Junyuan Lin
Impact in
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- Advanced Mathematical Modeling in Engineering
- Matrix Theory and Algorithms
Papers in
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- Genetics, Bioinformatics, and Biomedical Research 1
- Wnt/β-catenin signaling in development and cancer 1
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- Complex Network Analysis Techniques 2
- Co-authors
- Xiaozhe Hu (4 shared papers)Ludmil Zikatanov (1 shared paper)Benjamin Hescott (2 shared papers)Lenore Cowen (1 shared paper)Julio Sáez-Rodríguez (1 shared paper)Mattia Tomasoni (1 shared paper)Dezhi Wu (1 shared paper)Abhay Nath Mishra (1 shared paper)
- Journals
- SIAM Journal on Scientific Computing (2 papers)Networks and Heterogeneous Media (1 paper)Numerical Linear Algebra with Applications (1 paper)Journal of Medical Internet Research (1 paper)2022 IEEE International Conference on Big Data (Big Data) (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Junyuan Lin
8 papers receiving 30 citations
Peers
Comparison fields: 5 of 31
- Computational Mathematics 1
- Computational Theory and Mathematics 12
- Ocean Engineering 9
- Transportation 3
- Computational Mechanics 7
Countries citing papers authored by Junyuan Lin
This map shows the geographic impact of Junyuan 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 Junyuan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyuan Lin more than expected).
Fields of papers citing papers by Junyuan Lin
This network shows the impact of papers produced by Junyuan 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 Junyuan Lin. The network helps show where Junyuan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyuan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 11 | |
| 2 | 2019 | 9 | |
| 3 | 2018 | 4 | |
| 4 | 2018 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2022 | 1 | |
| 8 | [Pleurotus ferulae polysaccharide adjuvant enhances the immune infertility of CZP3DNA vaccine]. | 2017 | 1 |
| 9 | 2023 | 0 | |
| 10 | A study of methods for fine-grained object classification of arthropod specimens | 2013 | 0 |
About Junyuan Lin
Junyuan Lin is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Artificial Intelligence, Computational Theory and Mathematics and Surgery, having authored 10 papers that have together received 32 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (2 papers), Advanced Graph Neural Networks (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Evacuation and Crowd Dynamics (1 paper), Social Media and Politics (1 paper), Tensor decomposition and applications (1 paper), Sentiment Analysis and Opinion Mining (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Computational Mathematics (1 citation), Computational Theory and Mathematics (12 citations), Ocean Engineering (9 citations), Transportation (3 citations) and Computational Mechanics (7 citations). Junyuan Lin has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Xiaozhe Hu, Ludmil Zikatanov, Benjamin Hescott, Lenore Cowen, Julio Sáez-Rodríguez, Mattia Tomasoni, Dezhi Wu, Abhay Nath Mishra, Sarvenaz Choobdar and Fuchun Zhang. Their work appears in journals such as SIAM Journal on Scientific Computing, Networks and Heterogeneous Media, Numerical Linear Algebra with Applications, Journal of Medical Internet Research and 2022 IEEE International Conference on Big Data (Big Data).
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.