Hung Hung
- Statistics and Probability top 0.2%
- Statistical Methods in Clinical Trials 61
- Statistical Methods and Inference 15
- Advanced Causal Inference Techniques 12
- Statistical Methods and Bayesian Inference 10
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- Optimal Experimental Design Methods 32
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- Meta-analysis and systematic reviews 17
- Computational Mathematics top 5%
- Signal Processing top 2%
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- Health Systems, Economic Evaluations, Quality of Life 22
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- GaN-based semiconductor devices and materials 9
- Co-authors
- Robert T. O’NeillSue‐Jane WangM. KavehYi TsongOhidul SiddiquiChin‐Tsang ChiangJohn LawrencePéter Bauer
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Journals
- Journal of Biopharmaceutical Statistics (16 papers)Biometrical Journal (12 papers)Statistics in Biopharmaceutical Research (9 papers)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Hung Hung
110 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 176
- Statistics and Probability 1.5k
- Management Science and Operations Research 630
- Statistics, Probability and Uncertainty 338
- Computational Mathematics 23
- Signal Processing 413
Countries citing papers authored by Hung Hung
This map shows the geographic impact of Hung 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 Hung Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung Hung more than expected).
Fields of papers citing papers by Hung Hung
This network shows the impact of papers produced by Hung 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 Hung Hung. The network helps show where Hung Hung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hung 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | The Effects of Multimedia Assisted Materials for Self-Learning Chinese Characters | 2021 | 1 |
| 3 | 2020 | 3 | |
| 4 | 2020 | 1 | |
| 5 | 2016 | 5 | |
| 6 | 2015 | 14 | |
| 7 | An Introduction to Multilinear Principal Component Analysis | 2014 | 2 |
| 8 | 2013 | 1 | |
| 9 | 2013 | 21 | |
| 10 | 2013 | 6 | |
| 11 | 2013 | 18 | |
| 12 | Matrix Variate Logistic Regression Analysis | 2011 | 1 |
| 13 | 2011 | 64 | |
| 14 | 2010 | 20 | |
| 15 | RANDOM WEIGHTING AND EDGEWORTH EXPANSION FOR THE NONPARAMETRIC TIME-DEPENDENT AUC ESTIMATOR | 2009 | 10 |
| 16 | 2009 | 34 | |
| 17 | 2007 | 180 | |
| 18 | 2006 | 23 | |
| 19 | 2005 | 83 | |
| 20 | 2002 | 34 |
About Hung Hung
Hung Hung is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Computational Mathematics and Signal Processing, having authored 114 papers that have together received 2.9k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (61 papers), Optimal Experimental Design Methods (32 papers), Health Systems, Economic Evaluations, Quality of Life (22 papers), Meta-analysis and systematic reviews (17 papers), Statistical Methods and Inference (15 papers), Advanced Causal Inference Techniques (12 papers), Statistical Methods and Bayesian Inference (10 papers) and GaN-based semiconductor devices and materials (9 papers). The work is most often cited by research in Statistics and Probability (1.5k citations), Management Science and Operations Research (630 citations), Statistics, Probability and Uncertainty (338 citations), Computational Mathematics (23 citations) and Signal Processing (413 citations). Hung Hung has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Robert T. O’Neill, Sue‐Jane Wang, M. Kaveh, Yi Tsong, Ohidul Siddiqui, Chin‐Tsang Chiang, John Lawrence, Péter Bauer, Lu Cui and Yeh‐Fong Chen. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Biometrical Journal, Statistics in Biopharmaceutical Research, Statistics in Medicine and Pharmaceutical Statistics.
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.