Sungbin Choi
About
In The Last Decade
Sungbin Choi
13 papers receiving 133 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 72
- Molecular Biology 66
- Computer Vision and Pattern Recognition 35
- Information Systems 24
- Water Science and Technology 20
Countries citing papers authored by Sungbin Choi
This map shows the geographic impact of Sungbin Choi'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 Sungbin Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungbin Choi more than expected).
Fields of papers citing papers by Sungbin Choi
This network shows the impact of papers produced by Sungbin Choi. 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 Sungbin Choi. The network helps show where Sungbin Choi may publish in the future.
Co-authorship network of co-authors of Sungbin Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Sungbin Choi. A scholar is included among the top collaborators of Sungbin Choi 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 Sungbin Choi. Sungbin Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | SNUMedinfo at CLEF BioASQ 2015. | 1 |
| 3 | Plant identification with deep convolutional neural network: SNUMedinfo at LifeCLEF plant identification task 2015 | 23 |
| 4 | X-ray image body part clustering using deep convolutional neural network: SNUMedinfo at ImageCLEF 2015 medical clustering task | 7 |
| 5 | Fish identification in underwater video with deep convolutional neural network: SNUMedinfo at LifeCLEF fish task 2015 | 22 |
| 6 | 3 | |
| 7 | Classification and retrieval of biomedical literatures: SNUMedinfo at CLEF QA track BioASQ 2014 | 3 |
| 8 | Exploring effective information retrieval technique for the medical web documents: SNUMedinfo at CLEFeHealth2014 Task 3 | 5 |
| 9 | SNUMedinfo at TREC CDS Track 2014: Medical Case-based Retrieval Task | 16 |
| 10 | SNUMedinfo at CLEF eHealth2013 task 3 | 5 |
| 11 | 27 | |
| 12 | SNUMedinfo at ImageCLEF 2013: Medical retrieval task | 5 |
| 13 | 19 |
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.