Sung-Hyon Myaeng

1.1k total citations
87 papers, 591 citations indexed

About

Sung-Hyon Myaeng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sung-Hyon Myaeng has authored 87 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Artificial Intelligence, 29 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sung-Hyon Myaeng's work include Topic Modeling (38 papers), Natural Language Processing Techniques (26 papers) and Advanced Text Analysis Techniques (23 papers). Sung-Hyon Myaeng is often cited by papers focused on Topic Modeling (38 papers), Natural Language Processing Techniques (26 papers) and Advanced Text Analysis Techniques (23 papers). Sung-Hyon Myaeng collaborates with scholars based in South Korea, United States and Canada. Sung-Hyon Myaeng's co-authors include Youngho Kim, Yoonjung Choi, Alfan Farizki Wicaksono, U Kang, Yuchul Jung, Kyung-min Kim, Youngho Kim, Elizabeth D. Liddy, Jinho Kim and Kangwook Lee and has published in prestigious journals such as PLoS ONE, Information Processing & Management and IEEE Intelligent Systems.

In The Last Decade

Sung-Hyon Myaeng

78 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sung-Hyon Myaeng South Korea	13	445	182	86	57	50	87	591
Jack Wu Hong Kong	5	321 0.7×	248 1.4×	69 0.8×	26 0.5×	62 1.2×	12	613
Debasis Ganguly Ireland	14	564 1.3×	358 2.0×	131 1.5×	43 0.8×	58 1.2×	100	806
Nicholas Kolkin United States	4	630 1.4×	183 1.0×	139 1.6×	45 0.8×	43 0.9×	4	822
Wael H. Gomaa Egypt	6	439 1.0×	239 1.3×	45 0.5×	44 0.8×	38 0.8×	20	636
Víctor Fresno Spain	13	415 0.9×	204 1.1×	53 0.6×	57 1.0×	36 0.7×	62	600
Денис Турдаков Russia	14	377 0.8×	152 0.8×	82 1.0×	52 0.9×	57 1.1×	58	587
Xuan-Hieu Phan Japan	11	661 1.5×	255 1.4×	74 0.9×	51 0.9×	32 0.6×	42	825
Maíra Gatti de Bayser Brazil	6	666 1.5×	161 0.9×	73 0.8×	26 0.5×	43 0.9×	20	806
Mihai Lupu Austria	14	306 0.7×	244 1.3×	160 1.9×	66 1.2×	20 0.4×	81	666

Countries citing papers authored by Sung-Hyon Myaeng

Since Specialization

Citations

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

Fields of papers citing papers by Sung-Hyon Myaeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Hyon Myaeng. 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 Sung-Hyon Myaeng. The network helps show where Sung-Hyon Myaeng may publish in the future.

Co-authorship network of co-authors of Sung-Hyon Myaeng

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Hyon Myaeng. A scholar is included among the top collaborators of Sung-Hyon Myaeng 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 Sung-Hyon Myaeng. Sung-Hyon Myaeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kim, Jeonghwan, et al.. (2024). Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise. 2474–2495. 2 indexed citations

Myaeng, Sung-Hyon, et al.. (2023). FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4. KAIST Institutional Repository (KAIST). 1 indexed citations

Myaeng, Sung-Hyon, et al.. (2022). Graph-Induced Transformers for Efficient Multi-Hop Question Answering. 10288–10294. 1 indexed citations

Myaeng, Sung-Hyon, et al.. (2020). Analysis of the Semantic Answer Types to Understand the Limitations of MRQA Models. Journal of KIISE. 47(3). 298–309. 1 indexed citations

Park, Namyong, et al.. (2020). PACC: Large scale connected component computation on Hadoop and Spark. PLoS ONE. 15(3). e0229936–e0229936. 4 indexed citations

Park, Joo‐Hee & Sung-Hyon Myaeng. (2017). A Computational Study on Word Meanings and Their Distributed Representations via Polymodal Embedding. International Joint Conference on Natural Language Processing. 1. 214–223. 1 indexed citations

Song, Sa-Kwang, et al.. (2012). Procedural Knowledge Extraction on Medical Documents. Jeongbo gwahaghoe nonmunji. keompyuting ui silje. 18(2). 123–127.

Choi, Yoonjung, et al.. (2010). Detecting Opinions and their Opinion Targets in NTCIR-8. NTCIR. 249–254. 4 indexed citations

Myaeng, Sung-Hyon, et al.. (2010). IRNLP@KAIST in Subtask of Research Papers Classification in NTCIR-8.. NTCIR. 331–335. 1 indexed citations

10.

Jung, Yuchul, et al.. (2010). Automatic Construction of a Large-Scale Situation Ontology by Mining How-To Instructions from the Web. SSRN Electronic Journal. 2 indexed citations

11.

Myaeng, Sung-Hyon, et al.. (2009). Relation Extraction based on Extended Composite Kernel using Flat Lexical Features. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 36(8). 642–652. 5 indexed citations

12.

Choi, Yoonjung, et al.. (2009). Trend Properties and a Ranking Method for Automatic Trend Analysis. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 36(3). 236–243. 3 indexed citations

13.

Kim, Youngho, et al.. (2009). A Language Model and Clue based Machine Learning Method for Discovering Technology Trends from Patent Text. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 36(5). 420–429.

14.

Kim, Youngho, et al.. (2008). Extracting Topic-related Opinions and their Targets in NTCIR-7.. NTCIR. 9 indexed citations

15.

Myaeng, Sung-Hyon, et al.. (2007). A Hybrid Information Retrieval Model Using Metadata and Text. 34(3). 232–243. 1 indexed citations

16.

Kim, Youngho & Sung-Hyon Myaeng. (2007). Opinion Analysis based on Lexical Clues and their Expansion.. NTCIR. 9 indexed citations

17.

Myaeng, Sung-Hyon, et al.. (2006). Judgment about the Usefulness of Automatically Extracted Temporal Information from News Articles for Event Detection and Tracking. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 33(6). 564–573.

18.

Ko, Dae-Sik, et al.. (2002). Implementation of Virtual Architectural Engineering System for Networked Virtual Collaboration. 한국정보과학회 학술발표논문집. 124–136. 1 indexed citations

19.

Liddy, Elizabeth D. & Sung-Hyon Myaeng. (1994). DR-LINK: A System Update for TREC-2. Text REtrieval Conference. 85–100. 10 indexed citations

20.

Liddy, Elizabeth D. & Sung-Hyon Myaeng. (1992). TIPSTER Panel - DR-LINK's Linguistic-Conceptual Approach to Document Detection.. Text REtrieval Conference. 113–130. 3 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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