Jae-Yeal Nam
- Computer Vision and Pattern Recognition top 1%
- Safety, Risk, Reliability and Quality top 0.5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Media Technology top 5%
- Co-authors
- Byoung Chul KoKwang‐Ho CheongSeong Hoon KimSangwon KimEun‐Ju LeeSangjun KimSeong‐Hoon KimJi‐Hyun Lee
- Topics
- Video Surveillance and Tracking Methods (33 papers)Fire Detection and Safety Systems (15 papers)Advanced Image and Video Retrieval Techniques (9 papers)
- Cited by
- Safety, Risk, Reliability and QualityComputer Vision and Pattern RecognitionMedia Technology
- Journals
- Optics LettersIEEE AccessSensors
- Partner nations
- South Korea
In The Last Decade
Jae-Yeal Nam
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 1.0k
- Safety, Risk, Reliability and Quality 571
- Artificial Intelligence 162
- Electrical and Electronic Engineering 146
- Media Technology 126
Countries citing papers authored by Jae-Yeal Nam
This map shows the geographic impact of Jae-Yeal Nam'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 Jae-Yeal Nam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae-Yeal Nam more than expected).
Fields of papers citing papers by Jae-Yeal Nam
This network shows the impact of papers produced by Jae-Yeal Nam. 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 Jae-Yeal Nam. The network helps show where Jae-Yeal Nam may publish in the future.
Co-authorship network of co-authors of Jae-Yeal Nam
This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Yeal Nam. A scholar is included among the top collaborators of Jae-Yeal Nam 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 Jae-Yeal Nam. Jae-Yeal Nam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 30 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 15 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 63 | |
| 12 | 9 | |
| 13 | 104 | |
| 14 | 3 | |
| 15 | Medical Image Retrieval based on Multi-class SVM and Correlated Categories Vector | 1 |
| 16 | 26 | |
| 17 | 285 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 145 |
About Jae-Yeal Nam
Jae-Yeal Nam is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Media Technology, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (33 papers), Fire Detection and Safety Systems (15 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (571 citations), Computer Vision and Pattern Recognition (1.0k citations) and Media Technology (126 citations). Jae-Yeal Nam has collaborated with scholars based in South Korea. Frequent co-authors include Byoung Chul Ko, Kwang‐Ho Cheong, Seong Hoon Kim, Sangwon Kim, Eun‐Ju Lee, Sangjun Kim, Seong‐Hoon Kim, Ji‐Hyun Lee, Joon Young Kwak and Jihun Jung. Their work appears in journals such as Optics Letters, 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.