Can Chen
- Computational Mathematics top 5%
-
- Nonlinear Waves and Solitons 10
- Nonlinear Photonic Systems 9
- Modeling and Simulation top 5%
- Filtration and Separation top 10%
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies 26
- Advanced biosensing and bioanalysis techniques 7
- CRISPR and Genetic Engineering 6
- Microbial Metabolic Engineering and Bioproduction 6
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- Microbial Community Ecology and Physiology 16
- Bacteriophages and microbial interactions 7
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (16 papers)Current Microbiology (7 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Can Chen
107 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 150
- Computational Mathematics 20
- Statistical and Nonlinear Physics 189
- Modeling and Simulation 61
- Filtration and Separation 25
- Molecular Biology 769
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 10 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 38 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 23 | |
| 14 | 2022 | 26 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 12 | |
| 19 | 2021 | 33 | |
| 20 | 2020 | 4 |
About Can Chen
Can Chen is a scholar working on Computational Mathematics, Microbiology, Molecular Biology, Statistical and Nonlinear Physics and Biotechnology, having authored 115 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (26 papers), Microbial Community Ecology and Physiology (16 papers), Nonlinear Waves and Solitons (10 papers), Nonlinear Photonic Systems (9 papers), Bacteriophages and microbial interactions (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), CRISPR and Genetic Engineering (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). The work is most often cited by research in Computational Mathematics (20 citations), Statistical and Nonlinear Physics (189 citations), Modeling and Simulation (61 citations), Filtration and Separation (25 citations) and Molecular Biology (769 citations). Can Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yi Tao, Qian Lei, Yang‐Yu Liu, Weiguo Rui, Bin He, Xihui Shen, Yao Long, Meiru Si, Zhengrong Liu and Indika Rajapakse. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Current Microbiology, Scientific Reports, Analytical Chemistry and Microbiological Research.
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.