Seungjin Choi

4.5k total citations
131 papers, 2.8k citations indexed

About

Seungjin Choi is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Seungjin Choi has authored 131 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Signal Processing, 48 papers in Artificial Intelligence and 41 papers in Computer Vision and Pattern Recognition. Recurrent topics in Seungjin Choi's work include Blind Source Separation Techniques (64 papers), Neural Networks and Applications (30 papers) and Face and Expression Recognition (24 papers). Seungjin Choi is often cited by papers focused on Blind Source Separation Techniques (64 papers), Neural Networks and Applications (30 papers) and Face and Expression Recognition (24 papers). Seungjin Choi collaborates with scholars based in South Korea, Japan and United States. Seungjin Choi's co-authors include Andrzej Cichocki, Yong‐Deok Kim, Jiho Yoo, Heeyoul Choi, Шун-ичи Амари, Saehoon Kim, Hyohyeong Kang, Hyekyoung Lee, Bonkon Koo and Yunjun Nam and has published in prestigious journals such as Bioinformatics, IEEE Access and Frontiers in Immunology.

In The Last Decade

Seungjin Choi

122 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seungjin Choi South Korea 29 1.0k 987 704 614 261 131 2.8k
David R. Hardoon United Kingdom 18 1.8k 1.7× 452 0.5× 1.3k 1.8× 357 0.6× 181 0.7× 42 3.4k
Raveendran Paramesran Malaysia 33 2.5k 2.5× 422 0.4× 435 0.6× 432 0.7× 192 0.7× 173 3.8k
Alain Rakotomamonjy France 25 1.2k 1.2× 758 0.8× 1.2k 1.7× 1.8k 3.0× 451 1.7× 63 4.5k
Kuanquan Wang China 38 2.3k 2.2× 2.0k 2.1× 627 0.9× 882 1.4× 103 0.4× 301 6.2k
Jana Novovičová Czechia 14 1.2k 1.2× 389 0.4× 1.3k 1.8× 280 0.5× 56 0.2× 29 3.3k
Guoxu Zhou China 32 1.0k 1.0× 1.5k 1.5× 848 1.2× 1.7k 2.8× 960 3.7× 128 5.0k
Jeanny Hérault France 13 412 0.4× 1.5k 1.5× 734 1.0× 455 0.7× 271 1.0× 26 2.4k
Rafał Zdunek Poland 18 807 0.8× 1.1k 1.1× 580 0.8× 235 0.4× 757 2.9× 67 3.1k
Motoaki Kawanabe Japan 26 671 0.7× 1.3k 1.3× 1.2k 1.8× 2.6k 4.3× 117 0.4× 92 4.5k
M. Omair Ahmad Canada 35 2.6k 2.6× 1.5k 1.6× 630 0.9× 232 0.4× 531 2.0× 407 4.8k

Countries citing papers authored by Seungjin Choi

Since Specialization
Citations

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

Fields of papers citing papers by Seungjin Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungjin Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Seungjin Choi. A scholar is included among the top collaborators of Seungjin 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 Seungjin Choi. Seungjin 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.
Lee, Juho, Lancelot F. James, & Seungjin Choi. (2016). Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 29. 3162–3170. 4 indexed citations
2.
Koo, Bonkon, et al.. (2015). Immersive BCI with SSVEP in VR head-mounted display. PubMed. 2015. 1103–1106. 45 indexed citations
3.
Lee, Juho & Seungjin Choi. (2014). Incremental Tree-Based Inference with Dependent Normalized Random Measures. International Conference on Artificial Intelligence and Statistics. 558–566.
4.
Kim, Yong‐Deok & Seungjin Choi. (2014). Scalable Variational Bayesian Matrix Factorization with Side Information. International Conference on Artificial Intelligence and Statistics. 493–502. 21 indexed citations
5.
Park, Sunho, Yong‐Deok Kim, & Seungjin Choi. (2013). Hierarchical Bayesian matrix factorization with side information. International Joint Conference on Artificial Intelligence. 1593–1599. 27 indexed citations
6.
Kang, Hyohyeong & Seungjin Choi. (2012). Bayesian common spatial patterns with Pitman-Yor process priors. European Signal Processing Conference. 684–688.
7.
Lee, Hyekyoung & Seungjin Choi. (2009). Group Nonnegative Matrix Factorization for EEG Classification. International Conference on Artificial Intelligence and Statistics. 320–327. 41 indexed citations
8.
Choi, Heeyoul, Seungjin Choi, & Yoonsuck Choe. (2008). Manifold integration with Markov random walks. National Conference on Artificial Intelligence. 424–429. 3 indexed citations
9.
Park, Sunho & Seungjin Choi. (2008). A constrained sequential EM algorithm for speech enhancement. Neural Networks. 21(9). 1401–1409. 14 indexed citations
10.
Choi, Seungjin, et al.. (2004). Nonnegative features of spectro-temporal sounds for classification. Pattern Recognition Letters. 26(9). 1327–1336. 45 indexed citations
11.
Choi, Seungjin. (2002). ON-LINE SEQUENTIAL MULTICHANNEL BLIND DECONVOLUTION: A DEFLATION APPROACH. 2011. 612464–612464. 5 indexed citations
12.
Choi, Seungjin. (2002). SEQUENTIAL EM LEARNING FOR SUBSPACE ANALYSIS. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 699–702. 1 indexed citations
13.
Lee, Jae Sung, et al.. (2001). Application Of Non-Negative Matrix Factorization To Dynamic Positron Emission Tomography. 25 indexed citations
14.
Choi, Seungjin. (2001). APPROXIMATE MAXIMUM LIKELIHOOD SOURCE SEPARATION. 한국통신학회 학술대회 및 강연회. 223–226. 1 indexed citations
15.
Choi, Seungjin. (1999). Adaptive Blind Equalization for Multichannel Transmission via Temporal Decorrelation. 4(1). 130–136. 3 indexed citations
16.
Choi, Seungjin. (1999). Nonstationary Source Separation. 4(4). 499–506. 1 indexed citations
17.
Choi, Seungjin. (1999). Incorporating the Temporal Structure of Sources into Independent Component Analysis. 4(6). 773–779. 1 indexed citations
18.
Choi, Seungjin, Andrzej Cichocki, & Шун-ичи Амари. (1999). Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution. c 17. 1085–1088 vol.2. 9 indexed citations
19.
Choi, Seungjin. (1998). Temporal Decorrelation-based Blind Equalization (TDBE) Algorithm for Multichannel Transmission. 대한전자공학회 학술대회. 641–645. 1 indexed citations
20.
Choi, Seungjin & Rueywen Liu. (1997). A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria.. The European Symposium on Artificial Neural Networks. 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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