Can Li
Impact in
- Materials Chemistry top 10%
- Graphene research and applications
- Catalytic Processes in Materials Science
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- Quantum and electron transport phenomena
- Topological Materials and Phenomena
Papers in
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- Surface Chemistry and Catalysis 15
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- Graphene research and applications 10
- Co-authors
- Qihua Yang (3 shared papers)Shiyong Wang (17 shared papers)Zaihong Guan (2 shared papers)Mingrun Li (1 shared paper)Zhijian Chen (1 shared paper)Hao Zheng (9 shared papers)Jinfeng Jia (9 shared papers)Yaoyi Li (9 shared papers)
- Journals
- Journal of the American Chemical Society (5 papers)Nature Communications (3 papers)Nano Letters (2 papers)Physical Review Letters (2 papers)Nature Chemistry (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Can Li
44 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Materials Chemistry 618
- Atomic and Molecular Physics, and Optics 300
- Biomedical Engineering 399
- Inorganic Chemistry 128
- Organic Chemistry 222
Countries citing papers authored by Can Li
This map shows the geographic impact of Can Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Li more than expected).
Fields of papers citing papers by Can Li
This network shows the impact of papers produced by Can Li. 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 Li. The network helps show where Can Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Li, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 206 | |
| 2 | 2017 | 86 | |
| 3 | 2019 | 80 | |
| 4 | 2008 | 75 | |
| 5 | 2022 | 66 | |
| 6 | 2020 | 65 | |
| 7 | 2020 | 64 | |
| 8 | 2013 | 56 | |
| 9 | 2020 | 55 | |
| 10 | 2022 | 50 | |
| 11 | 2020 | 45 | |
| 12 | 2018 | 41 | |
| 13 | 2019 | 40 | |
| 14 | 2021 | 34 | |
| 15 | 2020 | 32 | |
| 16 | 2011 | 32 | |
| 17 | 2017 | 31 | |
| 18 | 2003 | 28 | |
| 19 | 2023 | 24 | |
| 20 | 2012 | 23 |
About Can Li
Can Li is a scholar working on Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Inorganic Chemistry, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Surface Chemistry and Catalysis (15 papers), Graphene research and applications (10 papers), Molecular Junctions and Nanostructures (9 papers), Asymmetric Hydrogenation and Catalysis (8 papers), Quantum and electron transport phenomena (7 papers), Advanced biosensing and bioanalysis techniques (4 papers), Synthesis and Properties of Aromatic Compounds (4 papers) and Topological Materials and Phenomena (3 papers). The work is most often cited by research in Materials Chemistry (618 citations), Atomic and Molecular Physics, and Optics (300 citations), Biomedical Engineering (399 citations), Inorganic Chemistry (128 citations) and Organic Chemistry (222 citations). Can Li has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Qihua Yang, Shiyong Wang, Zaihong Guan, Mingrun Li, Zhijian Chen, Hao Zheng, Jinfeng Jia, Yaoyi Li, Canhua Liu and Hengquan Yang. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications, Nano Letters, Physical Review Letters and Nature Chemistry.
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.