Can Chen

2.8k citations
140 papers · 1.9k · h-index 25

Impact in

Papers in

    • Genomics and Phylogenetic Studies 27
    • Microbial Metabolic Engineering and Bioproduction 7
    • Advanced biosensing and bioanalysis techniques 7
    • Nonlinear Waves and Solitons 10
    • Nonlinear Photonic Systems 9

Can Chen

130 papers receiving 1.9k citations

Peers

Can Chen
Comparison fields: 5 of 155
  • Computational Mathematics 37
  • Statistical and Nonlinear Physics 200
  • Modeling and Simulation 60
  • Molecular Biology 865
  • Filtration and Separation 26
Replace Philipp Thomas with:
Philipp Thomas United Kingdom
Xinran Xu United States
Jinjin Guo China
Assaf Gottlieb United States
Yuan Jiang China
Matthias Reuß Germany
Hiroyuki Kurata Japan
Martin Held Switzerland
Christophe H. Schilling United States
Wenfei Wang China
Can Chen relative to Philipp Thomas United Kingdom Philipp Thomas's profile →
Citations per field
00.5×5×10×13×
Philipp Thomas · 1×
Citations per year

Countries citing papers authored by Can Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Can Chen Line = papers co-authored together Can Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018139
2 201469
3 202062
4 201544
5 200744
6 202343
7 201543
8 201541
9 202139
10 202139
11 202337
12 201834
13 201433
14 200533
15 202332
16 200431
17 202130
18 202230
19 200429
20 202029

About Can Chen

Can Chen is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Ecology, Biotechnology and Computational Mathematics, having authored 140 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (27 papers), Microbial Community Ecology and Physiology (16 papers), Nonlinear Waves and Solitons (10 papers), Nonlinear Photonic Systems (9 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Microbial Natural Products and Biosynthesis (6 papers) and Bacteriophages and microbial interactions (6 papers). The work is most often cited by research in Computational Mathematics (37 citations), Statistical and Nonlinear Physics (200 citations), Modeling and Simulation (60 citations), Molecular Biology (865 citations) and Filtration and Separation (26 citations). Can Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qian Lei, Yang‐Yu Liu, Yi Tao, Indika Rajapakse, Bin He, Weiguo Rui, Xihui Shen, Meiru Si, Zhengrong Liu and Yao Long. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Current Microbiology, Scientific Reports, Analytical Chemistry and IEEE Control Systems Letters.

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.

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