Ying Hung
Impact in
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- Probabilistic and Robust Engineering Design
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Advanced Multi-Objective Optimization Algorithms 23
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- Optimal Experimental Design Methods 20
- Co-authors
- V. Roshan Joseph (5 shared papers)Agus Sudjianto (1 shared paper)Ray‐Bing Chen (4 shared papers)Weichung Wang (3 shared papers)Shreyes N. Melkote (2 shared papers)Chung-Ching Lin (2 shared papers)Xinwei Deng (3 shared papers)C. Devon Lin (2 shared papers)
- Journals
- Statistica Sinica (7 papers)Journal of the American Statistical Association (6 papers)Computational Statistics & Data Analysis (2 papers)Technometrics (2 papers)Bioinformatics (1 paper)
- Partner nations
- United StatesTaiwanNetherlands
In The Last Decade
Ying Hung
36 papers receiving 854 citations
Peers
Comparison fields: 5 of 92
- Statistics, Probability and Uncertainty 292
- Computational Theory and Mathematics 479
- Management Science and Operations Research 337
- Industrial and Manufacturing Engineering 77
- Statistics and Probability 57
Countries citing papers authored by Ying Hung
This map shows the geographic impact of Ying Hung'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 Ying Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Hung more than expected).
Fields of papers citing papers by Ying Hung
This network shows the impact of papers produced by Ying Hung. 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 Ying Hung. The network helps show where Ying Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Hung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 215 | |
| 2 | ORTHOGONAL-MAXIMIN LATIN HYPERCUBE DESIGNS | 2008 | 208 |
| 3 | 2012 | 65 | |
| 4 | 2020 | 43 | |
| 5 | 2013 | 42 | |
| 6 | 2011 | 32 | |
| 7 | 2009 | 31 | |
| 8 | 2021 | 29 | |
| 9 | 2014 | 27 | |
| 10 | 2017 | 24 | |
| 11 | 2013 | 24 | |
| 12 | EFFECT OF MEASUREMENT ERROR ON MONITORING MULTIVARIATE PROCESS VARIABILITY | 2007 | 19 |
| 13 | 2018 | 16 | |
| 14 | 2019 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2013 | 11 | |
| 18 | 2008 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2008 | 8 |
About Ying Hung
Ying Hung is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Statistics, Probability and Uncertainty, Artificial Intelligence and Electrical and Electronic Engineering, having authored 40 papers that have together received 893 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (23 papers), Optimal Experimental Design Methods (20 papers), Probabilistic and Robust Engineering Design (11 papers), Gaussian Processes and Bayesian Inference (8 papers), Advanced Statistical Process Monitoring (3 papers), Human Pose and Action Recognition (2 papers), Metal Forming Simulation Techniques (2 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (292 citations), Computational Theory and Mathematics (479 citations), Management Science and Operations Research (337 citations), Industrial and Manufacturing Engineering (77 citations) and Statistics and Probability (57 citations). Ying Hung has collaborated with scholars based in United States, Taiwan and Netherlands. Frequent co-authors include V. Roshan Joseph, Agus Sudjianto, Ray‐Bing Chen, Weichung Wang, Shreyes N. Melkote, Chung-Ching Lin, Xinwei Deng, C. Devon Lin, Rogério Feris and Longcheen Huwang. Their work appears in journals such as Statistica Sinica, Journal of the American Statistical Association, Computational Statistics & Data Analysis, Technometrics and Bioinformatics.
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.