Suwon Shon

900 total citations
35 papers, 478 citations indexed

About

Suwon Shon is a scholar working on Artificial Intelligence, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, Suwon Shon has authored 35 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 20 papers in Signal Processing and 3 papers in Control and Systems Engineering. Recurrent topics in Suwon Shon's work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (19 papers) and Music and Audio Processing (14 papers). Suwon Shon is often cited by papers focused on Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (19 papers) and Music and Audio Processing (14 papers). Suwon Shon collaborates with scholars based in United States, South Korea and United Kingdom. Suwon Shon's co-authors include James Glass, Ahmed Ali, Seongkyu Mun, Hanseok Ko, Wooil Kim, David K. Han, Hao Tang, Tae-Hyun Oh, Younes Samih and Hamdy Mubarak and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEICE Transactions on Information and Systems and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.

In The Last Decade

Suwon Shon

32 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suwon Shon United States	13	372	278	52	28	16	35	478
Bartosz Ziółko Poland	10	128 0.3×	118 0.4×	65 1.3×	34 1.2×	20 1.3×	59	259
Herman Kamper South Africa	14	573 1.5×	349 1.3×	101 1.9×	63 2.3×	4 0.3×	51	667
Yoshinori Shiga Japan	11	290 0.8×	228 0.8×	41 0.8×	27 1.0×	3 0.2×	47	345
Akira Kurematsu Japan	7	212 0.6×	240 0.9×	114 2.2×	23 0.8×	2 0.1×	36	382
Sankaran Panchapagesan United States	9	322 0.9×	263 0.9×	38 0.7×	27 1.0×	2 0.1×	17	385
Yashesh Gaur United States	16	655 1.8×	442 1.6×	28 0.5×	8 0.3×		48	719
Anton Ragni United Kingdom	17	688 1.8×	405 1.5×	36 0.7×	27 1.0×	1 0.1×	50	739
Christian Plahl Germany	14	300 0.8×	212 0.8×	107 2.1×	12 0.4×		21	372
Seongkyu Mun South Korea	8	298 0.8×	300 1.1×	47 0.9×	11 0.4×		16	378
Sri Harish Mallidi United States	14	426 1.1×	362 1.3×	24 0.5×	25 0.9×		32	494

Countries citing papers authored by Suwon Shon

Since Specialization

Citations

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

Fields of papers citing papers by Suwon Shon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suwon Shon

This figure shows the co-authorship network connecting the top 25 collaborators of Suwon Shon. A scholar is included among the top collaborators of Suwon Shon 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 Suwon Shon. Suwon Shon 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:

20 of 20 papers shown

Sharma, Roshan, et al.. (2024). Speech vs. Transcript: Does It Matter for Human Annotators in Speech Summarization?. 14779–14797.

Arora, Siddhant, Roshan Sharma, Jee-weon Jung, et al.. (2024). On the Evaluation of Speech Foundation Models for Spoken Language Understanding. 11923–11938. 1 indexed citations

Shon, Suwon, Kwangyoun Kim, Yi‐Te Hsu, et al.. (2024). DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding. 4154–4158. 1 indexed citations

Shon, Suwon, Kwangyoun Kim, Prashant Sridhar, et al.. (2024). Generative Context-Aware Fine-Tuning of Self-Supervised Speech Models. 11156–11160.

Kim, Kwangyoun, et al.. (2024). Improving ASR Contextual Biasing with Guided Attention. 12096–12100. 3 indexed citations

Kim, Kwangyoun, Suwon Shon, Yi‐Te Hsu, et al.. (2024). Convolution-Augmented Parameter-Efficient Fine-Tuning for Speech Recognition. 2830–2834.

Shon, Suwon, Siddhant Arora, Felix F. Wu, et al.. (2023). SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks. 12 indexed citations

Peng, Yifan, Kwangyoun Kim, Felix Wu, et al.. (2023). A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks. 2208–2212. 9 indexed citations

Shon, Suwon, Ahmed Ali, Younes Samih, Hamdy Mubarak, & James Glass. (2020). ADI17: A Fine-Grained Arabic Dialect Identification Dataset. 8244–8248. 21 indexed citations

10.

Chowdhury, Shammur Absar, Ahmed Ali, Suwon Shon, & James Glass. (2020). What Does an End-to-End Dialect Identification Model Learn About Non-Dialectal Information?. 462–466. 11 indexed citations

11.

Villalba, Jesús, Nanxin Chen, David Snyder, et al.. (2019). State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18. 1488–1492. 50 indexed citations

12.

Mun, Seongkyu & Suwon Shon. (2019). Domain Mismatch Robust Acoustic Scene Classification Using Channel Information Conversion. 845–849. 13 indexed citations

13.

Shon, Suwon, Ahmed Ali, & James Glass. (2018). Convolutional Neural Network and Language Embeddings for End-to-End Dialect Recognition. 98–104. 44 indexed citations

14.

Zampieri, Marcos, Shervin Malmasi, Preslav Nakov, et al.. (2018). Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign. Työväentutkimus Vuosikirja. 1–17. 65 indexed citations

15.

Mun, Seongkyu, Suwon Shon, Wooil Kim, David K. Han, & Hanseok Ko. (2017). Deep Neural Network based learning and transferring mid-level audio features for acoustic scene classification. 796–800. 42 indexed citations

16.

Shon, Suwon, David K. Han, & Hanseok Ko. (2013). Abnormal acoustic event localization based on selective frequency bin in high noise environment for audio surveillance. 4. 87–92. 3 indexed citations

17.

Shon, Suwon, et al.. (2012). Full Azimuth Multiple Sound Source Localization with 3-Channel Microphone Array. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E95.A(4). 745–750. 4 indexed citations

18.

Shon, Suwon, et al.. (2011). Motion primitives for designing flexible gesture set in Human-Robot Interface. International Conference on Control, Automation and Systems. 1501–1504. 3 indexed citations

19.

Shon, Suwon, et al.. (2011). Hand Motion Design for Performance Enhancement of Vision Based Hand Signal Recognizer. Journal of the Institute of Electronics Engineers of Korea. 48(4). 30–37. 1 indexed citations

20.

Shon, Suwon, et al.. (2011). Robot User Control System using Hand Gesture Recognizer. Journal of Institute of Control Robotics and Systems. 17(4). 368–374. 1 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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