Philip E. Cheng
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
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- Probability and Risk Models
- Psychometric Methodologies and Testing
Papers in
-
- Statistical Methods and Inference 15
- Advanced Statistical Methods and Models 11
- Statistical Methods and Bayesian Inference 11
- Statistical Distribution Estimation and Applications 4
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- Psychometric Methodologies and Testing 5
- Co-authors
- Michelle Liou (29 shared papers)Zhidong Bai (2 shared papers)Gwo Dong Lin (1 shared paper)Arthur Chih-Hsin Tsai (5 shared papers)John A. D. Aston (8 shared papers)Eugene G. Johnson (2 shared papers)Chien-Chih Huang (1 shared paper)Chih‐Hsin Tsai (1 shared paper)
- Journals
- Applied Psychological Measurement (4 papers)Journal of the American Statistical Association (3 papers)Statistica Sinica (3 papers)NeuroImage (3 papers)Psychophysiology (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Philip E. Cheng
39 papers receiving 670 citations
Peers
Comparison fields: 5 of 85
- Statistics and Probability 493
- Management Science and Operations Research 195
- Finance 45
- Cognitive Neuroscience 88
- Artificial Intelligence 150
Countries citing papers authored by Philip E. Cheng
This map shows the geographic impact of Philip E. Cheng'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 Philip E. Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip E. Cheng more than expected).
Fields of papers citing papers by Philip E. Cheng
This network shows the impact of papers produced by Philip E. Cheng. 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 Philip E. Cheng. The network helps show where Philip E. Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip E. Cheng, 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 | 1994 | 189 | |
| 2 | 1987 | 78 | |
| 3 | 2000 | 73 | |
| 4 | 1994 | 36 | |
| 5 | 2003 | 30 | |
| 6 | 1984 | 28 | |
| 7 | 1995 | 24 | |
| 8 | 2001 | 24 | |
| 9 | 2006 | 21 | |
| 10 | 2000 | 21 | |
| 11 | 2005 | 20 | |
| 12 | 2017 | 20 | |
| 13 | 1997 | 18 | |
| 14 | 1990 | 17 | |
| 15 | 1989 | 14 | |
| 16 | 1995 | 13 | |
| 17 | An extension of the Hardy-Littlewood strong law | 1997 | 10 |
| 18 | 2003 | 10 | |
| 19 | Information identities and testing hypotheses: Power analysis for contingency tables. | 2008 | 8 |
| 20 | 2010 | 8 |
About Philip E. Cheng
Philip E. Cheng is a scholar working on Statistics and Probability, Management Science and Operations Research, Cognitive Neuroscience, Artificial Intelligence and Computer Networks and Communications, having authored 40 papers that have together received 732 indexed citations. Recurring topics across this work include Statistical Methods and Inference (15 papers), Advanced Statistical Methods and Models (11 papers), Statistical Methods and Bayesian Inference (11 papers), Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (7 papers), Bayesian Methods and Mixture Models (6 papers), Psychometric Methodologies and Testing (5 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Statistics and Probability (493 citations), Management Science and Operations Research (195 citations), Finance (45 citations), Cognitive Neuroscience (88 citations) and Artificial Intelligence (150 citations). Philip E. Cheng has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Michelle Liou, Zhidong Bai, Gwo Dong Lin, Arthur Chih-Hsin Tsai, John A. D. Aston, Eugene G. Johnson, Chien-Chih Huang, Chih‐Hsin Tsai, Julie Onton and Scott Makeig. Their work appears in journals such as Applied Psychological Measurement, Journal of the American Statistical Association, Statistica Sinica, NeuroImage and Psychophysiology.
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.