Seongkyu Mun

39 total papers · 670 total citations
16 papers, 375 citations indexed

About

Seongkyu Mun is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Seongkyu Mun has authored 16 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 12 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Seongkyu Mun's work include Speech and Audio Processing (15 papers), Speech Recognition and Synthesis (12 papers) and Music and Audio Processing (11 papers). Seongkyu Mun is often cited by papers focused on Speech and Audio Processing (15 papers), Speech Recognition and Synthesis (12 papers) and Music and Audio Processing (11 papers). Seongkyu Mun collaborates with scholars based in South Korea and United States. Seongkyu Mun's co-authors include Joon Son Chung, Jaesung Huh, Soyeon Choe, Suwon Shon, Minjae Lee, Sunghwan Jung, Bong‐Jin Lee, Hanseok Ko, Wooil Kim and David K. Han and has published in prestigious journals such as IEICE Transactions on Information and Systems, arXiv (Cornell University) and Interspeech 2022.

In The Last Decade

Seongkyu Mun

16 papers receiving 360 citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Seongkyu Mun 299 295 46 12 11 16 375
Hardik B. Sailor 326 1.1× 251 0.9× 78 1.7× 4 0.3× 8 0.7× 35 384
Ho-Hsiang Wu 266 0.9× 119 0.4× 134 2.9× 10 0.8× 17 1.5× 14 358
Meet Soni 347 1.2× 233 0.8× 48 1.0× 7 0.6× 20 1.8× 18 416
E.S. Parris 297 1.0× 230 0.8× 92 2.0× 5 0.4× 12 1.1× 10 345
Heinrich Dinkel 382 1.3× 316 1.1× 100 2.2× 4 0.3× 15 1.4× 30 437
Lars Maaløe 121 0.4× 276 0.9× 103 2.2× 9 0.8× 22 2.0× 18 383
Mengxiao Bi 254 0.8× 273 0.9× 62 1.3× 11 0.9× 13 1.2× 13 394
Xiaojia Zhao 357 1.2× 287 1.0× 34 0.7× 6 0.5× 12 1.1× 8 394
Zhaozhang Jin 383 1.3× 201 0.7× 31 0.7× 3 0.3× 11 1.0× 10 400
Fenglong Xie 276 0.9× 362 1.2× 48 1.0× 8 0.7× 31 2.8× 19 427

Countries citing papers authored by Seongkyu Mun

Since Specialization
Citations

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

Fields of papers citing papers by Seongkyu Mun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seongkyu Mun

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

All Works

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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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