Kehui Chen
Impact in
- Computational Mathematics top 5%
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
-
- Statistical Methods and Inference 7
- Advanced Statistical Methods and Models 5
- Statistical Methods and Bayesian Inference 4
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- Memory and Neural Mechanisms 4
- Functional Brain Connectivity Studies 4
- Neural dynamics and brain function 4
- Co-authors
- Jing Lei (3 shared papers)Hans‐Georg Müller (7 shared papers)David A. Lewis (6 shared papers)Guillermo González‐Burgos (1 shared paper)Takeaki Miyamae (1 shared paper)Brian K. Lynch (2 shared papers)Pedro Delicado (1 shared paper)Oliver Lindhiem (1 shared paper)
- Journals
- Journal of the American Statistical Association (4 papers)Biometrika (3 papers)Biological Psychiatry (2 papers)Statistica Sinica (2 papers)Cerebral Cortex (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Kehui Chen
34 papers receiving 745 citations
Peers
Comparison fields: 5 of 140
- Computational Mathematics 25
- Statistics and Probability 177
- Biological Psychiatry 50
- Cognitive Neuroscience 175
- Statistical and Nonlinear Physics 104
Countries citing papers authored by Kehui Chen
This map shows the geographic impact of Kehui Chen'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 Kehui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kehui Chen more than expected).
Fields of papers citing papers by Kehui Chen
This network shows the impact of papers produced by Kehui Chen. 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 Kehui Chen. The network helps show where Kehui Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kehui Chen, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 94 | |
| 2 | 2016 | 88 | |
| 3 | 2012 | 63 | |
| 4 | 2017 | 46 | |
| 5 | 2016 | 45 | |
| 6 | 2019 | 43 | |
| 7 | 2016 | 42 | |
| 8 | 2018 | 41 | |
| 9 | 2015 | 39 | |
| 10 | 2015 | 32 | |
| 11 | 2011 | 25 | |
| 12 | 2013 | 22 | |
| 13 | 2019 | 20 | |
| 14 | Conditional quantile analysis when covariates are functions, with application to growth data | 2012 | 17 |
| 15 | 2018 | 16 | |
| 16 | 2018 | 15 | |
| 17 | 2015 | 14 | |
| 18 | 2020 | 12 | |
| 19 | 2013 | 12 | |
| 20 | 2017 | 11 |
About Kehui Chen
Kehui Chen is a scholar working on Statistics and Probability, Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 34 papers that have together received 756 indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Advanced Statistical Methods and Models (5 papers), Statistical Methods and Bayesian Inference (4 papers), Memory and Neural Mechanisms (4 papers), Functional Brain Connectivity Studies (4 papers), Neural dynamics and brain function (4 papers), Tryptophan and brain disorders (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Computational Mathematics (25 citations), Statistics and Probability (177 citations), Biological Psychiatry (50 citations), Cognitive Neuroscience (175 citations) and Statistical and Nonlinear Physics (104 citations). Kehui Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jing Lei, Hans‐Georg Müller, David A. Lewis, Guillermo González‐Burgos, Takeaki Miyamae, Brian K. Lynch, Pedro Delicado, Oliver Lindhiem, Olga V. Berkout and Yu Cheng. Their work appears in journals such as Journal of the American Statistical Association, Biometrika, Biological Psychiatry, Statistica Sinica and Cerebral Cortex.
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.