Sang-Hyeun Park

About

Sang-Hyeun Park is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Sang-Hyeun Park has authored 5 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Information Systems. Recurrent topics in Sang-Hyeun Park’s work include Imbalanced Data Classification Techniques (3 papers), Text and Document Classification Technologies (3 papers) and Adaptation to Concept Drift in Data Streams (2 papers). Sang-Hyeun Park is often cited by papers focused on Imbalanced Data Classification Techniques (3 papers), Text and Document Classification Technologies (3 papers) and Adaptation to Concept Drift in Data Streams (2 papers). Sang-Hyeun Park collaborates with scholars based in Germany and Greece. Sang-Hyeun Park's co-authors include Johannes Fürnkranz, Eneldo Loza Mencía, Eyke Hüllermeier and Weiwei Cheng and has published in prestigious journals such as Neurocomputing, Machine Learning and Data Mining and Knowledge Discovery.

In The Last Decade

Co-authorship network of co-authors of Sang-Hyeun Park i

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Fields of papers citing papers by Sang-Hyeun Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Sang-Hyeun Park

Since Specialization

Citations

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).

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.

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