Sook Yoon
Impact in
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses
- Signal Processing top 1%
- Biometric Identification and Security
Papers in
-
- Video Surveillance and Tracking Methods 14
- Face and Expression Recognition 11
- Advanced Steganography and Watermarking Techniques 8
-
- Smart Agriculture and AI 29
- Plant Virus Research Studies 10
- Co-authors
- Alvaro Fuentes (32 shared papers)Dong Sun Park (50 shared papers)Dong Jun Park (3 shared papers)Sang Ryong Kim (1 shared paper)Mingle Xu (11 shared papers)Yu Lu (11 shared papers)Shan Juan Xie (15 shared papers)Zhihui Wang (7 shared papers)
- Journals
- Frontiers in Plant Science (15 papers)Computers and Electronics in Agriculture (5 papers)Sensors (4 papers)Animals (2 papers)IEEE Access (2 papers)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Sook Yoon
73 papers receiving 3.0k citations
Sook Yoon's Hit Papers
Peers
Comparison fields: 5 of 147
- Analytical Chemistry 547
- Signal Processing 533
- Plant Science 1.7k
- Computer Vision and Pattern Recognition 687
- Small Animals 106
Countries citing papers authored by Sook Yoon
This map shows the geographic impact of Sook Yoon'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 Sook Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sook Yoon more than expected).
Fields of papers citing papers by Sook Yoon
This network shows the impact of papers produced by Sook Yoon. 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 Sook Yoon. The network helps show where Sook Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Sook Yoon, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition Hit paper breakdown → | 2017 | 1178 |
| 2 | A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Hit paper breakdown → | 2023 | 364 |
| 3 | 2013 | 157 | |
| 4 | 2018 | 154 | |
| 5 | 2020 | 111 | |
| 6 | 2013 | 91 | |
| 7 | 2017 | 79 | |
| 8 | 2011 | 59 | |
| 9 | 2015 | 54 | |
| 10 | 2022 | 45 | |
| 11 | 2012 | 44 | |
| 12 | 2019 | 42 | |
| 13 | 2014 | 39 | |
| 14 | 2020 | 36 | |
| 15 | 2022 | 35 | |
| 16 | 2023 | 35 | |
| 17 | 2023 | 29 | |
| 18 | 2012 | 28 | |
| 19 | 2023 | 28 | |
| 20 | 2003 | 27 |
About Sook Yoon
Sook Yoon is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Signal Processing, Artificial Intelligence and Small Animals, having authored 80 papers that have together received 3.1k indexed citations. Recurring topics across this work include Smart Agriculture and AI (29 papers), Biometric Identification and Security (16 papers), Video Surveillance and Tracking Methods (14 papers), Face and Expression Recognition (11 papers), Plant Virus Research Studies (10 papers), Advanced Steganography and Watermarking Techniques (8 papers), Remote Sensing in Agriculture (7 papers) and Animal Behavior and Welfare Studies (7 papers). The work is most often cited by research in Analytical Chemistry (547 citations), Signal Processing (533 citations), Plant Science (1.7k citations), Computer Vision and Pattern Recognition (687 citations) and Small Animals (106 citations). Sook Yoon has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Alvaro Fuentes, Dong Sun Park, Dong Jun Park, Sang Ryong Kim, Mingle Xu, Yu Lu, Shan Juan Xie, Zhihui Wang, Jae-Su Lee and Jucheng Yang. Their work appears in journals such as Frontiers in Plant Science, Computers and Electronics in Agriculture, Sensors, Animals 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.