Yan Gu
Impact in
-
- Maternal and fetal healthcare
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- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in ⓘ
- Genetics 6
- Virus-based gene therapy research 4
- Mesenchymal stem cell research 2
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- CRISPR and Genetic Engineering 2
- Co-authors
- Yu Zhang (1 shared paper)John W. McCauley (3 shared papers)Yi Li (1 shared paper)Yipu Lin (3 shared papers)Yin Lirong (1 shared paper)Alan Hay (2 shared papers)Jianmei Wang (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)Computer Modeling in Engineering & Sciences (1 paper)Medicine (1 paper)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Yan Gu
24 papers receiving 249 citations
Peers
Comparison fields: 5 of 86
- Pediatrics, Perinatology and Child Health 42
- Epidemiology 67
- Public Health, Environmental and Occupational Health 54
- Genetics 16
- Agronomy and Crop Science 15
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 48 | |
| 2 | 2011 | 35 | |
| 3 | 2017 | 31 | |
| 4 | 2015 | 28 | |
| 5 | 2020 | 27 | |
| 6 | 2016 | 19 | |
| 7 | 2018 | 12 | |
| 8 | 2009 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 2008 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2016 | 5 | |
| 13 | Comparison of Damage Detection Algorithms Using Time Domain Data | 1997 | 3 |
| 14 | 2024 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2018 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2020 | 1 | |
| 20 | 2023 | 1 |
About Yan Gu
Yan Gu is a scholar working on Genetics, Molecular Biology, Computational Mechanics, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 260 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (5 papers), Virus-based gene therapy research (4 papers), Respiratory viral infections research (3 papers), Influenza Virus Research Studies (3 papers), Mesenchymal stem cell research (2 papers), Facility Location and Emergency Management (2 papers), CRISPR and Genetic Engineering (2 papers) and Numerical methods in inverse problems (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (42 citations), Epidemiology (67 citations), Public Health, Environmental and Occupational Health (54 citations), Genetics (16 citations) and Agronomy and Crop Science (15 citations). Yan Gu has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Yu Zhang, John W. McCauley, Yi Li, Yipu Lin, Yin Lirong, Alan Hay, Jianmei Wang, Yingjie Li, Yang Feng and Kate Sullivan. 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, Computer Modeling in Engineering & Sciences 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.