Sang-Hyeun Park
- Artificial Intelligence top 10%
- Information Systems
- Computer Vision and Pattern Recognition
- Molecular Biology
- Management Science and Operations Research
- Co-authors
- Johannes FürnkranzEneldo Loza MencíaEyke HüllermeierWeiwei ChengGrigorios TsoumakasIoannis Katakis
- Topics
- Text and Document Classification Technologies (5 papers)Imbalanced Data Classification Techniques (3 papers)Rough Sets and Fuzzy Logic (2 papers)
In The Last Decade
Sang-Hyeun Park
7 papers receiving 147 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 138
- Information Systems 34
- Computer Vision and Pattern Recognition 30
- Molecular Biology 22
- Management Science and Operations Research 20
Countries citing papers authored by Sang-Hyeun Park
This map shows the geographic impact of Sang-Hyeun Park'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 Sang-Hyeun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang-Hyeun Park more than expected).
Fields of papers citing papers by Sang-Hyeun Park
This network shows the impact of papers produced by Sang-Hyeun Park. 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 Sang-Hyeun Park. The network helps show where Sang-Hyeun Park may publish in the future.
Co-authorship network of co-authors of Sang-Hyeun Park
This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Hyeun Park. A scholar is included among the top collaborators of Sang-Hyeun Park 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 Sang-Hyeun Park. Sang-Hyeun Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 60 | |
| 3 | 12 | |
| 4 | 47 | |
| 5 | Efficient Voting Prediction for Pairwise Multilabel Classification. | 2 |
| 6 | On the Combination of Two Decompositive Multi-Label Classification Methods | 7 |
| 7 | Multi-Label Classification with Label Constraints | 14 |
About Sang-Hyeun Park
Sang-Hyeun Park is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 7 papers that have together received 156 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (5 papers), Imbalanced Data Classification Techniques (3 papers) and Rough Sets and Fuzzy Logic (2 papers). The work is most often cited by research in Artificial Intelligence (138 citations), Management Science and Operations Research (20 citations) and Information Systems (34 citations). Sang-Hyeun Park has collaborated with scholars based in Germany and Greece. Frequent co-authors include Johannes Fürnkranz, Eneldo Loza Mencía, Eyke Hüllermeier, Weiwei Cheng, Grigorios Tsoumakas and Ioannis Katakis. Their work appears in journals such as Neurocomputing, Machine Learning and Data Mining and Knowledge Discovery.
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.