Kun Chen
Impact in
- Computational Mathematics top 2%
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
Papers in
-
- Statistical Methods and Inference 35
- Statistical Methods and Bayesian Inference 16
- Advanced Statistical Methods and Models 16
-
- Gut microbiota and health 15
- Co-authors
- Haobin Dong (1 shared paper)Kalok Chan (1 shared paper)Gui Jin (3 shared papers)Fugen Dou (10 shared papers)Jianren Li (1 shared paper)Ning Liu (1 shared paper)Sijia Tian (1 shared paper)Fei Wang (11 shared papers)
- Journals
- PLoS ONE (8 papers)Scientific Reports (6 papers)Biometrika (6 papers)The Annals of Applied Statistics (5 papers)Cold Regions Science and Technology (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kun Chen
303 papers receiving 6.8k citations
Kun Chen's Hit Papers
Peers
Comparison fields: 5 of 211
- Computational Mathematics 52
- Statistics and Probability 571
- Modeling and Simulation 213
- Soil Science 409
- Biological Psychiatry 87
Countries citing papers authored by Kun Chen
This map shows the geographic impact of Kun 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 Kun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Chen more than expected).
Fields of papers citing papers by Kun Chen
This network shows the impact of papers produced by Kun 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 Kun Chen. The network helps show where Kun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 330 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Characteristics of COVID-19 infection in Beijing Hit paper breakdown → | 2020 | 794 |
| 2 | 2006 | 263 | |
| 3 | Altered gut microbial profile is associated with abnormal metabolism activity of Autism Spectrum Disorder Hit paper breakdown → | 2020 | 259 |
| 4 | 2019 | 204 | |
| 5 | 2013 | 171 | |
| 6 | 2019 | 147 | |
| 7 | 2015 | 132 | |
| 8 | 2021 | 116 | |
| 9 | 1999 | 109 | |
| 10 | 2016 | 104 | |
| 11 | 2020 | 102 | |
| 12 | 2020 | 97 | |
| 13 | 1994 | 96 | |
| 14 | 2016 | 95 | |
| 15 | 2017 | 92 | |
| 16 | 2007 | 91 | |
| 17 | 2011 | 82 | |
| 18 | Gasdermin D inhibition confers antineutrophil-mediated cardioprotection in acute myocardial infarction | 2022 | 81 |
| 19 | 2020 | 79 | |
| 20 | 2020 | 78 |
About Kun Chen
Kun Chen is a scholar working on Statistics and Probability, Molecular Biology, Artificial Intelligence, Soil Science and Pollution, having authored 330 papers that have together received 7.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (35 papers), Soil Carbon and Nitrogen Dynamics (19 papers), Statistical Methods and Bayesian Inference (16 papers), Advanced Statistical Methods and Models (16 papers), Gut microbiota and health (15 papers), Bayesian Methods and Mixture Models (13 papers), Suicide and Self-Harm Studies (11 papers) and Climate change and permafrost (11 papers). The work is most often cited by research in Computational Mathematics (52 citations), Statistics and Probability (571 citations), Modeling and Simulation (213 citations), Soil Science (409 citations) and Biological Psychiatry (87 citations). Kun Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Haobin Dong, Kalok Chan, Gui Jin, Fugen Dou, Jianren Li, Ning Liu, Sijia Tian, Fei Wang, Dou Li and Jinjun Zhang. Their work appears in journals such as PLoS ONE, Scientific Reports, Biometrika, The Annals of Applied Statistics and Cold Regions Science and Technology.
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.