Siye Wang

750 citations
40 papers · 554 · h-index 10

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Infectious Encephalopathies and Encephalitis
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

Siye Wang

36 papers receiving 542 citations

Peers

Siye Wang
Comparison fields: 5 of 95
  • Infectious Diseases 131
  • Epidemiology 217
  • Immunology 136
  • Cardiology and Cardiovascular Medicine 65
  • Biological Psychiatry 5
Replace Judy Day with:
Judy Day United States
Yu Dou China
Hao Ren China
Xiaonan Fang China
Shun-Xian Zhang China
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Yanli Zou China
Paweł P. Łabaj Poland
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Siye Wang relative to Judy Day United States Judy Day's profile →
Citations per field
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Citations per year

Countries citing papers authored by Siye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Siye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Siye Wang, 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 Siye Wang Line = papers co-authored together Siye Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010159
2 201198
3 201059
4
Host envelope glycoprotein processing proteases are indispensable for entry into human cells by seasonal and highly pathogenic avian influenza viruses.
200856
5 201033
6 202218
7 202416
8 202315
9 201813
10 202113
11 20209
12 20168
13 20197
14 20236
15 20214
16 20193
17 20193
18 20193
19 20193
20 20113

About Siye Wang

Siye Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Computational Mechanics and Artificial Intelligence, having authored 40 papers that have together received 554 indexed citations. Recurring topics across this work include Advanced Wireless Communication Technologies (9 papers), Full-Duplex Wireless Communications (7 papers), Cooperative Communication and Network Coding (7 papers), Sparse and Compressive Sensing Techniques (5 papers), Blind Source Separation Techniques (4 papers), Energy Harvesting in Wireless Networks (4 papers), Influenza Virus Research Studies (4 papers) and UAV Applications and Optimization (3 papers). The work is most often cited by research in Infectious Diseases (131 citations), Epidemiology (217 citations), Immunology (136 citations), Cardiology and Cardiovascular Medicine (65 citations) and Biological Psychiatry (5 citations). Siye Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Junji Chida, Hiroshi Kido, Mihiro Yano, Trong Quang Le, Youssouf Cissé, Haiyan Pan, Naoki Kurihara, Etsuhisa Takahashi, Yuushi Okumura and Wenbo Xu. Their work appears in journals such as IEEE Transactions on Communications, IEEE Access, Science China Information Sciences, The Journal of Medical Investigation and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

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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