Yoonsuh Jung

20 papers receiving 777 citations

Yoonsuh Jung's Hit Papers

Multiple predicting K -fold cross-validation for model selection 2017 · 379 citations
3790+3+7Years since publication100200300

Peers

Yoonsuh Jung
Comparison fields: 5 of 159
  • Environmental Engineering 54
  • Statistics, Probability and Uncertainty 25
  • Statistics and Probability 28
  • Analytical Chemistry 32
  • Health Information Management 13
Replace Damjan Krstajić with:
Damjan Krstajić United States
Simon Thomas United Kingdom
Joaquim P. Marques de Sá Portugal
Tadayoshi Fushiki Japan
Antonio Sutera Belgium
Sergio González Spain
Philipp Probst Germany
Pedro Santoro Perez Brazil
Aris Perperoglou United Kingdom
William Lefebvre France
Yoonsuh Jung relative to Damjan Krstajić United States Damjan Krstajić's profile →
Citations per field
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Damjan Krstajić · 1×
Citations per year

Countries citing papers authored by Yoonsuh Jung

Since Specialization
Citations

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

Fields of papers citing papers by Yoonsuh Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Yoonsuh Jung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yoonsuh Jung Line = papers co-authored together Yoonsuh Jung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multiple predicting K -fold cross-validation for model selection
Hit paper breakdown →
2017379
2
AK-fold averaging cross-validation procedure
Hit paper breakdown →
2015296
3 201425
4 201420
5 201615
6 201414
7 20149
8 20187
9 20166
10 20225
11 20184
12 20222
13 20212
14 20212
15 20202
16
Regularization of Case Specific Parameters: A New Approach for Improving Robustness and/or Efficiency of Statistical Methods
20101
17 20211
18 20121
19 20161
20 20221

About Yoonsuh Jung

Yoonsuh Jung is a scholar working on Statistics and Probability, Molecular Biology, Control and Systems Engineering, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 25 papers that have together received 794 indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Advanced Statistical Methods and Models (7 papers), Gene expression and cancer classification (4 papers), Advanced Statistical Process Monitoring (4 papers), Control Systems and Identification (2 papers), Genetic and phenotypic traits in livestock (2 papers), Bioinformatics and Genomic Networks (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Environmental Engineering (54 citations), Statistics, Probability and Uncertainty (25 citations), Statistics and Probability (28 citations), Analytical Chemistry (32 citations) and Health Information Management (13 citations). Yoonsuh Jung has collaborated with scholars based in South Korea, United States and New Zealand. Frequent co-authors include Jianhua Hu, Claire Hardie, Michael B. Jameson, Steven N. MacEachern, Yoonkyung Lee, Jianhua Z. Huang, Jimin Park, Jae Suk Yoo, Joon Bum Kim and Sung‐Ho Jung. Their work appears in journals such as Circulation Journal, Journal of Statistical Computation and Simulation, Oncology nursing forum, Statistical Modelling and PLoS ONE.

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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