Hyokun Yun

837 total citations
7 papers, 162 citations indexed

About

Hyokun Yun is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hyokun Yun has authored 7 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hyokun Yun's work include Optimization and Search Problems (2 papers), Machine Learning and Algorithms (2 papers) and Topic Modeling (2 papers). Hyokun Yun is often cited by papers focused on Optimization and Search Problems (2 papers), Machine Learning and Algorithms (2 papers) and Topic Modeling (2 papers). Hyokun Yun collaborates with scholars based in United States, Japan and Germany. Hyokun Yun's co-authors include S. V. N. Vishwanathan, Hsiang‐Fu Yu, Cho‐Jui Hsieh, Inderjit S. Dhillon, Ji Soo Yi, Zachary C. Lipton, Animashree Anandkumar, Yakov Kronrod, Yanyao Shen and Pinar Yanardag and has published in prestigious journals such as Computer, Proceedings of the VLDB Endowment and CaltechAUTHORS (California Institute of Technology).

In The Last Decade

Hyokun Yun

7 papers receiving 153 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hyokun Yun United States	5	92	59	53	22	16	7	162
Wu-Jun Li China	5	135 1.5×	66 1.1×	123 2.3×	14 0.6×	10 0.6×	12	220
Arun Tejasvi Chaganty United States	8	179 1.9×	27 0.5×	31 0.6×	11 0.5×	2 0.1×	16	217
Avinava Dubey United States	8	135 1.5×	30 0.5×	94 1.8×	27 1.2×	10 0.6×	21	211
Sebastian Leipert Germany	7	29 0.3×	70 1.2×	40 0.8×	15 0.7×	7 0.4×	13	138
Zhenxiao Luo China	9	65 0.7×	138 2.3×	84 1.6×	38 1.7×	6 0.4×	20	253
Samee Zahur United States	4	240 2.6×	17 0.3×	69 1.3×	38 1.7×	7 0.4×	4	262
Huasha Zhao United States	9	107 1.2×	47 0.8×	52 1.0×	51 2.3×	1 0.1×	12	171
Eugene Bagdasaryan United States	7	168 1.8×	25 0.4×	89 1.7×	73 3.3×	12 0.8×	8	235
Yueqi Xie Hong Kong	8	127 1.4×	159 2.7×	109 2.1×	12 0.5×	4 0.3×	14	303
Phillipp Schoppmann United States	5	171 1.9×	11 0.2×	30 0.6×	16 0.7×	7 0.4×	11	189

Countries citing papers authored by Hyokun Yun

Since Specialization

Citations

This map shows the geographic impact of Hyokun Yun'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 Hyokun Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyokun Yun more than expected).

Fields of papers citing papers by Hyokun Yun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyokun Yun. 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 Hyokun Yun. The network helps show where Hyokun Yun may publish in the future.

Co-authorship network of co-authors of Hyokun Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Hyokun Yun. A scholar is included among the top collaborators of Hyokun Yun 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 Hyokun Yun. Hyokun Yun 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.

Srinivasan, Sriram, et al.. (2019). Scaling Multinomial Logistic Regression via Hybrid Parallelism. 1460–1470. 4 indexed citations

2.

Shen, Yanyao, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, & Animashree Anandkumar. (2018). Deep Active Learning for Named Entity Recognition.. CaltechAUTHORS (California Institute of Technology). 18 indexed citations

3.

Yu, Hsiang‐Fu, Cho‐Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, & Inderjit S. Dhillon. (2016). Nomadic Computing for Big Data Analytics. Computer. 49(4). 52–60. 3 indexed citations

4.

Ji, Shihao, et al.. (2016). WordRank: Learning Word Embeddings via Robust Ranking. 658–668. 17 indexed citations

5.

Yun, Hyokun, et al.. (2014). Ranking via Robust Binary Classification. Neural Information Processing Systems. 27. 2582–2590. 14 indexed citations

6.

Yun, Hyokun, Hsiang‐Fu Yu, Cho‐Jui Hsieh, S. V. N. Vishwanathan, & Inderjit S. Dhillon. (2014). NOMAD. Proceedings of the VLDB Endowment. 7(11). 975–986. 79 indexed citations

7.

Yun, Hyokun, et al.. (2012). How to filter out random clickers in a crowdsourcing-based study?. 1–7. 27 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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