Soyeon Choe

556 total citations · 1 hit paper
8 papers, 323 citations indexed

About

Soyeon Choe is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Soyeon Choe has authored 8 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Signal Processing, 6 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Soyeon Choe's work include Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (6 papers) and Music and Audio Processing (4 papers). Soyeon Choe is often cited by papers focused on Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (6 papers) and Music and Audio Processing (4 papers). Soyeon Choe collaborates with scholars based in South Korea, Canada and Japan. Soyeon Choe's co-authors include Joon Son Chung, Jaesung Huh, Seongkyu Mun, Bong‐Jin Lee, Sunghwan Jung, Minjae Lee, Soo-Whan Chung, Hong-Goo Kang, Robin Scheibler and Min-Seok Choi and has published in prestigious journals such as Sensors and arXiv (Cornell University).

In The Last Decade

Soyeon Choe

8 papers receiving 312 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

In Defence of Metric Learning for Speaker Recognition

2020 232 citations Joon Son Chung, Jaesung Huh et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Soyeon Choe South Korea	6	263	263	32	12	11	8	323
Matt Shannon United Kingdom	11	250 1.0×	317 1.2×	26 0.8×	15 1.3×	10 0.9×	13	372
Changhao Shan China	7	182 0.7×	254 1.0×	29 0.9×	6 0.5×	5 0.5×	10	291
Zhongxin Bai China	6	219 0.8×	254 1.0×	39 1.2×	6 0.5×	8 0.7×	10	320
Benoît Fauve United Kingdom	8	284 1.1×	260 1.0×	38 1.2×	18 1.5×	6 0.5×	15	326
Yanhua Long China	9	197 0.7×	226 0.9×	23 0.7×	13 1.1×	6 0.5×	62	280
Ruijie Tao Singapore	8	206 0.8×	184 0.7×	47 1.5×	6 0.5×	12 1.1×	24	268
Jay Mahadeokar United States	8	201 0.8×	324 1.2×	23 0.7×	5 0.4×	8 0.7×	28	372
Sri Harish Mallidi United States	14	362 1.4×	426 1.6×	24 0.8×	15 1.3×	23 2.1×	32	494
Yannis Agiomyrgiannakis Greece	8	199 0.8×	224 0.9×	58 1.8×	24 2.0×	5 0.5×	18	307

Countries citing papers authored by Soyeon Choe

Since Specialization

Citations

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

Fields of papers citing papers by Soyeon Choe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soyeon Choe

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

8 of 8 papers shown

1.

Scheibler, Robin, et al.. (2023). Diffusion-Based Generative Speech Source Separation. 1–5. 13 indexed citations

2.

Chung, Soo-Whan, et al.. (2023). An Empirical Study on Speech Restoration Guided by Self-Supervised Speech Representation. arXiv (Cornell University). 1–5. 1 indexed citations

3.

Kim, You Jin, Hee-Soo Heo, Soyeon Choe, et al.. (2021). Look Who’s Talking: Active Speaker Detection in the Wild. 3675–3679. 9 indexed citations

4.

Chung, Joon Son, Jaesung Huh, Seongkyu Mun, et al.. (2020). In Defence of Metric Learning for Speaker Recognition. arXiv (Cornell University). 2977–2981. 232 indexed citations breakdown →

5.

Chung, Soo-Whan, Soyeon Choe, Joon Son Chung, & Hong-Goo Kang. (2020). FaceFilter: Audio-Visual Speech Separation Using Still Images. arXiv (Cornell University). 3481–3485. 44 indexed citations

6.

Mun, Seongkyu, Soyeon Choe, Jaesung Huh, & Joon Son Chung. (2020). The Sound of My Voice: Speaker Representation Loss for Target Voice Separation. 7289–7293. 10 indexed citations

7.

Lee, Jinkyu, Soyeon Choe, Hyuk In Yang, et al.. (2019). Dry Electrode-Based Body Fat Estimation System with Anthropometric Data for Use in a Wearable Device. Sensors. 19(9). 2177–2177. 10 indexed citations

8.

Choe, Soyeon, et al.. (2018). Deep learning-based speech presence probability estimation for noise PSD estimation in single-channel speech enhancement. 267–270. 4 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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