Sang-Hyeun Park

420 total citations
7 papers, 156 citations indexed

About

Sang-Hyeun Park is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Sang-Hyeun Park has authored 7 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computational Theory and Mathematics. Recurrent topics in Sang-Hyeun Park's work include Text and Document Classification Technologies (5 papers), Imbalanced Data Classification Techniques (3 papers) and Rough Sets and Fuzzy Logic (2 papers). Sang-Hyeun Park is often cited by papers focused on Text and Document Classification Technologies (5 papers), Imbalanced Data Classification Techniques (3 papers) and Rough Sets and Fuzzy Logic (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, Weiwei Cheng, Eyke Hüllermeier, Grigorios Tsoumakas and Ioannis Katakis and has published in prestigious journals such as Neurocomputing, Machine Learning and Data Mining and Knowledge Discovery.

In The Last Decade

Sang-Hyeun Park

7 papers receiving 147 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sang-Hyeun Park Germany	6	138	34	30	22	20	7	156
Peter Geibel Germany	8	119 0.9×	33 1.0×	23 0.8×	11 0.5×	14 0.7×	20	146
Taiyu Ban China	8	129 0.9×	24 0.7×	24 0.8×	19 0.9×	26 1.3×	23	178
Gourab Kundu United States	8	167 1.2×	35 1.0×	41 1.4×	23 1.0×	28 1.4×	16	222
Jiawei Han China	5	105 0.8×	41 1.2×	57 1.9×	48 2.2×	6 0.3×	9	168
Yuxian Gu China	6	259 1.9×	44 1.3×	72 2.4×	14 0.6×	18 0.9×	9	311
Siqu Long Australia	8	118 0.9×	18 0.5×	75 2.5×	17 0.8×	6 0.3×	13	179
Zhepei Wei China	5	308 2.2×	57 1.7×	22 0.7×	42 1.9×	58 2.9×	6	334
Wenmian Yang China	8	165 1.2×	31 0.9×	38 1.3×	27 1.2×	3 0.1×	14	236
Cliff Brunk United States	5	154 1.1×	54 1.6×	56 1.9×	11 0.5×	9 0.5×	7	210
Avi Caciularu Israel	9	206 1.5×	58 1.7×	57 1.9×	13 0.6×	5 0.3×	29	255

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).

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.

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Park, Sang-Hyeun & Johannes Fürnkranz. (2013). Efficient implementation of class-based decomposition schemes for Naïve Bayes. Machine Learning. 96(3). 295–309. 14 indexed citations

2.

Fürnkranz, Johannes, Eyke Hüllermeier, Weiwei Cheng, & Sang-Hyeun Park. (2012). Preference-based reinforcement learning: a formal framework and a policy iteration algorithm. Machine Learning. 89(1-2). 123–156. 60 indexed citations

3.

Park, Sang-Hyeun & Johannes Fürnkranz. (2011). Efficient prediction algorithms for binary decomposition techniques. Data Mining and Knowledge Discovery. 24(1). 40–77. 12 indexed citations

4.

Mencía, Eneldo Loza, Sang-Hyeun Park, & Johannes Fürnkranz. (2010). Efficient voting prediction for pairwise multilabel classification. Neurocomputing. 73(7-9). 1164–1176. 47 indexed citations

5.

Mencía, Eneldo Loza, Sang-Hyeun Park, & Johannes Fürnkranz. (2009). Efficient Voting Prediction for Pairwise Multilabel Classification.. The European Symposium on Artificial Neural Networks. 2 indexed citations

6.

Tsoumakas, Grigorios, Eneldo Loza Mencía, Ioannis Katakis, Sang-Hyeun Park, & Johannes Fürnkranz. (2009). On the Combination of Two Decompositive Multi-Label Classification Methods. 7 indexed citations

7.

Park, Sang-Hyeun & Johannes Fürnkranz. (2008). Multi-Label Classification with Label Constraints. 14 indexed citations

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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