Kun Chen
Impact in
- Computational Mathematics top 2%
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
Papers in
-
- Statistical Methods and Inference 39
- Advanced Statistical Methods and Models 12
- Statistical Methods and Applications 7
- Soil Science 18
- Soil Carbon and Nitrogen Dynamics 14
- Co-authors
- Gui Jin (3 shared papers)Fei Wang (10 shared papers)Yongliang Zhang (1 shared paper)Dali Wang (1 shared paper)Nan Hu (1 shared paper)Shengmei Niu (1 shared paper)Huixin Lian (1 shared paper)Jianren Li (1 shared paper)
- Journals
- PLoS ONE (8 papers)Scientific Reports (5 papers)The Annals of Applied Statistics (5 papers)Biometrics (4 papers)Cold Regions Science and Technology (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kun Chen
296 papers receiving 7.2k citations
Kun Chen's Hit Papers
Peers
Comparison fields: 5 of 202
- Computational Mathematics 40
- Statistics and Probability 592
- Modeling and Simulation 213
- Soil Science 487
- Environmental Chemistry 286
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 316 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 | 859 |
| 2 | 2020 | 280 | |
| 3 | 2006 | 264 | |
| 4 | 2019 | 206 | |
| 5 | 2013 | 178 | |
| 6 | 2011 | 153 | |
| 7 | 2019 | 151 | |
| 8 | 2015 | 133 | |
| 9 | 2021 | 123 | |
| 10 | 2020 | 112 | |
| 11 | 2022 | 112 | |
| 12 | 2016 | 108 | |
| 13 | 1994 | 97 | |
| 14 | 2007 | 96 | |
| 15 | 2017 | 95 | |
| 16 | 2017 | 89 | |
| 17 | 2011 | 84 | |
| 18 | 2020 | 82 | |
| 19 | 2020 | 81 | |
| 20 | Gasdermin D inhibition confers antineutrophil-mediated cardioprotection in acute myocardial infarction | 2022 | 81 |
About Kun Chen
Kun Chen is a scholar working on Statistics and Probability, Soil Science, Atmospheric Science, Artificial Intelligence and Clinical Psychology, having authored 316 papers that have together received 7.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (39 papers), Soil Carbon and Nitrogen Dynamics (14 papers), Suicide and Self-Harm Studies (14 papers), Gut microbiota and health (14 papers), Advanced Statistical Methods and Models (12 papers), Climate change and permafrost (11 papers), Bipolar Disorder and Treatment (7 papers) and Statistical Methods and Applications (7 papers). The work is most often cited by research in Computational Mathematics (40 citations), Statistics and Probability (592 citations), Modeling and Simulation (213 citations), Soil Science (487 citations) and Environmental Chemistry (286 citations). Kun Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gui Jin, Fei Wang, Yongliang Zhang, Dali Wang, Nan Hu, Shengmei Niu, Huixin Lian, Jianren Li, Jing Lou and Gang Chen. Their work appears in journals such as PLoS ONE, Scientific Reports, The Annals of Applied Statistics, Biometrics 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.