Jangsun Baek

431 total citations
24 papers, 263 citations indexed

About

Jangsun Baek is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Jangsun Baek has authored 24 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Molecular Biology and 4 papers in Statistics and Probability. Recurrent topics in Jangsun Baek's work include Bayesian Methods and Mixture Models (6 papers), Gene expression and cancer classification (6 papers) and Statistical Methods and Inference (4 papers). Jangsun Baek is often cited by papers focused on Bayesian Methods and Mixture Models (6 papers), Gene expression and cancer classification (6 papers) and Statistical Methods and Inference (4 papers). Jangsun Baek collaborates with scholars based in South Korea, Australia and United States. Jangsun Baek's co-authors include Geoffrey J. McLachlan, L.K. Flack, Min‐Soo Kim, Jeong‐Soo Park, Thomas E. Wehrly, Jeff Miller, Wayne A. Woodward, H. L. Gray, Lili Zhang and Je‐Hwan Lee and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Jangsun Baek

20 papers receiving 247 citations

Peers

Jangsun Baek
Comparison fields: 5 of 74
  • Artificial Intelligence 151
  • Statistics and Probability 72
  • Molecular Biology 64
  • Computer Vision and Pattern Recognition 45
  • Signal Processing 25
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Alexandre G. Patriota Brazil
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Qing Mai United States View profile →
Citations per field, relative to Jangsun Baek
Jangsun Baek · 1×
Citations per year, relative to Jangsun Baek
Jangsun Baek · 1×

Countries citing papers authored by Jangsun Baek

Since Specialization
Citations

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

Fields of papers citing papers by Jangsun Baek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jangsun Baek

This figure shows the co-authorship network connecting the top 25 collaborators of Jangsun Baek. A scholar is included among the top collaborators of Jangsun Baek 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 Jangsun Baek. Jangsun Baek 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
# Work Indexed citations
1 0
2 1
3 1
4 1
5 4
6 0
7 1
8 3
9 2
10 2
11
Mixtures of factor analyzers for the analysis of high-dimensional data
1
12 44
13 87
14
Demension reduction for high-dimensional data via mixtures of common factor analyzers-an application to tumor classification
0
15
Developing a GUI-based Standalone Application of MATLAB Program for Windows
1
16 7
17 21
18 25
19 2
20 8

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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