Hosik Choi

1.1k citations
44 papers · 758 indexed · h-index 12
Topics
Statistical Methods and Inference (7 papers)Bayesian Methods and Mixture Models (6 papers)Gene expression and cancer classification (5 papers)

In The Last Decade

Hosik Choi

40 papers receiving 727 citations

Peers

Hosik Choi
Comparison fields: 5 of 114
  • Statistics and Probability 221
  • Artificial Intelligence 149
  • Epidemiology 139
  • Reproductive Medicine 124
  • Infectious Diseases 118
Replace Zhenzhen Lu with:
Zhenzhen Lu China
Zhenqiu Liu United States
Hyoung‐Moon Kim South Korea
Benjamin A. Miller United States
Jinghe Zhang United States
Staal A. Vinterbo United States
D. Dumitrescu Romania
Richard Dybowski United Kingdom
J. K. Patel United States
Alex Karagrigoriou Greece
Hosik Choi relative to Zhenzhen Lu China Zhenzhen Lu's profile →
Citations per field
00.5×4.1×
Zhenzhen Lu · 1×
Citations per year

Countries citing papers authored by Hosik Choi

Since Specialization
Citations

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

Fields of papers citing papers by Hosik Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hosik Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Hosik Choi. A scholar is included among the top collaborators of Hosik 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 Hosik Choi. Hosik 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
#WorkIndexed citations
1 0
2 2
3 2
4 1
5 3
6 3
7 36
8 15
9 7
10 16
11 3
12
Comparison Study of Outlier Detection Methods in a Regression Model
1
13 2
14
Consistent model selection criteria on high dimensions
58
15 7
16
A Comparison Study of Correlation Modeling
1
17
A Study on Development of Customer Attrition Model in Financial Institution Data
2
18 21
19 109
20 143

About Hosik Choi

Hosik Choi is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, having authored 44 papers that have together received 758 indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (6 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Statistics and Probability (221 citations), Reproductive Medicine (124 citations) and Infectious Diseases (118 citations). Hosik Choi has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Yongdai Kim, Hee‐Seok Oh, Jun Guo, H. Nagai, Viswanath P. Kurup, Sunghoon Kwon, Cheolwoo Park, S. Kim, Changyi Park and Jong‐June Jeon. Their work appears in journals such as Journal of the American Statistical Association, Genetics and Biometrics.

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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