Baoping Yan
Impact in
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
-
- Caching and Content Delivery 13
- Co-authors
- John Y. Takekawa (14 shared papers)Diann J. Prosser (14 shared papers)Scott H. Newman (11 shared papers)Fumin Lei (13 shared papers)Tianxian Li (14 shared papers)David C. Douglas (8 shared papers)Xiao Wu (1 shared paper)Yuansheng Hou (9 shared papers)
- Journals
- Avian Diseases (3 papers)Computer Communications (2 papers)Remote Sensing (2 papers)Animals (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Baoping Yan
92 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Agronomy and Crop Science 340
- Ecological Modeling 73
- Infectious Diseases 282
- Epidemiology 409
- Modeling and Simulation 52
Countries citing papers authored by Baoping Yan
This map shows the geographic impact of Baoping Yan'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 Baoping Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoping Yan more than expected).
Fields of papers citing papers by Baoping Yan
This network shows the impact of papers produced by Baoping Yan. 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 Baoping Yan. The network helps show where Baoping Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Baoping Yan, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 134 | |
| 2 | 2011 | 98 | |
| 3 | 2014 | 95 | |
| 4 | 2009 | 92 | |
| 5 | 2010 | 86 | |
| 6 | 2012 | 57 | |
| 7 | 2010 | 48 | |
| 8 | 2009 | 45 | |
| 9 | 2008 | 41 | |
| 10 | 2010 | 25 | |
| 11 | 2013 | 25 | |
| 12 | 2007 | 24 | |
| 13 | Seasonal movements and migration of Pallas's Gulls Larus ichthyaetus from Qinghai Lake, China | 2008 | 20 |
| 14 | 2024 | 18 | |
| 15 | 2010 | 17 | |
| 16 | 2018 | 17 | |
| 17 | 2015 | 16 | |
| 18 | 2010 | 14 | |
| 19 | 2010 | 11 | |
| 20 | 2008 | 11 |
About Baoping Yan
Baoping Yan is a scholar working on Computer Networks and Communications, Information Systems, Epidemiology, Artificial Intelligence and Electrical and Electronic Engineering, having authored 104 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (17 papers), Caching and Content Delivery (13 papers), Animal Disease Management and Epidemiology (12 papers), Species Distribution and Climate Change (10 papers), IPv6, Mobility, Handover, Networks, Security (10 papers), Wildlife Ecology and Conservation (9 papers), Viral Infections and Vectors (9 papers) and Advanced Computational Techniques and Applications (8 papers). The work is most often cited by research in Agronomy and Crop Science (340 citations), Ecological Modeling (73 citations), Infectious Diseases (282 citations), Epidemiology (409 citations) and Modeling and Simulation (52 citations). Baoping Yan has collaborated with scholars based in China, United States and Italy. Frequent co-authors include John Y. Takekawa, Diann J. Prosser, Scott H. Newman, Fumin Lei, Tianxian Li, David C. Douglas, Xiao Wu, Yuansheng Hou, Zhi Xing and Xiangming Xiao. Their work appears in journals such as Avian Diseases, Computer Communications, Remote Sensing, Animals and PLoS ONE.
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.