Huiyan Yu

805 citations
29 papers · 353 · h-index 11

Impact in

Papers in

    • Influenza Virus Research Studies 17
    • Respiratory viral infections research 14
    • Pneumonia and Respiratory Infections 2
    • Viral gastroenteritis research and epidemiology 8
    • Viral Infections and Vectors 5
    • COVID-19 Clinical Research Studies 2
    • SARS-CoV-2 and COVID-19 Research 2

Huiyan Yu

26 papers receiving 346 citations

Peers

Huiyan Yu
Comparison fields: 5 of 65
  • Agronomy and Crop Science 103
  • Infectious Diseases 172
  • Modeling and Simulation 40
  • Epidemiology 217
  • Parasitology 18
Replace Shaoxia Song with:
Shaoxia Song China
Yan-Hua Qian China
Xuesen Xing China
Ruiqi Ren China
Martina Havlíčková Czechia
Takeshi Arashiro Japan
Dae‐Sung Yoo South Korea
Kader Ndiaye Senegal
Kimberly M. Edwards Hong Kong
Michael G. Garner Australia
Huiyan Yu relative to Shaoxia Song China Shaoxia Song's profile →
Citations per field
00.5×3.6×
Shaoxia Song · 1×
Citations per year

Countries citing papers authored by Huiyan Yu

Since Specialization
Citations

This map shows the geographic impact of Huiyan Yu'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 Huiyan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiyan Yu more than expected).

Fields of papers citing papers by Huiyan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huiyan Yu. 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 Huiyan Yu. The network helps show where Huiyan Yu may publish in the future.

Co-authors

The 25 scholars most cited alongside Huiyan Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Huiyan Yu Line = papers co-authored together Huiyan Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201464
2 201852
3 201250
4 201726
5 201824
6 202124
7 201918
8 201513
9 201311
10 201711
11 201710
12 20209
13 20188
14 20216
15 20245
16 20205
17 20224
18 20074
19 20242
20 20241

About Huiyan Yu

Huiyan Yu is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 29 papers that have together received 353 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (17 papers), Respiratory viral infections research (14 papers), Viral gastroenteritis research and epidemiology (8 papers), Viral Infections and Vectors (5 papers), Animal Disease Management and Epidemiology (4 papers), COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Agronomy and Crop Science (103 citations), Infectious Diseases (172 citations), Modeling and Simulation (40 citations), Epidemiology (217 citations) and Parasitology (18 citations). Huiyan Yu has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Xian Qi, Changjun Bao, Lunbiao Cui, Yiyue Ge, Haodi Huang, Ke Xu, Xiang Huo, Qigang Dai, Fēi Dèng and Wendong Liu. Their work appears in journals such as PLoS ONE, Scientific Reports, Infection and Drug Resistance, Virology Journal and Vector-Borne and Zoonotic Diseases.

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.

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