Youngsung Kim
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Information Systems
- Transportation
- Co-authors
- Kar‐Ann TohAndrew Beng Jin TeohWonjun KimByungIn YooChangkyu ChoiJunmo KimHow‐Lung EngWei‐Yun Yau
- Topics
- Face and Expression Recognition (10 papers)Biometric Identification and Security (9 papers)Face recognition and analysis (9 papers)
- Partner nations
- South KoreaSingaporeUnited States
In The Last Decade
Youngsung Kim
30 papers receiving 220 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 148
- Signal Processing 75
- Artificial Intelligence 43
- Information Systems 36
- Transportation 16
Countries citing papers authored by Youngsung Kim
This map shows the geographic impact of Youngsung Kim'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 Youngsung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngsung Kim more than expected).
Fields of papers citing papers by Youngsung Kim
This network shows the impact of papers produced by Youngsung Kim. 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 Youngsung Kim. The network helps show where Youngsung Kim may publish in the future.
Co-authorship network of co-authors of Youngsung Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Youngsung Kim. A scholar is included among the top collaborators of Youngsung Kim 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 Youngsung Kim. Youngsung Kim 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 | 3 | |
| 3 | 3 | |
| 4 | Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning | 2 |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | Evaluating FMS: A Preliminary Comparison with a Traditional Travel Survey | 18 |
| 10 | Evapotranspiration Estimation by The Eddy-Covariance in The Yongdam Dam Experimental Basin | 0 |
| 11 | 16 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | Appropriateness Check of the Existing Depth-averaged Velocity Conversion Factor in River Discharge Measurement Using Surface Velocity | 1 |
| 15 | 15 | |
| 16 | 3 | |
| 17 | Water Balance Analysis at Yongdam Testing Basin | 0 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | The state of the Art of Common Science Teaching in High School | 1 |
About Youngsung Kim
Youngsung Kim is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 33 papers that have together received 233 indexed citations. Recurring topics across this work include Face and Expression Recognition (10 papers), Biometric Identification and Security (9 papers) and Face recognition and analysis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (148 citations), Signal Processing (75 citations) and Transportation (16 citations). Youngsung Kim has collaborated with scholars based in South Korea, Singapore and United States. Frequent co-authors include Kar‐Ann Toh, Andrew Beng Jin Teoh, Wonjun Kim, ByungIn Yoo, Changkyu Choi, Junmo Kim, How‐Lung Eng, Wei‐Yun Yau, Moshe Ben‐Akiva and Fang Zhao. Their work appears in journals such as IEEE Access, Pattern Recognition and Neurocomputing.
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.