Synthesis and Applications
Papers in
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- Plasmonic and Surface Plasmon Research 9
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- Advanced Clustering Algorithms Research 2
- Co-authors
- Namkyoo Park (4 shared papers)Sukmo Koo (3 shared papers)Dai‐Sik Kim (4 shared papers)Minah Seo (3 shared papers)Hyeong‐Ryeol Park (2 shared papers)Jisoo Kyoung (2 shared papers)Q‐Han Park (2 shared papers)Y. H. Ahn (2 shared papers)
- Journals
- Optics Express (3 papers)Nanotechnology (1 paper)ACS Nano (1 paper)Physical Review B (1 paper)Nano Letters (1 paper)
- Partner nations
- South KoreaUnited StatesNetherlands
In The Last Decade
Kwangjun Ahn
17 papers receiving 702 citations
Peers
Comparison fields: 5 of 59
- Electronic, Optical and Magnetic Materials 311
- Computational Mathematics 7
- Polymers and Plastics 164
- Biomedical Engineering 324
- Electrical and Electronic Engineering 419
Countries citing papers authored by Kwangjun Ahn
This map shows the geographic impact of Kwangjun Ahn'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 Kwangjun Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwangjun Ahn more than expected).
Fields of papers citing papers by Kwangjun Ahn
This network shows the impact of papers produced by Kwangjun Ahn. 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 Kwangjun Ahn. The network helps show where Kwangjun Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Kwangjun Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 324 | |
| 2 | 2014 | 88 | |
| 3 | 2014 | 87 | |
| 4 | 2010 | 43 | |
| 5 | 2013 | 42 | |
| 6 | 2018 | 38 | |
| 7 | 2011 | 27 | |
| 8 | 2008 | 21 | |
| 9 | Binary Rating Estimation with Graph Side Information | 2018 | 15 |
| 10 | 2008 | 15 | |
| 11 | 2014 | 11 | |
| 12 | 2022 | 7 | |
| 13 | 2013 | 6 | |
| 14 | SGD with shuffling: optimal rates without component convexity and large epoch requirements | 2020 | 2 |
| 15 | 2015 | 2 | |
| 16 | 2017 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 |
About Kwangjun Ahn
Kwangjun Ahn is a scholar working on Biomedical Engineering, Artificial Intelligence, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials, having authored 18 papers that have together received 731 indexed citations. Recurring topics across this work include Plasmonic and Surface Plasmon Research (9 papers), Photonic and Optical Devices (3 papers), Photonic Crystals and Applications (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Advanced Clustering Algorithms Research (2 papers), Optical Coatings and Gratings (2 papers), Face and Expression Recognition (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (311 citations), Computational Mathematics (7 citations), Polymers and Plastics (164 citations), Biomedical Engineering (324 citations) and Electrical and Electronic Engineering (419 citations). Kwangjun Ahn has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Namkyoo Park, Sukmo Koo, Dai‐Sik Kim, Minah Seo, Hyeong‐Ryeol Park, Jisoo Kyoung, Q‐Han Park, Y. H. Ahn, Hyun-Tak Kim and Bong Jun Kim. Their work appears in journals such as Optics Express, Nanotechnology, ACS Nano, Physical Review B and Nano Letters.
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.