Junghyun Cho
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Biomedical Engineering
- Signal Processing
- Experimental and Cognitive Psychology
- Co-authors
- Ig-Jae KimGi Pyo NamHochul HwangHeeseung ChoiHyeong‐Seok KoBongjun YeomJinwoo OhJeong Gon Son
- Topics
- Face recognition and analysis (5 papers)Face and Expression Recognition (3 papers)Video Surveillance and Tracking Methods (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionLife-span and Life-course StudiesComputer Graphics and Computer-Aided Design
- Journals
- ACS NanoSmallIEEE Access
- Partner nations
- South KoreaYemenUnited Kingdom
In The Last Decade
Junghyun Cho
19 papers receiving 148 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 95
- Artificial Intelligence 25
- Biomedical Engineering 19
- Signal Processing 14
- Experimental and Cognitive Psychology 11
Countries citing papers authored by Junghyun Cho
This map shows the geographic impact of Junghyun Cho'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 Junghyun Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junghyun Cho more than expected).
Fields of papers citing papers by Junghyun Cho
This network shows the impact of papers produced by Junghyun Cho. 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 Junghyun Cho. The network helps show where Junghyun Cho may publish in the future.
Co-authorship network of co-authors of Junghyun Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Junghyun Cho. A scholar is included among the top collaborators of Junghyun Cho 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 Junghyun Cho. Junghyun Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 43 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | 24 | |
| 17 | 11 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | Issues on supporting public cloud virtual machine provisioning and orchestration | 2 |
About Junghyun Cho
Junghyun Cho is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Instrumentation, having authored 22 papers that have together received 156 indexed citations. Recurring topics across this work include Face recognition and analysis (5 papers), Face and Expression Recognition (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (95 citations), Life-span and Life-course Studies (3 citations) and Computer Graphics and Computer-Aided Design (7 citations). Junghyun Cho has collaborated with scholars based in South Korea, Yemen and United Kingdom. Frequent co-authors include Ig-Jae Kim, Gi Pyo Nam, Hochul Hwang, Heeseung Choi, Hyeong‐Seok Ko, Bongjun Yeom, Jinwoo Oh, Jeong Gon Son, Jinhan Cho and Seung‐Won Jung. Their work appears in journals such as ACS Nano, Small and IEEE Access.
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.