Yuan Lin
Impact in
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- Chaos control and synchronization
- Complex Network Analysis Techniques
- Quantum chaos and dynamical systems
- Microbiology top 10%
Papers in
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- Gut microbiota and health 4
- Diffusion and Search Dynamics 3
- Machine Learning in Bioinformatics 3
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- Chaos-based Image/Signal Encryption 4
- Advanced Steganography and Watermarking Techniques 3
- Co-authors
- Quan Zou (5 shared papers)Xiangrong Liu (5 shared papers)Mengting Niu (1 shared paper)Fei Guo (1 shared paper)Chunhua Wang (7 shared papers)Zhongzhi Zhang (3 shared papers)Juan Liu (3 shared papers)Shengzheng Wang (1 shared paper)
- Journals
- Briefings in Bioinformatics (3 papers)Optik (3 papers)Foods (2 papers)Applied Microbiology and Biotechnology (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaNorwayUnited States
In The Last Decade
Yuan Lin
41 papers receiving 794 citations
Peers
Comparison fields: 5 of 141
- Statistical and Nonlinear Physics 141
- Microbiology 39
- Molecular Biology 410
- Cancer Research 51
- Computer Vision and Pattern Recognition 64
Countries citing papers authored by Yuan Lin
This map shows the geographic impact of Yuan Lin'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 Yuan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Lin more than expected).
Fields of papers citing papers by Yuan Lin
This network shows the impact of papers produced by Yuan Lin. 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 Yuan Lin. The network helps show where Yuan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuan Lin, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 146 | |
| 2 | 2021 | 95 | |
| 3 | 2019 | 78 | |
| 4 | 2008 | 65 | |
| 5 | 2020 | 60 | |
| 6 | 2019 | 44 | |
| 7 | 2013 | 33 | |
| 8 | 2016 | 33 | |
| 9 | 2023 | 25 | |
| 10 | 2019 | 21 | |
| 11 | 2022 | 18 | |
| 12 | 2015 | 14 | |
| 13 | 2013 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2014 | 13 | |
| 16 | 2022 | 13 | |
| 17 | 2015 | 13 | |
| 18 | 2013 | 11 | |
| 19 | 2019 | 10 | |
| 20 | 2016 | 10 |
About Yuan Lin
Yuan Lin is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence, having authored 50 papers that have together received 813 indexed citations. Recurring topics across this work include Chaos control and synchronization (9 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Chaos-based Image/Signal Encryption (4 papers), Gut microbiota and health (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Diffusion and Search Dynamics (3 papers), Diet and metabolism studies (3 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (141 citations), Microbiology (39 citations), Molecular Biology (410 citations), Cancer Research (51 citations) and Computer Vision and Pattern Recognition (64 citations). Yuan Lin has collaborated with scholars based in China, Norway and United States. Frequent co-authors include Quan Zou, Xiangrong Liu, Mengting Niu, Fei Guo, Chunhua Wang, Zhongzhi Zhang, Juan Liu, Shengzheng Wang, Wei Liu and Lili Zhou. Their work appears in journals such as Briefings in Bioinformatics, Optik, Foods, Applied Microbiology and Biotechnology and Scientific Reports.
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.