Can Chen
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
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- Advanced ceramic materials synthesis
Papers in
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- Plant Parasitism and Resistance 5
- Legume Nitrogen Fixing Symbiosis 3
- Plant Physiology and Cultivation Studies 2
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- Mathematical and Theoretical Epidemiology and Ecology Models 7
- Co-authors
- Yanmei Kang (5 shared papers)Jiandong Xing (1 shared paper)Yimin Gao (1 shared paper)Robert J. Smith (2 shared papers)Yun Gao (1 shared paper)Xin Wang (1 shared paper)Jie Huang (1 shared paper)Rui Zhu (1 shared paper)
In The Last Decade
Can Chen
30 papers receiving 445 citations
Peers
Comparison fields: 5 of 98
- Modeling and Simulation 71
- Ceramics and Composites 26
- Public Health, Environmental and Occupational Health 108
- Plant Science 127
- Metals and Alloys 7
Countries citing papers authored by Can Chen
This map shows the geographic impact of Can 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 Can Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Chen more than expected).
Fields of papers citing papers by Can Chen
This network shows the impact of papers produced by Can 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 Can Chen. The network helps show where Can Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 59 | |
| 2 | 2010 | 48 | |
| 3 | 2016 | 38 | |
| 4 | 2016 | 38 | |
| 5 | 2020 | 27 | |
| 6 | 2021 | 24 | |
| 7 | 2016 | 23 | |
| 8 | 2022 | 20 | |
| 9 | 2017 | 19 | |
| 10 | 2017 | 17 | |
| 11 | 2017 | 16 | |
| 12 | 2022 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2014 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2016 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2020 | 7 |
About Can Chen
Can Chen is a scholar working on Plant Science, Public Health, Environmental and Occupational Health, Modeling and Simulation, Mechanics of Materials and Genetics, having authored 31 papers that have together received 455 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Plant Parasitism and Resistance (5 papers), COVID-19 epidemiological studies (4 papers), Evolution and Genetic Dynamics (4 papers), Metal and Thin Film Mechanics (3 papers), Fractional Differential Equations Solutions (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers) and Plant Physiology and Cultivation Studies (2 papers). The work is most often cited by research in Modeling and Simulation (71 citations), Ceramics and Composites (26 citations), Public Health, Environmental and Occupational Health (108 citations), Plant Science (127 citations) and Metals and Alloys (7 citations). Can Chen has collaborated with scholars based in China, Canada and Sri Lanka. Frequent co-authors include Yanmei Kang, Jiandong Xing, Yimin Gao, Robert J. Smith, Yun Gao, Xin Wang, Jie Huang, Rui Zhu, Jiwei Yang and Jun Sun. Their work appears in journals such as Abstract and Applied Analysis, Mathematical Biosciences, Journal of Plant Physiology, Applied Physics Letters and Wear.
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.