Sung Joon Ahn
- Materials Chemistry top 5%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Wolfgang RauhHans‐Jürgen WarneckeJoung Real AhnDongmok WhangCheol‐Woong YangYamujin JangJae‐Hyun LeeMinho Park
- Topics
- Image and Object Detection Techniques (11 papers)Graphene research and applications (8 papers)Image Processing and 3D Reconstruction (7 papers)
- Partner nations
- South KoreaGermanyJapan
In The Last Decade
Sung Joon Ahn
23 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Materials Chemistry 812
- Computer Vision and Pattern Recognition 429
- Electrical and Electronic Engineering 418
- Biomedical Engineering 290
- Atomic and Molecular Physics, and Optics 161
Countries citing papers authored by Sung Joon Ahn
This map shows the geographic impact of Sung Joon 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 Sung Joon Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Joon Ahn more than expected).
Fields of papers citing papers by Sung Joon Ahn
This network shows the impact of papers produced by Sung Joon 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 Sung Joon Ahn. The network helps show where Sung Joon Ahn may publish in the future.
Co-authorship network of co-authors of Sung Joon Ahn
This figure shows the co-authorship network connecting the top 25 collaborators of Sung Joon Ahn. A scholar is included among the top collaborators of Sung Joon Ahn 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 Sung Joon Ahn. Sung Joon Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 45 | |
| 6 | 0 | |
| 7 | 18 | |
| 8 | 2 | |
| 9 | Extraction of Geometric Primitives from Point Cloud Data | 5 |
| 10 | Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space (Lecture Notes in Computer Science) | 3 |
| 11 | 109 | |
| 12 | 23 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 76 | |
| 16 | 50 | |
| 17 | 285 | |
| 18 | Geometric Fitting of Line, Plane, Circle, Sphere, and Ellipse | 6 |
| 19 | 25 | |
| 20 | 16 |
About Sung Joon Ahn
Sung Joon Ahn is a scholar working on Computer Vision and Pattern Recognition, Geology and Materials Chemistry, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image and Object Detection Techniques (11 papers), Graphene research and applications (8 papers) and Image Processing and 3D Reconstruction (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (429 citations), Materials Chemistry (812 citations) and Geology (82 citations). Sung Joon Ahn has collaborated with scholars based in South Korea, Germany and Japan. Frequent co-authors include Wolfgang Rauh, Hans‐Jürgen Warnecke, Joung Real Ahn, Dongmok Whang, Cheol‐Woong Yang, Yamujin Jang, Jae‐Hyun Lee, Minho Park, Byoung Lyong Choi and Byung‐Sung Kim. Their work appears in journals such as Science, Journal of the American Chemical Society and ACS Nano.
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.