Seungjin Choi
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 0.5%
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 5%
- Computational Mechanics top 5%
- Co-authors
- Andrzej CichockiYong‐Deok KimJiho YooHeeyoul ChoiШун-ичи АмариSaehoon KimHyohyeong KangHyekyoung Lee
- Topics
- Blind Source Separation Techniques (64 papers)Neural Networks and Applications (30 papers)Face and Expression Recognition (24 papers)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Seungjin Choi
122 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 149
- Computer Vision and Pattern Recognition 1.0k
- Signal Processing 987
- Artificial Intelligence 704
- Cognitive Neuroscience 614
- Computational Mechanics 261
Countries citing papers authored by Seungjin Choi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models | 4 |
| 2 | 45 | |
| 3 | Incremental Tree-Based Inference with Dependent Normalized Random Measures | 0 |
| 4 | Scalable Variational Bayesian Matrix Factorization with Side Information | 21 |
| 5 | Hierarchical Bayesian matrix factorization with side information | 27 |
| 6 | 43 | |
| 7 | Bayesian common spatial patterns with Pitman-Yor process priors | 0 |
| 8 | Group Nonnegative Matrix Factorization for EEG Classification | 41 |
| 9 | Manifold integration with Markov random walks | 3 |
| 10 | 27 | |
| 11 | 5 | |
| 12 | 5 | |
| 13 | SEQUENTIAL EM LEARNING FOR SUBSPACE ANALYSIS | 1 |
| 14 | APPROXIMATE MAXIMUM LIKELIHOOD SOURCE SEPARATION | 1 |
| 15 | Application Of Non-Negative Matrix Factorization To Dynamic Positron Emission Tomography | 25 |
| 16 | Nonstationary Source Separation | 1 |
| 17 | Incorporating the Temporal Structure of Sources into Independent Component Analysis | 1 |
| 18 | Adaptive Blind Equalization for Multichannel Transmission via Temporal Decorrelation | 3 |
| 19 | Temporal Decorrelation-based Blind Equalization (TDBE) Algorithm for Multichannel Transmission | 1 |
| 20 | A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria. | 1 |
About Seungjin Choi
Seungjin Choi is a scholar working on Signal Processing, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 131 papers that have together received 2.8k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (64 papers), Neural Networks and Applications (30 papers) and Face and Expression Recognition (24 papers). The work is most often cited by research in Computational Mathematics (139 citations), Signal Processing (987 citations) and Computer Vision and Pattern Recognition (1.0k citations). Seungjin Choi has collaborated with scholars based in South Korea, Japan and United States. Frequent 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. Their work appears in journals such as Bioinformatics, IEEE Access and Frontiers in Immunology.
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.