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 21
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- Optimal Experimental Design Methods 18
- Co-authors
- V. Roshan Joseph (5 shared papers)Agus Sudjianto (1 shared paper)Shreyes N. Melkote (2 shared papers)Weichung Wang (3 shared papers)Ray‐Bing Chen (4 shared papers)Chung-Ching Lin (2 shared papers)Longcheen Huwang (1 shared paper)Rogério Feris (1 shared paper)
- Journals
- Statistica Sinica (7 papers)Journal of the American Statistical Association (6 papers)Computational Statistics & Data Analysis (2 papers)Technometrics (2 papers)IEEE Transactions on Automation Science and Engineering (1 paper)
- Partner nations
- United StatesTaiwanNetherlands
In The Last Decade
Ying Hung
32 papers receiving 780 citations
Peers
Comparison fields: 5 of 92
- Statistics, Probability and Uncertainty 272
- Computational Theory and Mathematics 447
- Management Science and Operations Research 316
- Industrial and Manufacturing Engineering 65
- Statistics and Probability 53
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 204 | |
| 2 | ORTHOGONAL-MAXIMIN LATIN HYPERCUBE DESIGNS | 2008 | 198 |
| 3 | 2012 | 61 | |
| 4 | 2013 | 41 | |
| 5 | 2020 | 36 | |
| 6 | 2011 | 31 | |
| 7 | 2009 | 30 | |
| 8 | 2021 | 28 | |
| 9 | 2014 | 26 | |
| 10 | 2013 | 21 | |
| 11 | EFFECT OF MEASUREMENT ERROR ON MONITORING MULTIVARIATE PROCESS VARIABILITY | 2007 | 19 |
| 12 | 2018 | 14 | |
| 13 | 2019 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2013 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2015 | 8 | |
| 18 | 2008 | 8 | |
| 19 | 2008 | 8 | |
| 20 | 2017 | 6 |
About Ying Hung
Ying Hung is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Artificial Intelligence, Statistics, Probability and Uncertainty and Electrical and Electronic Engineering, having authored 37 papers that have together received 818 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (21 papers), Optimal Experimental Design Methods (18 papers), Probabilistic and Robust Engineering Design (9 papers), Gaussian Processes and Bayesian Inference (8 papers), Advanced Statistical Process Monitoring (3 papers), Metal Forming Simulation Techniques (2 papers), Evolutionary Algorithms and Applications (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (272 citations), Computational Theory and Mathematics (447 citations), Management Science and Operations Research (316 citations), Industrial and Manufacturing Engineering (65 citations) and Statistics and Probability (53 citations). Ying Hung has collaborated with scholars based in United States, Taiwan and Netherlands. Frequent co-authors include V. Roshan Joseph, Agus Sudjianto, Shreyes N. Melkote, Weichung Wang, Ray‐Bing Chen, Chung-Ching Lin, Longcheen Huwang, Rogério Feris, Xinwei Deng and Cheng Zhu. Their work appears in journals such as Statistica Sinica, Journal of the American Statistical Association, Computational Statistics & Data Analysis, Technometrics and IEEE Transactions on Automation Science and Engineering.
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.