Yoonsuh Jung
- Artificial Intelligence
- Cardiology and Cardiovascular Medicine
- Biomedical Engineering
- Mechanical Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Jianhua HuMichael B. JamesonClaire HardieSteven N. MacEachernYoonkyung LeeJoon Bum KimJimin ParkJianhua Z. Huang
- Topics
- Statistical Methods and Inference (11 papers)Advanced Statistical Methods and Models (7 papers)Advanced Statistical Process Monitoring (4 papers)
- Journals
- Journal of the American Statistical AssociationPLoS ONEStatistical Methods in Medical Research
- Partner nations
- South KoreaUnited StatesNew Zealand
In The Last Decade
Yoonsuh Jung
19 papers receiving 716 citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Artificial Intelligence 87
- Cardiology and Cardiovascular Medicine 70
- Biomedical Engineering 63
- Mechanical Engineering 62
- Radiology, Nuclear Medicine and Imaging 61
Countries citing papers authored by Yoonsuh Jung
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
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-authorship network of co-authors of Yoonsuh Jung
This figure shows the co-authorship network connecting the top 25 collaborators of Yoonsuh Jung. A scholar is included among the top collaborators of Yoonsuh Jung 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 Yoonsuh Jung. Yoonsuh Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | Multiple predicting K -fold cross-validation for model selectionbreakdown → | 350 |
| 12 | 1 | |
| 13 | 15 | |
| 14 | AK-fold averaging cross-validation procedurebreakdown → | 273 |
| 15 | 8 | |
| 16 | 24 | |
| 17 | 20 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | Regularization of Case Specific Parameters: A New Approach for Improving Robustness and/or Efficiency of Statistical Methods | 1 |
About Yoonsuh Jung
Yoonsuh Jung is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Human-Computer Interaction, having authored 23 papers that have together received 736 indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (7 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Environmental Engineering (55 citations), Health Informatics (5 citations) and Statistics, Probability and Uncertainty (24 citations). Yoonsuh Jung has collaborated with scholars based in South Korea, United States and New Zealand. Frequent co-authors include Jianhua Hu, Michael B. Jameson, Claire Hardie, Steven N. MacEachern, Yoonkyung Lee, Joon Bum Kim, Jimin Park, Jianhua Z. Huang, Sung‐Ho Jung and Suk Jung Choo. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and Statistical Methods in Medical Research.
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.