Yan Gu
Impact in
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- Influenza Virus Research Studies
- Respiratory viral infections research
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- Ectopic Pregnancy Diagnosis and Management
- Gestational Trophoblastic Disease Studies
Papers in
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- Sparse and Compressive Sensing Techniques 5
- Genetics 5
- Virus-based gene therapy research 3
- Co-authors
- Yu Zhang (1 shared paper)Yipu Lin (3 shared papers)Yi Li (1 shared paper)John W. McCauley (3 shared papers)Jianmei Wang (1 shared paper)Alan Hay (2 shared papers)Yang Feng (1 shared paper)Yingjie Li (1 shared paper)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (2 papers)Journal of Visualized Experiments (2 papers)Journal of Industrial and Management Optimization (2 papers)Influenza and Other Respiratory Viruses (1 paper)Medicine (1 paper)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Yan Gu
24 papers receiving 252 citations
Peers
Comparison fields: 5 of 83
- Epidemiology 67
- Public Health, Environmental and Occupational Health 53
- Genetics 15
- Computer Vision and Pattern Recognition 29
- Media Technology 12
Countries citing papers authored by Yan Gu
This map shows the geographic impact of Yan Gu'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 Yan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Gu more than expected).
Fields of papers citing papers by Yan Gu
This network shows the impact of papers produced by Yan Gu. 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 Yan Gu. The network helps show where Yan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Gu, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 48 | |
| 2 | 2011 | 35 | |
| 3 | 2017 | 31 | |
| 4 | 2015 | 29 | |
| 5 | 2020 | 28 | |
| 6 | 2016 | 19 | |
| 7 | 2018 | 13 | |
| 8 | 2009 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 2008 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2016 | 4 | |
| 13 | 2022 | 3 | |
| 14 | Comparison of Damage Detection Algorithms Using Time Domain Data | 1997 | 3 |
| 15 | 2018 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2020 | 1 |
About Yan Gu
Yan Gu is a scholar working on Computational Mechanics, Genetics, Molecular Biology, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 263 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (5 papers), Virus-based gene therapy research (3 papers), Influenza Virus Research Studies (3 papers), Facility Location and Emergency Management (2 papers), Mechanical Engineering and Vibrations Research (2 papers), Numerical methods in inverse problems (2 papers), Advanced Optimization Algorithms Research (2 papers) and Infrared Target Detection Methodologies (2 papers). The work is most often cited by research in Epidemiology (67 citations), Public Health, Environmental and Occupational Health (53 citations), Genetics (15 citations), Computer Vision and Pattern Recognition (29 citations) and Media Technology (12 citations). Yan Gu has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Yu Zhang, Yipu Lin, Yi Li, John W. McCauley, Jianmei Wang, Alan Hay, Yang Feng, Yingjie Li, Kate Sullivan and Yi Pu Lin. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Visualized Experiments, Journal of Industrial and Management Optimization, Influenza and Other Respiratory Viruses and Medicine.
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.