Seong Joon Yoo
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Plant Science top 10%
- Management Science and Operations Research top 5%
- Information Systems top 5%
- Co-authors
- Yeong Hyeon GuDongil HanJin DongJ. ParkHee Sun ParkChang‐Jin ParkJin Hee LimSung Wook Baik
- Topics
- Smart Agriculture and AI (8 papers)Energy Load and Power Forecasting (7 papers)Advanced Text Analysis Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- South KoreaUnited KingdomChina
In The Last Decade
Seong Joon Yoo
46 papers receiving 868 citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 314
- Electrical and Electronic Engineering 179
- Plant Science 179
- Management Science and Operations Research 156
- Information Systems 108
Countries citing papers authored by Seong Joon Yoo
This map shows the geographic impact of Seong Joon Yoo'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 Seong Joon Yoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong Joon Yoo more than expected).
Fields of papers citing papers by Seong Joon Yoo
This network shows the impact of papers produced by Seong Joon Yoo. 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 Seong Joon Yoo. The network helps show where Seong Joon Yoo may publish in the future.
Co-authorship network of co-authors of Seong Joon Yoo
This figure shows the co-authorship network connecting the top 25 collaborators of Seong Joon Yoo. A scholar is included among the top collaborators of Seong Joon Yoo 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 Seong Joon Yoo. Seong Joon Yoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 42 | |
| 7 | 3 | |
| 8 | 28 | |
| 9 | 68 | |
| 10 | 19 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | An Integrated Image Retrieval and Recognition System for Detecting Diseases and Insect Pests | 2 |
| 16 | A Deep Efficient Frontier Method for Optimal Investments | 6 |
| 17 | 1 | |
| 18 | Development of a Prototype System for Multi Modal Life-log Media Search | 2 |
| 19 | SVM Based Indoor/Mixed/Outdoor Classification for Digital Photo Annotation in a Ubiquitous Computing Environment. | 2 |
| 20 | 0 |
About Seong Joon Yoo
Seong Joon Yoo is a scholar working on Computer Vision and Pattern Recognition, Management Science and Operations Research and Neurology, having authored 54 papers that have together received 926 indexed citations. Recurring topics across this work include Smart Agriculture and AI (8 papers), Energy Load and Power Forecasting (7 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Management Science and Operations Research (156 citations), Artificial Intelligence (314 citations) and Analytical Chemistry (77 citations). Seong Joon Yoo has collaborated with scholars based in South Korea, United Kingdom and China. Frequent co-authors include Yeong Hyeon Gu, Dongil Han, Jin Dong, J. Park, Hee Sun Park, Chang‐Jin Park, Jin Hee Lim, Sung Wook Baik, Yun Hwan Kim and Hyeonjoon Moon. 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.