Yunyoung Nam
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 5%
- Artificial Intelligence top 1%
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Seifedine KadryKi H. ChonMuhammad Attique KhanJinseok LeeBersaín A. ReyesNaveen ChilamkurtiSeungmin RhoYoungsun Kong
- Topics
- Non-Invasive Vital Sign Monitoring (28 papers)Video Surveillance and Tracking Methods (24 papers)Smart Agriculture and AI (21 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsSignal Processing
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- South KoreaPakistanUnited States
In The Last Decade
Yunyoung Nam
249 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Computer Vision and Pattern Recognition 1.2k
- Biomedical Engineering 982
- Artificial Intelligence 910
- Computer Networks and Communications 842
- Electrical and Electronic Engineering 582
Countries citing papers authored by Yunyoung Nam
This map shows the geographic impact of Yunyoung 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 Yunyoung Nam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunyoung Nam more than expected).
Fields of papers citing papers by Yunyoung Nam
This network shows the impact of papers produced by Yunyoung 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 Yunyoung Nam. The network helps show where Yunyoung Nam may publish in the future.
Co-authorship network of co-authors of Yunyoung Nam
This figure shows the co-authorship network connecting the top 25 collaborators of Yunyoung Nam. A scholar is included among the top collaborators of Yunyoung 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 Yunyoung Nam. Yunyoung 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 15 | |
| 10 | 13 | |
| 11 | 82 | |
| 12 | 71 | |
| 13 | 61 | |
| 14 | 27 | |
| 15 | 4 | |
| 16 | 20 | |
| 17 | 13 | |
| 18 | 16 | |
| 19 | 82 | |
| 20 | Human Activity Recognition using an Image Sensor and a 3-axis Accelerometer Sensor | 9 |
About Yunyoung Nam
Yunyoung Nam is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, having authored 271 papers that have together received 4.6k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (28 papers), Video Surveillance and Tracking Methods (24 papers) and Smart Agriculture and AI (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Computer Networks and Communications (842 citations) and Signal Processing (325 citations). Yunyoung Nam has collaborated with scholars based in South Korea, Pakistan and United States. Frequent co-authors include Seifedine Kadry, Ki H. Chon, Muhammad Attique Khan, Jinseok Lee, Bersaín A. Reyes, Naveen Chilamkurti, Seungmin Rho, Youngsun Kong, Majed Alhaisoni and Muhammad Ramzan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.