Moonsoo Ra
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
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- Image and Object Detection Techniques 3
- Face and Expression Recognition 3
- Advanced Vision and Imaging 3
- Video Surveillance and Tracking Methods 3
- Robotic Path Planning Algorithms 2
-
- Biometric Identification and Security 3
- Co-authors
- Whoi-Yul Kim (17 shared papers)Bum Jun Park (1 shared paper)Joosub Lee (1 shared paper)Chan Woo Lee (1 shared paper)Jong‐Man Kim (1 shared paper)Sang Hwa Lee (1 shared paper)Jaeyong Kim (1 shared paper)Mannan Saeed Muhammad (4 shared papers)
- Journals
- IEEE Access (4 papers)RSC Advances (2 papers)Nature Communications (1 paper)IEEE Signal Processing Letters (1 paper)Cancers (1 paper)
- Partner nations
- South KoreaPakistanUnited States
In The Last Decade
Moonsoo Ra
21 papers receiving 516 citations
Peers
Comparison fields: 5 of 95
- Microbiology 70
- Computer Vision and Pattern Recognition 142
- Organic Chemistry 145
- Safety Research 41
- Biomaterials 58
Countries citing papers authored by Moonsoo Ra
This map shows the geographic impact of Moonsoo Ra'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 Moonsoo Ra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moonsoo Ra more than expected).
Fields of papers citing papers by Moonsoo Ra
This network shows the impact of papers produced by Moonsoo Ra. 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 Moonsoo Ra. The network helps show where Moonsoo Ra may publish in the future.
Co-authors
The 25 scholars most cited alongside Moonsoo Ra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 243 | |
| 2 | 2017 | 55 | |
| 3 | 2019 | 37 | |
| 4 | 2020 | 32 | |
| 5 | 2013 | 24 | |
| 6 | 2018 | 23 | |
| 7 | 2013 | 18 | |
| 8 | 2014 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2019 | 8 | |
| 12 | 2014 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2014 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2013 | 3 | |
| 20 | 2024 | 1 |
About Moonsoo Ra
Moonsoo Ra is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Biomedical Engineering, Materials Chemistry and Automotive Engineering, having authored 22 papers that have together received 523 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (3 papers), Face and Expression Recognition (3 papers), Biometric Identification and Security (3 papers), Advanced Vision and Imaging (3 papers), Video Surveillance and Tracking Methods (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Robotic Path Planning Algorithms (2 papers) and X-ray Diffraction in Crystallography (2 papers). The work is most often cited by research in Microbiology (70 citations), Computer Vision and Pattern Recognition (142 citations), Organic Chemistry (145 citations), Safety Research (41 citations) and Biomaterials (58 citations). Moonsoo Ra has collaborated with scholars based in South Korea, Pakistan and United States. Frequent co-authors include Whoi-Yul Kim, Bum Jun Park, Joosub Lee, Chan Woo Lee, Jong‐Man Kim, Sang Hwa Lee, Jaeyong Kim, Mannan Saeed Muhammad, Jae Kyu Suhr and Ho Gi Jung. Their work appears in journals such as IEEE Access, RSC Advances, Nature Communications, IEEE Signal Processing Letters and Cancers.
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.