Jonghyun Choi
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Computer Networks and Communications top 2%
- Biomedical Engineering top 10%
- Signal Processing top 2%
- Co-authors
- Larry S. DavisJan NeumannAmit K. Roy–ChowdhuryMahmudul HasanDacheng TaoChangxing DingJihwan BangJung-Woo Ha
- Topics
- Multimodal Machine Learning Applications (14 papers)Domain Adaptation and Few-Shot Learning (14 papers)Face and Expression Recognition (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Networks and Communications
- Journals
- Journal of NeuroscienceIEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of The Electrochemical Society
- Partner nations
- South KoreaUnited StatesBrazil
In The Last Decade
Jonghyun Choi
63 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 1.3k
- Computer Networks and Communications 557
- Biomedical Engineering 302
- Signal Processing 256
Countries citing papers authored by Jonghyun Choi
This map shows the geographic impact of Jonghyun Choi'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 Jonghyun Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonghyun Choi more than expected).
Fields of papers citing papers by Jonghyun Choi
This network shows the impact of papers produced by Jonghyun Choi. 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 Jonghyun Choi. The network helps show where Jonghyun Choi may publish in the future.
Co-authorship network of co-authors of Jonghyun Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Jonghyun Choi. A scholar is included among the top collaborators of Jonghyun Choi 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 Jonghyun Choi. Jonghyun Choi 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 | 7 | |
| 3 | 10 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 38 | |
| 11 | 23 | |
| 12 | 39 | |
| 13 | 64 | |
| 14 | 22 | |
| 15 | 66 | |
| 16 | Slab Region Localization for Text Extraction using SIFT Features | 1 |
| 17 | Character segmentation and recognition algorithm of text region in steel images | 0 |
| 18 | An Alternative Physical Plan for Korea | 1 |
| 19 | An Efficient Trinocular Rectification Method for Stereo Vision | 5 |
| 20 | Analysis of Overlay Accuracy in Digital Topographic Map and Cadastral Information Using Ortho Image map | 0 |
About Jonghyun Choi
Jonghyun Choi is a scholar working on Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Media Technology, having authored 73 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (14 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Face and Expression Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Artificial Intelligence (1.3k citations) and Computer Networks and Communications (557 citations). Jonghyun Choi has collaborated with scholars based in South Korea, United States and Brazil. Frequent co-authors include Larry S. Davis, Jan Neumann, Amit K. Roy–Chowdhury, Mahmudul Hasan, Dacheng Tao, Changxing Ding, Jihwan Bang, Jung-Woo Ha, Youngjoon Yoo and Kuk‐Jin Yoon. Their work appears in journals such as Journal of Neuroscience, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of The Electrochemical Society.
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.