Yunyu Chen
Impact in
- Biochemistry top 10%
-
- Immunotherapy and Immune Responses
Papers in
-
- Computational Drug Discovery Methods 9
- Co-authors
- Chih‐Hung Ko (3 shared papers)Peng‐Wei Wang (1 shared paper)Yi‐Chun Yeh (1 shared paper)Ju‐Yu Yen (1 shared paper)Tai‐Ling Liu (1 shared paper)Yuh‐Lang Lee (5 shared papers)Chia-Li Wei (1 shared paper)Chih-Chieh Hsu (1 shared paper)
- Journals
- Frontiers in Cardiovascular Medicine (3 papers)Journal of Power Sources (2 papers)Journal of Medical Virology (2 papers)PLoS ONE (2 papers)Frontiers in Microbiology (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Yunyu Chen
66 papers receiving 746 citations
Peers
Comparison fields: 5 of 126
- Biochemistry 46
- Immunology 106
- Applied Psychology 20
- Renewable Energy, Sustainability and the Environment 60
- Molecular Biology 242
Countries citing papers authored by Yunyu Chen
This map shows the geographic impact of Yunyu 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 Yunyu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunyu Chen more than expected).
Fields of papers citing papers by Yunyu Chen
This network shows the impact of papers produced by Yunyu 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 Yunyu Chen. The network helps show where Yunyu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yunyu 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
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 84 | |
| 2 | 2013 | 67 | |
| 3 | 2012 | 54 | |
| 4 | 2016 | 43 | |
| 5 | 2020 | 32 | |
| 6 | 1999 | 31 | |
| 7 | 2018 | 30 | |
| 8 | {Using Knowledge-poor Coreference Resolution for Text Summarization} | 2003 | 30 |
| 9 | 2021 | 25 | |
| 10 | 2016 | 21 | |
| 11 | 2019 | 20 | |
| 12 | 2023 | 17 | |
| 13 | 2016 | 17 | |
| 14 | 2017 | 16 | |
| 15 | 2020 | 15 | |
| 16 | 2019 | 15 | |
| 17 | 2017 | 14 | |
| 18 | 2018 | 13 | |
| 19 | 2022 | 12 | |
| 20 | 2020 | 11 |
About Yunyu Chen
Yunyu Chen is a scholar working on Molecular Biology, Computational Theory and Mathematics, Immunology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 70 papers that have together received 772 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Advanced Photocatalysis Techniques (5 papers), TiO2 Photocatalysis and Solar Cells (5 papers), Atrial Fibrillation Management and Outcomes (4 papers), Cancer Research and Treatments (4 papers), Quantum Dots Synthesis And Properties (4 papers), Autophagy in Disease and Therapy (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Biochemistry (46 citations), Immunology (106 citations), Applied Psychology (20 citations), Renewable Energy, Sustainability and the Environment (60 citations) and Molecular Biology (242 citations). Yunyu Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Chih‐Hung Ko, Peng‐Wei Wang, Yi‐Chun Yeh, Ju‐Yu Yen, Tai‐Ling Liu, Yuh‐Lang Lee, Chia-Li Wei, Chih-Chieh Hsu, Ying-Chieh Tsai and Stephanie Wickham. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Journal of Power Sources, Journal of Medical Virology, PLoS ONE and Frontiers in Microbiology.
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.