Jeung-Yoon Choi

520 total citations
36 papers, 323 citations indexed

About

Jeung-Yoon Choi is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Jeung-Yoon Choi has authored 36 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 21 papers in Experimental and Cognitive Psychology and 19 papers in Signal Processing. Recurrent topics in Jeung-Yoon Choi's work include Speech Recognition and Synthesis (22 papers), Phonetics and Phonology Research (21 papers) and Speech and Audio Processing (13 papers). Jeung-Yoon Choi is often cited by papers focused on Speech Recognition and Synthesis (22 papers), Phonetics and Phonology Research (21 papers) and Speech and Audio Processing (13 papers). Jeung-Yoon Choi collaborates with scholars based in United States, South Korea and Italy. Jeung-Yoon Choi's co-authors include Kar‐Ann Toh, Chulhan Lee, Sangyoun Lee, Stefanie Shattuck‐Hufnagel, Laureano Moro-Velázquez, Jorge A. Gómez-García, Juan Ignacio Godino-Llorente, Soo Youn Ham, Wooyoung Kim and Jaihie Kim and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and The Journal of the Acoustical Society of America.

In The Last Decade

Jeung-Yoon Choi

26 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeung-Yoon Choi United States 9 198 117 107 94 64 36 323
A. Revathi India 9 181 0.9× 70 0.6× 133 1.2× 20 0.2× 18 0.3× 53 276
Miloš Cerňak Switzerland 14 282 1.4× 63 0.5× 365 3.4× 10 0.1× 125 2.0× 61 487
Téva Merlin France 7 548 2.8× 118 1.0× 573 5.4× 42 0.4× 26 0.4× 16 706
Anderson R. Avila Canada 8 150 0.8× 31 0.3× 136 1.3× 43 0.5× 53 0.8× 25 272
Jaime Lorenzo-Trueba Spain 12 366 1.8× 94 0.8× 551 5.1× 14 0.1× 60 0.9× 33 658
Nengheng Zheng China 10 246 1.2× 38 0.3× 164 1.5× 10 0.1× 23 0.4× 42 318
Bartosz Ziółko Poland 10 118 0.6× 65 0.6× 128 1.2× 9 0.1× 34 0.5× 59 259
Harald Höge Germany 11 280 1.4× 49 0.4× 362 3.4× 12 0.1× 51 0.8× 52 428
Yossi Adi Israel 15 395 2.0× 121 1.0× 661 6.2× 10 0.1× 65 1.0× 56 838
Adil Khan Pakistan 9 49 0.2× 31 0.3× 131 1.2× 104 1.1× 17 0.3× 19 318

Countries citing papers authored by Jeung-Yoon Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jeung-Yoon Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeung-Yoon Choi. 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 Jeung-Yoon Choi. The network helps show where Jeung-Yoon Choi may publish in the future.

Co-authorship network of co-authors of Jeung-Yoon Choi

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

All Works

20 of 20 papers shown
1.
Choi, Jeung-Yoon, Yong Zhang, Kiran Kumar Shetty, et al.. (2025). Public quantum network: The first node. Applied Physics Letters. 126(5).
2.
Nardis, Luca De, et al.. (2024). Toward the long-term evolution of the xkl speech analysis software. The Journal of the Acoustical Society of America. 156(4_Supplement). A77–A78.
3.
Choi, Jeung-Yoon, et al.. (2023). Linking lexically guided perceptual learning to statistical patterns in speech input. The Journal of the Acoustical Society of America. 153(3_supplement). A343–A343.
4.
5.
Benedetto, Maria‐Gabriella Di, et al.. (2020). Speech recognition of spoken Italian based on detection of landmarks and other acoustic cues to distinctive features. The Journal of the Acoustical Society of America. 148(4_Supplement). 2808–2808. 1 indexed citations
6.
Talkar, Tanya, et al.. (2019). Alignment of canonical and realized acoustic cue labels for modification patterns in speech analysis. The Journal of the Acoustical Society of America. 146(4_Supplement). 2959–2959.
7.
Godino-Llorente, Juan Ignacio, Stefanie Shattuck‐Hufnagel, Jeung-Yoon Choi, Laureano Moro-Velázquez, & Jorge A. Gómez-García. (2017). Towards the identification of Idiopathic Parkinson’s Disease from the speech. New articulatory kinetic biomarkers. PLoS ONE. 12(12). e0189583–e0189583. 53 indexed citations
8.
9.
Mann, Allison, et al.. (2014). Contextual landmark analysis of speech from typically and atypically developing children. The Journal of the Acoustical Society of America. 135(4_Supplement). 2293–2293. 1 indexed citations
10.
Choi, Jeung-Yoon. (2009). Voice quality contour measurements for prosody detection.. The Journal of the Acoustical Society of America. 125(4_Supplement). 2529–2529.
11.
Lee, Jung-In & Jeung-Yoon Choi. (2008). Detection of obstruent consonant landmark for knowledge based speech recgonition system. The Journal of the Acoustical Society of America. 123(5_Supplement). 3330–3330. 3 indexed citations
12.
Kim, Jong‐Sun, et al.. (2007). A Method of Generating Changeable Face Template for Statistical Appearance-Based Face Recognition. Journal of the Institute of Electronics Engineers of Korea. 44(2). 27–36. 1 indexed citations
13.
Choi, Jeung-Yoon, et al.. (2007). Generation of Changeable Face Template by Combining Independent Component Analysis Coefficients. Journal of the Institute of Electronics Engineers of Korea. 44(6). 16–23.
14.
Lee, Chulhan, Jeung-Yoon Choi, Kar‐Ann Toh, & Sangyoun Lee. (2007). Alignment-Free Cancelable Fingerprint Templates Based on Local Minutiae Information. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 37(4). 980–992. 102 indexed citations
15.
Toh, Kar‐Ann, Chulhan Lee, Jeung-Yoon Choi, & Jaihie Kim. (2007). Performance Based Revocable Biometrics. 3781. 647–652. 2 indexed citations
16.
17.
Lee, Chulhan, et al.. (2006). Changeable Biometrics for Appearance Based Face Recognition. 1–5. 27 indexed citations
18.
Hasegawa‐Johnson, Mark, Jennifer Cole, Chilin Shih, et al.. (2004). Speech Recognition Models of the Interdependence Among Syntax, Prosody, and Segmental Acoustics. North American Chapter of the Association for Computational Linguistics. 56–63. 13 indexed citations
19.
Choi, Jeung-Yoon. (2003). Pause length and speech rate as durational cues for prosody markers. The Journal of the Acoustical Society of America. 114(4_Supplement). 2395–2395. 8 indexed citations
20.
Choi, Jeung-Yoon. (1999). Detection of consonant voicing: A module for a hierarchical speech recognition system. The Journal of the Acoustical Society of America. 106(4_Supplement). 2274–2274. 8 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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